Microsoft Ignite 2025: Top Security Innovations You Need to Know
đ¤ Security & AI -The Big Story This Year 2025 marks a turning point for cybersecurity. Rapid adoption of AI across enterprises has unlocked innovation but introduced new risks. AI agents are now part of everyday workflows-automating tasks and interacting with sensitive dataâcreating new attack surfaces that traditional security models cannot fully address. Threat actors are leveraging AI to accelerate attacks, making speed and automation critical for defense. Organizations need solutions that deliver visibility, governance, and proactive risk management for both human and machine identities. Microsoft Ignite 2025 reflects this shift with announcements focused on securing AI at scale, extending Zero Trust principles to AI agents, and embedding intelligent automation into security operations. As a Senior Cybersecurity Solution Architect, Iâve curated the top security announcements from Microsoft Ignite 2025 to help you stay ahead of evolving threats and understand the latest innovations in enterprise security. Agent 365: Control Plane for AI Agents Agent 365 is a centralized platform that gives organizations full visibility, governance, and risk management over AI agents across Microsoft and third-party ecosystems. Why it matters: Unmanaged AI agents can introduce compliance gaps and security risks. Agent 365 ensures full lifecycle control. Key Features: Complete agent registry and discovery Access control and conditional policies Visualization of agent interactions and risk posture Built-in integration with Defender, Entra, and Purview Available via the Frontier Program Microsoft Agent 365: The control plane for AI agents Deep dive blog on Agent 365 Entra Agent ID: Zero Trust for AI Identities Microsoft Entra is the identity and access management suite (covering Azure AD, permissions, and secure access). Entra Agent ID extends Zero Trust identity principles to AI agents, ensuring they are governed like human identities. Why it matters: Unmanaged or over-privileged AI agents can create major security gaps. Agent ID enforces identity governance on AI agents and reduces automation risks. Key Features: Provides unique identities for AI agents Lifecycle governance and sponsorship for agents Conditional access policies applied to agent activity Integrated with open SDKs/APIs for thirdâparty platforms Microsoft Entra Agent ID Overview Entra Ignite 2025 announcements Public Preview details Security Copilot Expansion Security Copilot is Microsoftâs AI assistant for security teams, now expanded to automate threat hunting, phishing triage, identity risk remediation, and compliance tasks. Why it matters: Security teams face alert fatigue and resource constraints. Copilot accelerates response and reduces manual effort. Key Features: 12 new Microsoft-built agents across Defender, Entra, Intune, and Purview. 30+ partner-built agents available in the Microsoft Security Store. Automates threat hunting, phishing triage, identity risk remediation, and compliance tasks. Included for Microsoft 365 E5 customers at no extra cost. Security Copilot inclusion in Microsoft 365 E5 Security Copilot Ignite blog Security Dashboard for AI A unified dashboard for CISOs and risk leaders to monitor AI risks, aggregate signals from Microsoft security services, and assign tasks via Security Copilot - included at no extra cost. Why it matters: Provides a single pane of glass for AI risk management, improving visibility and decision-making. Key Features: Aggregates signals from Entra, Defender, and Purview Supports natural language queries for risk insights Enables task assignment via Security Copilot Ignite Session: Securing AI at Scale Microsoft Security Blog Microsoft Defender Innovations Microsoft Defender serves as Microsoftâs CNAPP solution, offering comprehensive, AI-driven threat protection that spans endpoints, email, cloud workloads, and SIEM/SOAR integrations. Why It Matters Modern attacks target multi-cloud environments and software supply chains. These innovations provide proactive defense, reduce breach risks before exploitation, and extend protection beyond Microsoft ecosystems-helping organizations secure endpoints, identities, and workloads at scale. Key Features: Predictive Shielding: Proactively hardens attack paths before adversaries pivot. Automatic Attack Disruption: Extended to AWS, Okta, and Proofpoint via Sentinel. Supply Chain Security: Defender for Cloud now integrates with GitHub Advanced Security. Whatâs new in Microsoft Defender at Ignite Defender for Cloud innovations Global Secure Access & AI Gateway Part of Microsoft Entraâs secure access portfolio, providing secure connectivity and inspection for web and AI traffic. Why it matters: Protects against lateral movement and AI-specific threats while maintaining secure connectivity. Key Features: TLS inspection, URL/file filtering AI Prompt Injection protection Private access for domain controllers to prevent lateral movement attacks. Learn about Secure Web and AI Gateway for agents Microsoft Entra: Whatâs new in secure access on the AI frontier Purview Enhancements Microsoft Purview is the data governance and compliance platform, ensuring sensitive data is classified, protected, and monitored. Why it matters: Ensures sensitive data remains protected and compliant in AI-driven environments. Key Features: AI Observability: Monitor agent activities and prevent sensitive data leakage. Compliance Guardrails: Communication compliance for AI interactions. Expanded DSPM: Data Security Posture Management for AI workloads. Announcing new Microsoft Purview capabilities to protect GenAI agents Intune Updates Microsoft Intune is a cloud-based endpoint device management solution that secures apps, devices, and data across platforms. It simplifies endpoint security management and accelerates response to device risks using AI. Why it matters: Endpoint security is critical as organizations manage diverse devices in hybrid environments. These updates reduce complexity, speed up remediation, and leverage AI-driven automation-helping security teams stay ahead of evolving threats. Key Features: Security Copilot agents automate policy reviews, device offboarding, and risk-based remediation. Enhanced remote management for Windows Recovery Environment (WinRE). Policy Configuration Agent in Intune lets IT admins create and validate policies with natural language Whatâs new in Microsoft Intune at Ignite Your guide to Intune at Ignite Closing Thoughts Microsoft Ignite 2025 signals the start of an AI-driven security era. From visibility and governance for AI agents to Zero Trust for machine identities, automation in security operations, and stronger compliance for AI workloads-these innovations empower organizations to anticipate threats, simplify governance, and accelerate secure AI adoption without compromising compliance or control. đ Full Coverage: Microsoft Ignite 2025 Book of NewsSecurity Guidance Series: CAF 4.0 Building Proactive Cyber Resilience
Itâs Time To Act Microsoft's Digital Defense Report 2025 clearly describes the cyber threat landscape that this guidance is situated in, one that has become more complex, more industrialized, and increasingly democratized. Each day, Microsoft processes more than 100 trillion security signals, giving unparalleled visibility into adversarial tradecraft. Identity remains the most heavily targeted attack vector, with 97% of identity-based attacks relying on password spray, while phishing and unpatched assets continue to provide easy routes for initial compromise. Financially motivated attacks, particularly ransomware and extortion, now make up over half of global incidents, and nation-state operators continue to target critical sectors, including IT, telecommunications, and Government networks. AI is accelerating both sides of the equation: enhancing attacker capability, lowering barriers to entry through open-source models, and simultaneously powering more automated, intelligence-driven defence. Alongside this, emerging risks such as quantum computing underline the urgency of preparing today for tomorrowâs threats. Cybersecurity has therefore become a strategic imperative shaping national resilience and demanding genuine cross-sector collaboration to mitigate systemic risk. It is within this environment that UK public sector organizations are rethinking their approach to cyber resilience. As an Account Executive Apprentice in the Local Public Services team here at Microsoft, I have seen how UK public sector organizations are rethinking their approach to cyber resilience, moving beyond checklists and compliance toward a culture of continuous improvement and intelligence-led defence. When we talk about the UK public sector in this series, we are referring specifically to central government departments, local government authorities, health and care organizations (including the NHS), education institutions, and public safety services such as police, fire, and ambulance. These organizations form a deeply interconnected ecosystem delivering essential services to millions of citizens every day, making cyber resilience not just a technical requirement but a foundation of public trust. Against this backdrop, the UK public sector is entering a new era of cyber resilience with the release of CAF 4.0, the latest evolution of the National Cyber Security Centreâs Cyber Assessment Framework. This guidance has been developed in consultation with national cyber security experts, including the UKâs National Cyber Security Centre (NCSC), and is an aggregation of knowledge and internationally recognized expertise. Building on the foundations of CAF 3.2, this update marks a decisive shift, like moving from a static map to a live radar. Instead of looking back at where threats once were, organizations can now better anticipate them and adjust their digital defences in real time. For the UKâs public sector, this transformation could not be timelier. The complexity of digital public services, combined with the growing threat of ransomware, insider threat, supply chain compromise, and threats from nation state actors, demands a faster, smarter, and more connected approach to resilience. Where CAF 3.2 focused on confirming the presence and effectiveness of security measures, CAF 4.0 places greater emphasis on developing organizational capability and improving resilience in a more dynamic threat environment. While the CAF remains an outcome-based framework, not a maturity model, it is structured around Objectives, Principles, and Contributing Outcomes, with each contributing outcome supported by Indicators of Good Practice. For simplicity, I refer to these contributing outcomes as âcontrolsâ throughout this blog and use that term to describe the practical expectations organizations are assessed against. CAF 4.0 challenges organizations not only to understand the threats they face but to anticipate, detect, and respond in a more informed and adaptive way. Two contributing outcomes exemplify this proactive mindset: A2.b Understanding Threat and C2 Threat Hunting. Together, they represent what it truly means to understand your adversaries and act before harm occurs. For the UKâs public sector, achieving these new objectives may seem daunting, but the path forward is clearer than ever. Many organizations are already beginning this journey, supported by technologies that help turn insight into action and coordination into resilience. At Microsoft, weâve seen how tools like E3, E5, and Sentinel are already helping public sector teams to move from reactive to intelligence-driven security operations. Over the coming weeks, weâll explore how these capabilities align to CAF 4.0âs core principles and share practical examples of how councils can strengthen their resilience journey through smarter visibility, automation, and collaboration. CAF 4.0 vs CAF 3.2 - Whatâs Changed and Why It Matters The move from CAF 3.2 to CAF 4.0 represents a fundamental shift in how the UK public sector builds cyber resilience. The focus is no longer on whether controls exist - it is on whether they work, adapt, and improve over time. CAF 4.0 puts maturity at the centre. It pushes organizations to evolve from compliance checklists to operational capability, adopting a threat-informed, intelligence-led, and proactive security posture, by design. CAF 4.0 raises the bar for cyber maturity across the public sector. It calls for departments and authorities to build on existing foundations and embrace live threat intelligence, behavioural analytics, and structured threat hunting to stay ahead of adversaries. By understanding how attackers might target essential services and adapting controls in real time, organizations can evolve from awareness to active defence. Todayâs threat actors are agile, persistent, and increasingly well-resourced, which means reactive measures are no longer enough. CAF 4.0 positions resilience as a continuous process of learning, adapting, and improving, supported by data-driven insights and modern security operations. CAF 4.0 is reshaping how the UKâs public sector approaches security maturity. In the coming weeks, weâll explore what this looks like in practice, starting with how to build a deeper understanding of threat (control A2.b) and elevate threat hunting (control C2) into an everyday capability, using the tools and insights that are available within existing Microsoft E3 and E5 licences to help support these objectives. Until then, how ready is your organization to turn insight into action?Security as the core primitive - Securing AI agents and apps
This week at Microsoft Ignite, we shared our vision for Microsoft security -- In the agentic era, security must be ambient and autonomous, like the AI it protects. It must be woven into and around everything we buildâfrom silicon to OS, to agents, apps, data, platforms, and cloudsâand throughout everything we do. In this blog, we are going to dive deeper into many of the new innovations we are introducing this week to secure AI agents and apps. As I spend time with our customers and partners, there are four consistent themes that have emerged as core security challenges to secure AI workloads. These are: preventing agent sprawl and access to resources, protecting against data oversharing and data leaks, defending against new AI threats and vulnerabilities, and adhering to evolving regulations. Addressing these challenges holistically requires a coordinated effort across IT, developers, and security leaders, not just within security teams and to enable this, we are introducing several new innovations: Microsoft Agent 365 for IT, Foundry Control Plane in Microsoft Foundry for developers, and the Security Dashboard for AI for security leaders. In addition, we are releasing several new purpose-built capabilities to protect and govern AI apps and agents across Microsoft Defender, Microsoft Entra, and Microsoft Purview. Observability at every layer of the stack To facilitate the organization-wide effort that it takes to secure and govern AI agents and apps â IT, developers, and security leaders need observability (security, management, and monitoring) at every level. IT teams need to enable the development and deployment of any agent in their environment. To ensure the responsible and secure deployment of agents into an organization, IT needs a unified agent registry, the ability to assign an identity to every agent, manage the agentâs access to data and resources, and manage the agentâs entire lifecycle. In addition, IT needs to be able to assign access to common productivity and collaboration tools, such as email and file storage, and be able to observe their entire agent estate for risks such as over-permissioned agents. Development teams need to build and test agents, apply security and compliance controls by default, and ensure AI models are evaluated for safety guardrails and security vulnerabilities. Post deployment, development teams must observe agents to ensure they are staying on task, accessing applications and data sources appropriately, and operating within their cost and performance expectations. Security & compliance teams must ensure overall security of their AI estate, including their AI infrastructure, platforms, data, apps, and agents. They need comprehensive visibility into all their security risks- including agent sprawl and resource access, data oversharing and leaks, AI threats and vulnerabilities, and complying with global regulations. They want to address these risks by extending their existing security investments that they are already invested in and familiar with, rather than using siloed or bolt-on tools. These teams can be most effective in delivering trustworthy AI to their organizations if security is natively integrated into the tools and platforms that they use every day, and if those tools and platforms share consistent security primitives such as agent identities from Entra; data security and compliance controls from Purview; and security posture, detections, and protections from Defender. With the new capabilities being released today, we are delivering observability at every layer of the AI stack, meeting IT, developers, and security teams where they are in the tools they already use to innovate with confidence. For IT Teams - Introducing Microsoft Agent 365, the control plane for agents, now in preview The best infrastructure for managing your agents is the one you already use to manage your users. With Agent 365, organizations can extend familiar tools and policies to confidently deploy and secure agents, without reinventing the wheel. By using the same trusted Microsoft 365 infrastructure, productivity apps, and protections, organizations can now apply consistent and familiar governance and security controls that are purpose-built to protect against agent-specific threats and risks. gement and governance of agents across organizations Microsoft Agent 365 delivers a unified agent Registry, Access Control, Visualization, Interoperability, and Security capabilities for your organization. These capabilities work together to help organizations manage agents and drive business value. The Registry powered by the Entra provides a complete and unified inventory of all the agents deployed and used in your organization including both Microsoft and third-party agents. Access Control allows you to limit the access privileges of your agents to only the resources that they need and protect their access to resources in real time. Visualization gives organizations the ability to see what matters most and gain insights through a unified dashboard, advanced analytics, and role-based reporting. Interop allows agents to access organizational data through Work IQ for added context, and to integrate with Microsoft 365 apps such as Outlook, Word, and Excel so they can create and collaborate alongside users. Security enables the proactive detection of vulnerabilities and misconfigurations, protects against common attacks such as prompt injections, prevents agents from processing or leaking sensitive data, and gives organizations the ability to audit agent interactions, assess compliance readiness and policy violations, and recommend controls for evolving regulatory requirements. Microsoft Agent 365 also includes the Agent 365 SDK, part of Microsoft Agent Framework, which empowers developers and ISVs to build agents on their own AI stack. The SDK enables agents to automatically inherit Microsoft's security and governance protections, such as identity controls, data security policies, and compliance capabilities, without the need for custom integration. For more details on Agent 365, read the blog here. For Developers - Introducing Microsoft Foundry Control Plane to observe, secure and manage agents, now in preview Developers are moving fast to bring agents into production, but operating them at scale introduces new challenges and responsibilities. Agents can access tools, take actions, and make decisions in real time, which means development teams must ensure that every agent behaves safely, securely, and consistently. Today, developers need to work across multiple disparate tools to get a holistic picture of the cybersecurity and safety risks that their agents may have. Once they understand the risk, they then need a unified and simplified way to monitor and manage their entire agent fleet and apply controls and guardrails as needed. Microsoft Foundry provides a unified platform for developers to build, evaluate and deploy AI apps and agents in a responsible way. Today we are excited to announce that Foundry Control Plane is available in preview. This enables developers to observe, secure, and manage their agent fleets with built-in security, and centralized governance controls. With this unified approach, developers can now identify risks and correlate disparate signals across their models, agents, and tools; enforce consistent policies and quality gates; and continuously monitor task adherence and runtime risks. Foundry Control Plane is deeply integrated with Microsoftâs security portfolio to provide a âsecure by designâ foundation for developers. With Microsoft Entra, developers can ensure an agent identity (Agent ID) and access controls are built into every agent, mitigating the risk of unmanaged agents and over permissioned resources. With Microsoft Defender built in, developers gain contextualized alerts and posture recommendations for agents directly within the Foundry Control Plane. This integration proactively prevents configuration and access risks, while also defending agents from runtime threats in real time. Microsoft Purviewâs native integration into Foundry Control Plane makes it easy to enable data security and compliance for every Foundry-built application or agent. This allows Purview to discover data security and compliance risks and apply policies to prevent user prompts and AI responses from safety and policy violations. In addition, agent interactions can be logged and searched for compliance and legal audits. This integration of the shared security capabilities, including identity and access, data security and compliance, and threat protection and posture ensures that security is not an afterthought; itâs embedded at every stage of the agent lifecycle, enabling you to start secure and stay secure. For more details, read the blog. For Security Teams - Introducing Security Dashboard for AI - unified risk visibility for CISOs and AI risk leaders, coming soon AI proliferation in the enterprise, combined with the emergence of AI governance committees and evolving AI regulations, leaves CISOs and AI risk leaders needing a clear view of their AI risks, such as data leaks, model vulnerabilities, misconfigurations, and unethical agent actions across their entire AI estate, spanning AI platforms, apps, and agents. 90% of security professionals, including CISOs, report that their responsibilities have expanded to include data governance and AI oversight within the past year. 1 At the same time, 86% of risk managers say disconnected data and systems lead to duplicated efforts and gaps in risk coverage. 2 To address these needs, we are excited to introduce the Security Dashboard for AI. This serves as a unified dashboard that aggregates posture and real-time risk signals from Microsoft Defender, Microsoft Entra, and Microsoft Purview. This unified dashboard allows CISOs and AI risk leaders to discover agents and AI apps, track AI posture and drift, and correlate risk signals to investigate and act across their entire AI ecosystem. For example, you can see your full AI inventory and get visibility into a quarantined agent, flagged for high data risk due to oversharing sensitive information in Purview. The dashboard then correlates that signal with identity insights from Entra and threat protection alerts from Defender to provide a complete picture of exposure. From there, you can delegate tasks to the appropriate teams to enforce policies and remediate issues quickly. With the Security Dashboard for AI, CISOs and risk leaders gain a clear, consolidated view of AI risks across agents, apps, and platformsâeliminating fragmented visibility, disconnected posture insights, and governance gaps as AI adoption scales. Best of all, thereâs nothing new to buy. If youâre already using Microsoft security products to secure AI, youâre already a Security Dashboard for AI customer. Figure 5: Security Dashboard for AI provides CISOs and AI risk leaders with a unified view of their AI risk by bringing together their AI inventory, AI risk, and security recommendations to strengthen overall posture Together, these innovations deliver observability and security across IT, development, and security teams, powered by Microsoftâs shared security capabilities. With Microsoft Agent 365, IT teams can manage and secure agents alongside users. Foundry Control Plane gives developers unified governance and lifecycle controls for agent fleets. Security Dashboard for AI provides CISOs and AI risk leaders with a consolidated view of AI risks across platforms, apps, and agents. Added innovation to secure and govern your AI workloads In addition to the IT, developer, and security leader-focused innovations outlined above, we continue to accelerate our pace of innovation in Microsoft Entra, Microsoft Purview, and Microsoft Defender to address the most pressing needs for securing and governing your AI workloads. These needs are: Manage agent sprawl and resource access e.g. managing agent identity, access to resources, and permissions lifecycle at scale Prevent data oversharing and leaks e.g. protecting sensitive information shared in prompts, responses, and agent interactions Defend against shadow AI, new threats, and vulnerabilities e.g. managing unsanctioned applications, preventing prompt injection attacks, and detecting AI supply chain vulnerabilities Enable AI governance for regulatory compliance e.g. ensuring AI development, operations, and usage comply with evolving global regulations and frameworks Manage agent sprawl and resource access 76% of business leaders expect employees to manage agents within the next 2â3 years. 3 Widespread adoption of agents is driving the need for visibility and control, which includes the need for a unified registry, agent identities, lifecycle governance, and secure access to resources. Today, Microsoft Entra provides robust identity protection and secure access for applications and users. However, organizations lack a unified way to manage, govern, and protect agents in the same way they manage their users. Organizations need a purpose-built identity and access framework for agents. Introducing Microsoft Entra Agent ID, now in preview Microsoft Entra Agent ID offers enterprise-grade capabilities that enable organizations to prevent agent sprawl and protect agent identities and their access to resources. These new purpose-built capabilities enable organizations to: Register and manage agents: Get a complete inventory of the agent fleet and ensure all new agents are created with an identity built-in and are automatically protected by organization policies to accelerate adoption. Govern agent identities and lifecycle: Keep the agent fleet under control with lifecycle management and IT-defined guardrails for both agents and people who create and manage them. Protect agent access to resources: Reduce risk of breaches, block risky agents, and prevent agent access to malicious resources with conditional access and traffic inspection. Agents built in Microsoft Copilot Studio, Microsoft Foundry, and Security Copilot get an Entra Agent ID built-in at creation. Developers can also adopt Entra Agent ID for agents they build through Microsoft Agent Framework, Microsoft Agent 365 SDK, or Microsoft Entra Agent ID SDK. Read the Microsoft Entra blog to learn more. Prevent data oversharing and leaks Data security is more complex than ever. Information Security Media Group (ISMG) reports that 80% of leaders cite leakage of sensitive data as their top concern. 4 In addition to data security and compliance risks of generative AI (GenAI) apps, agents introduces new data risks such as unsupervised data access, highlighting the need to protect all types of corporate data, whether it is accessed by employees or agents. To mitigate these risks, we are introducing new Microsoft Purview data security and compliance capabilities for Microsoft 365 Copilot and for agents and AI apps built with Copilot Studio and Microsoft Foundry, providing unified protection, visibility, and control for users, AI Apps, and Agents. New Microsoft Purview controls safeguard Microsoft 365 Copilot with real-time protection and bulk remediation of oversharing risks Microsoft Purview and Microsoft 365 Copilot deliver a fully integrated solution for protecting sensitive data in AI workflows. Based on ongoing customer feedback, weâre introducing new capabilities to deliver real-time protection for sensitive data in M365 Copilot and accelerated remediation of oversharing risks: Data risk assessments: Previously, admins could monitor oversharing risks such as SharePoint sites with unprotected sensitive data. Now, they can perform item-level investigations and bulk remediation for overshared files in SharePoint and OneDrive to quickly reduce oversharing exposure. Data Loss Prevention (DLP) for M365 Copilot: DLP previously excluded files with sensitivity labels from Copilot processing. Now in preview, DLP also prevents prompts that include sensitive data from being processed in M365 Copilot, Copilot Chat, and Copilot agents, and prevents Copilot from using sensitive data in prompts for web grounding. Priority cleanup for M365 Copilot assets: Many organizations have org-wide policies to retain or delete data. Priority cleanup, now generally available, lets admins delete assets that are frequently processed by Copilot, such as meeting transcripts and recordings, on an independent schedule from the org-wide policies while maintaining regulatory compliance. On-demand classification for meeting transcripts: Purview can now detect sensitive information in meeting transcripts on-demand. This enables data security admins to apply DLP policies and enforce Priority cleanup based on the sensitive information detected. & bulk remediation Read the full Data Security blog to learn more. Introducing new Microsoft Purview data security capabilities for agents and apps built with Copilot Studio and Microsoft Foundry, now in preview Microsoft Purview now extends the same data security and compliance for users and Copilots to agents and apps. These new capabilities are: Enhanced Data Security Posture Management: A centralized DSPM dashboard that provides observability, risk assessment, and guided remediation across users, AI apps, and agents. Insider Risk Management (IRM) for Agents: Uniquely designed for agents, using dedicated behavioral analytics, Purview dynamically assigns risk levels to agents based on their risky handing of sensitive data and enables admins to apply conditional policies based on that risk level. Sensitive data protection with Azure AI Search: Azure AI Search enables fast, AI-driven retrieval across large document collections, essential for building AI Apps. When apps or agents use Azure AI Search to index or retrieve data, Purview sensitivity labels are preserved in the search index, ensuring that any sensitive information remains protected under the organizationâs data security & compliance policies. For more information on preventing data oversharing and data leaks - Learn how Purview protects and governs agents in the Data Security and Compliance for Agents blog. Defend against shadow AI, new threats, and vulnerabilities AI workloads are subject to new AI-specific threats like prompt injections attacks, model poisoning, and data exfiltration of AI generated content. Although security admins and SOC analysts have similar tasks when securing agents, the attack methods and surfaces differ significantly. To help customers defend against these novel attacks, we are introducing new capabilities in Microsoft Defender that deliver end-to-end protection, from security posture management to runtime defense. Introducing Security Posture Management for agents, now in preview As organizations adopt AI agents to automate critical workflows, they become high-value targets and potential points of compromise, creating a critical need to ensure agents are hardened, compliant, and resilient by preventing misconfigurations and safeguarding against adversarial manipulation. Security Posture Management for agents in Microsoft Defender now provides an agent inventory for security teams across Microsoft Foundry and Copilot Studio agents. Here, analysts can assess the overall security posture of an agent, easily implement security recommendations, and identify vulnerabilities such as misconfigurations and excessive permissions, all aligned to the MITRE ATT&CK framework. Additionally, the new agent attack path analysis visualizes how an agentâs weak security posture can create broader organizational risk, so you can quickly limit exposure and prevent lateral movement. Introducing Threat Protection for agents, now in preview Attack techniques and attack surfaces for agents are fundamentally different from other assets in your environment. Thatâs why Defender is delivering purpose-built protections and detections to help defend against them. Defender is introducing runtime protection for Copilot Studio agents that automatically block prompt injection attacks in real time. In addition, we are announcing agent-specific threat detections for Copilot Studio and Microsoft Foundry agents coming soon. Defender automatically correlates these alerts with Microsoftâs industry-leading threat intelligence and cross-domain security signals to deliver richer, contextualized alerts and security incident views for the SOC analyst. Defenderâs risk and threat signals are natively integrated into the new Microsoft Foundry Control Plane, giving development teams full observability and the ability to act directly from within their familiar environment. Finally, security analysts will be able to hunt across all agent telemetry in the Advanced Hunting experience in Defender, and the new Agent 365 SDK extends Defenderâs visibility and hunting capabilities to third-party agents, starting with Genspark and Kasisto, giving security teams even more coverage across their AI landscape. To learn more about how you can harden the security posture of your agents and defend against threats, read the Microsoft Defender blog. Enable AI governance for regulatory compliance Global AI regulations like the EU AI Act and NIST AI RMF are evolving rapidly; yet, according to ISMG, 55% of leaders report lacking clarity on current and future AI regulatory requirements. 5 As enterprises adopt AI, they must ensure that their AI innovation aligns with global regulations and standards to avoid costly compliance gaps. Introducing new Microsoft Purview Compliance Manager capabilities to stay ahead of evolving AI regulations, now in preview Today, Purview Compliance Manager provides over 300 pre-built assessments for common industry, regional, and global standards and regulations. However, the pace of change for new AI regulations requires controls to be continuously re-evaluated and updated so that organizations can adapt to ongoing changes in regulations and stay compliant. To address this need, Compliance Manager now includes AI-powered regulatory templates. AI-powered regulatory templates enable real-time ingestion and analysis of global regulatory documents, allowing compliance teams to quickly adapt to changes as they happen. As regulations evolve, the updated regulatory documents can be uploaded to Compliance Manager, and the new requirements are automatically mapped to applicable recommended actions to implement controls across Microsoft Defender, Microsoft Entra, Microsoft Purview, Microsoft 365, and Microsoft Foundry. Automated actions by Compliance Manager further streamline governance, reduce manual workload, and strengthen regulatory accountability. Introducing expanded Microsoft Purview compliance capabilities for agents and AI apps now in preview Microsoft Purview now extends its compliance capabilities across agent-generated interactions, ensuring responsible use and regulatory alignment as AI becomes deeply embedded across business processes. New capabilities include expanded coverage for: Audit: Surface agent interactions, lifecycle events, and data usage with Purview Audit. Unified audit logs across user and agent activities, paired with traceability for every agent using an Entra Agent ID, support investigation, anomaly detection, and regulatory reporting. Communication Compliance: Detect prompts sent to agents and agent-generated responses containing inappropriate, unethical, or risky language, including attempts to manipulate agents into bypassing policies, generating risky content, or producing noncompliant outputs. When issues arise, data security admins get full context, including the prompt, the agentâs output, and relevant metadata, so they can investigate and take corrective action Data Lifecycle Management: Apply retention and deletion policies to agent-generated content and communication flows to automate lifecycle controls and reduce regulatory risk. Read about Microsoft Purview data security for agents to learn more. Finally, we are extending our data security, threat protection, and identity access capabilities to third-party apps and agents via the network. Advancing Microsoft Entra Internet Access Secure Web + AI Gateway - extend runtime protections to the network, now in preview Microsoft Entra Internet Access, part of the Microsoft Entra Suite, has new capabilities to secure access to and usage of GenAI at the network level, marking a transition from Secure Web Gateway to Secure Web and AI Gateway. Enterprises can accelerate GenAI adoption while maintaining compliance and reducing risk, empowering employees to experiment with new AI tools safely. The new capabilities include: Prompt injection protection which blocks malicious prompts in real time by extending Azure AI Prompt Shields to the network layer. Network file filtering which extends Microsoft Purview to inspect files in transit and prevents regulated or confidential data from being uploaded to unsanctioned AI services. Shadow AI Detection that provides visibility into unsanctioned AI applications through Cloud Application Analytics and Defender for Cloud Apps risk scoring, empowering security teams to monitor usage trends, apply Conditional Access, or block high-risk apps instantly. Unsanctioned MCP server blocking prevents access to MCP servers from unauthorized agents. With these controls, you can accelerate GenAI adoption while maintaining compliance and reducing risk, so employees can experiment with new AI tools safely. Read the Microsoft Entra blog to learn more. As AI transforms the enterprise, security must evolve to meet new challengesâspanning agent sprawl, data protection, emerging threats, and regulatory compliance. Our approach is to empower IT, developers, and security leaders with purpose-built innovations like Agent 365, Foundry Control Plane, and the Security Dashboard for AI. These solutions bring observability, governance, and protection to every layer of the AI stack, leveraging familiar tools and integrated controls across Microsoft Defender, Microsoft Entra, and Microsoft Purview. The future of security is ambient, autonomous, and deeply woven into the fabric of how we build, deploy, and govern AI systems. Explore additional resources Learn more about Security for AI solutions on our webpage Learn more about Microsoft Agent 365 Learn more about Microsoft Entra Agent ID Get started with Microsoft 365 Copilot Get started with Microsoft Copilot Studio Get started with Microsoft Foundry Get started with Microsoft Defender for Cloud Get started with Microsoft Entra Get started with Microsoft Purview Get started with Microsoft Purview Compliance Manager Sign up for a freeâŻMicrosoft 365 E5 Security TrialâŻandâŻMicrosoft Purview Trial⯠1 Bedrock Security, 2025 Data Security Confidence Index, published Mar 17, 2025. 2 AuditBoard & Ascend2, Connected Risk Report 2024; as cited by MIT Sloan Management Review, Spring 2025. 3 KPMG AI Quarterly Pulse Survey | Q3 2025. September 2025. n= 130 U.S.-based C-suite and business leaders representing organizations with annual revenue of $1 billion or moreâ 4 First Annual Generative AI study: Business Rewards vs. Security Risks, , Q3 2023, ISMG, N=400 5 First Annual Generative AI study: Business Rewards vs. Security Risks, Q3 2023, ISMG, N=400Microsoft Security Store: Now Generally Available
When we launched the Microsoft Security Store in public preview on September 30, our goal was simple: make it easier for organizations to discover, purchase, and deploy trusted security solutions and AI agents that integrate seamlessly with Microsoft Security products. Today, Microsoft Security Store is generally availableâwith three major enhancements: Embedded where you work: Security Store is now built into Microsoft Defender, featuring SOC-focused agents, and into Microsoft Entra for Verified ID and External ID scenarios like fraud protection. By bringing these capabilities into familiar workflows, organizations can combine Microsoft and partner innovation to strengthen security operations and outcomes. Expanded catalog: Security Store now offers more than 100 third-party solutions, including advanced fraud prevention, forensic analysis, and threat intelligence agents. Security services available: Partners can now list and sell services such as managed detection and response and threat hunting directly through Security Store. Real-World Impact: What We Learned in Public Preview Thousands of customers explored Microsoft Security Store and tried a growing catalog of agents and SaaS solutions. While we are at the beginning of our journey, customer feedback shows these solutions are helping teams apply AI to improve security operations and reduce manual effort. Spairliners, a cloud-first aviation services joint venture between Air France and Lufthansa, strengthened identity and access controls by deploying Glueckkanjaâs Privileged Admin Watchdog to enforce just-in-time access. âUsing the Security Store felt easy, like adding an app in Entra. For a small team, being able to find and deploy security innovations in minutes is huge.â â Jonathan Mayer, Head of Innovation, Data and Quality GTD, a Chilean technology and telecommunications company, is testing a variety of agents from the Security Store: âAs any security team, weâre always looking for ways to automate and simplify our operations. We are exploring and applying the world of agents more and more each day so having the Security Store is convenientâitâs easy to find and deploy agents. Weâre excited about the possibilities for further automation and integrations into our workflows, like event-triggered agents, deeper Outlook integration, and more." â Jonathan Lopez Saez, Cybersecurity Architect Partners echoed the momentum they are seeing with the Security Store: âWeâre excited by the early momentum with Security Store. Weâve already received multiple new leads since going live, including one in a new market for us, and we have multiple large deals weâre looking to drive through Security Store this quarter.â - Kim Brault, Head of Alliances, Delinea âPartnering with Microsoft through the Security Store has unlocked new ways to reach enterprise customers at scale. The store is pivotal as the industry shifts toward AI, enabling us to monetize agents without building our own billing infrastructure. With the new embedded experience, our solutions appear at the exact moment customers are looking to solve real problems. And by working with Microsoftâs vetting process, we help provide customers confidence to adopt AI agentsâ â Milan Patel, Co-founder and CEO, BlueVoyant âAgents and the Microsoft Security Store represent a major step forward in bringing AI into security operations. Weâve turned years of service experience into agentic automations, and itâs resonating with customersâweâve been positively surprised by how quickly theyâre adopting these solutions and embedding our automated agentic expertise into their workflows.â â Christian Kanja, Founder and CEO of glueckkanja New at GA: Embedded in Defender, EntraâSecurity Solutions right where you work Microsoft Security Store is now embedded in the Defender and Entra portals with partner solutions that extend your Microsoft Security products. By placing Security Store in front of security practitioners, itâs now easier than ever to use the best of partner and Microsoft capabilities in combination to drive stronger security outcomes. As Dorothy Li, Corporate Vice President of Security Copilot and Ecosystem put it, âEmbedding the Security Store in our core security products is about giving customers access to innovative solutions that tap into the expertise of our partners. These solutions integrate with Microsoft Security products to complete end-to-end workflows, helping customers improve their securityâ Within the Microsoft Defender portal, SOC teams can now discover Copilot agents from both Microsoft and partners in the embedded Security Store, and run them all from a single, familiar interface. Letâs look at an example of how these agents might help in the day of the life of a SOC analyst. The day starts with Watchtower (BlueVoyant) confirming Sentinel connectors and Defender sensors are healthy, so investigations begin with full visibility. As alerts arrive, the Microsoft Defender Copilot Alert Triage Agent groups related signals, extracts key evidence, and proposes next steps; identity related cases are then validated with Login Investigator (adaQuest), which baselines recent sign-in behavior and device posture to cut false positives. To stay ahead of emerging campaigns, the analyst checks the Microsoft Threat Intelligence Briefing Agent for concise threat rundowns tied to relevant indicators, informing hunts and temporary hardening. When HR flags an offboarding, GuardianIQ (People Tech Group) correlates activity across Entra ID, email, and files to surface possible data exfiltration with evidence and risk scores. After containment, Automated Closing Comment Generator (Ascent Global Inc.) produces clear, consistent closure notes from Defender incident details, keeping documentation tight without hours of writing. Together, these Microsoft and partner agents maintain platform health, accelerate triage, sharpen identity decisions, add timely threat context, reduce insider risk blind spots, and standardize reportingâall inside the Defender portal. You can read more about the new agents available in the Defender portal in this blog. In addition, Security Store is now integrated into Microsoft Entra, focused on identity-centric solutions. Identity admins can discover and activate partner offerings for DDoS protection, intelligent bot defense, and government IDâbased verification for account recovery âall within the Entra portal. With these capabilities, Microsoft Entra delivers a seamless, multi-layered defense that combines built-in identity protection with best-in-class partner technologies, making it easier than ever for enterprises to strengthen resilience against modern identity threats. Learn more here. Levent Besik, VP of Microsoft Entra, shared that âThis sets a new benchmark for identity security and partner innovation at Microsoft. Attacks on digital identities can come from anywhere. True security comes from defense in depth, layering protection across the entire user journey so every interaction, from the first request to identity recovery, stays secure. This launch marks only the beginning; we will continue to introduce additional layers of protection to safeguard every aspect of the identity journeyâ New at GA: Services Added to a Growing Catalog of Agents and SaaS For the first time, partners can offer their security services directly through the Security Store. Customers can now find, buy, and activate managed detection and response, threat hunting, and other expert servicesâmaking it easier to augment internal teams and scale security operations. Every listing has a MXDR Verification that certifies they are providing next generation advanced threat detection and response services. You can browse all the services available at launch here, and read about some of our exciting partners below: Avanade is proud to be a launch partner for professional services in the Microsoft Security Store. As a leading global Microsoft Security Services provider, weâre excited to make our offerings easier to find and help clients strengthen cyber defenses faster through this streamlined platform - Jason Revill, Avanade Global Security Technology Lead ProServeIT partnering with Microsoft to have our offers in the Microsoft Security Store helps ProServeIT protect our joint customers and allows us to sell better with Microsoft sellers. It shows customers how our technology and services support each other to create a safe and secure platform - Eric Sugar, President Having Replyâs security services showcased in the Microsoft Security Store is a significant milestone for us. It amplifies our ability to reach customers at the exact point where they evaluate and activate Microsoft security solutions, ensuring our offerings are visible alongside Microsoftâs trusted technologies. Notable New Selections Since public preview, the Security Store catalog has grown significantly. Customers can now choose from over 100 third-party solutions, including 60+ SaaS offerings and 50+ Security Copilot agents, with new additions every week. Recent highlights include Cisco Duo and Rubrik: Cisco Duo IAM delivers comprehensive, AI-driven identity protection combining MFA, SSO, passwordless and unified directory management. Duo IAM seamlessly integrates across the Microsoft Security suiteâenhancing Entra ID with risk-based authentication and unified access policy management across cloud and on-premises applications seamlessly in just a few clicks. Intune for device compliance and access enforcement. Sentinel for centralized security monitoring and threat detection through critical log ingestion about authentication events, administrator actions, and risk-based alerts, providing real-time visibility across the identity stack. Rubrik's data security platform delivers complete cyber resilience across enterprise, cloud, and SaaS alongside Microsoft. Through the Microsoft Sentinel integration, Rubrikâs data management capabilities are combined with Sentinelâs security analytics to accelerate issue resolution, enabling unified visibility and streamlined responses. Furthermore, Rubrik empowers organizations to reduce identity risk and ensure operational continuity with real-time protection, unified visibility and rapid recovery across Microsoft Active Directory and Entra ID infrastructure. The Road Ahead This is just the beginning. Microsoft Security Store will continue to make it even easier for customers to improve their security outcomes by tapping into the innovation and expertise of our growing partner ecosystem. The momentum weâre seeing is clearâcustomers are already gaining real efficiencies and stronger outcomes by adopting AI-powered agents. As we work together with partners, weâll unlock even more automation, deeper integrations, and new capabilities that help security teams move faster and respond smarter. Explore the Security Store today to see whatâs possible. For a more detailed walk-through of the capabilities, read our previous public preview Tech Community post If youâre a partner, now is the time to list your solutions and join us in shaping the future of security.Ignite your future with new security skills during Microsoft Ignite 2025
Ignite your future with new security skills during Microsoft Ignite 2025 AI and cloud technologies are reshaping every industry. Organizations need professionals who can secure AI solutions, modernize infrastructure, and drive innovation responsibly. Ignite brings together experts, learning, and credentials to help you get skilled for the future. Take on the Secure and Govern AI with Confidence Challenge Start your journey with the Azure Skilling Microsoft Challenge. These curated challenges help you practice real-world scenarios and earn recognition for your skills. One of the challenges featured is the Secure and Govern AI with Confidence challenge. This challenge helps you: Implement AI governance frameworks. Configure responsible AI guardrails in Azure AI Foundry. Apply security best practices for AI workloads. Special Offer: Be among the first 5,000 participants to complete this challenge and receive a discounted certification exam voucherâa perfect way to validate your skills and accelerate your career. Completing this challenge earns you a badge and prepares you for advanced credentialsâideal for anyone looking to lead in AI security. Join the challenge today! Validate Your Expertise with this new Microsoft Applied Skill. Applied Skills assessments are scenario-based, so you demonstrate practical expertiseânot just theory. Earn the Secure AI Solutions in the Cloud credentialâa job-ready validation of your ability to: Configure security for AI services using Microsoft Defender for Cloud. Implement governance and guardrails in Azure AI Foundry. Protect sensitive data and ensure compliance across AI workloads. This applied skill is designed for professionals who want to lead in AI security, accelerate career growth, and stand out in a competitive market. To learn how to prepare and take the applied skill, visit here. Your Next Steps: Security Plans Ignite isnât just about live sessionsâitâs about giving you on-demand digital content and curated learning paths so you can keep building skills long after the event ends. With 15 curated security plans that discuss topics such as controlling access with Microsoft Entra and securing your organizationâs data, find what is relevant to you on Microsoft Ignite: Keep the momentum going page.Introducing Microsoft Security Store
Security is being reengineered for the AI eraâmoving beyond static, rulebound controls and after-the-fact response toward platform-led, machine-speed defense. We recognize that defending against modern threats requires the full strength of an ecosystem, combining our unique expertise and shared threat intelligence. But with so many options out there, itâs tough for security professionals to cut through the noise, and even tougher to navigate long procurement cycles and stitch together tools and data before seeing meaningful improvements. Thatâs why we built Microsoft Security Store - a storefront designed for security professionals to discover, buy, and deploy security SaaS solutions and AI agents from our ecosystem partners such as Darktrace, Illumio, and BlueVoyant. Security SaaS solutions and AI agents on Security Store integrate with Microsoft Security products, including Sentinel platform, to enhance end-to-end protection. These integrated solutions and agents collaborate intelligently, sharing insights and leveraging AI to enhance critical security tasks like triage, threat hunting, and access management. In Security Store, you can: Buy with confidence â Explore solutions and agents that are validated to integrate with Microsoft Security products, so you know theyâll work in your environment. Listings are organized to make it easy for security professionals to find whatâs relevant to their needs. For example, you can filter solutions based on how they integrate with your existing Microsoft Security products. You can also browse listings based on their NIST Cybersecurity Framework functions, covering everything from network security to compliance automation â helping you quickly identify which solutions strengthen the areas that matter most to your security posture. Simplify purchasing â Buy solutions and agents with your existing Microsoft billing account without any additional payment setup. For Azure benefit-eligible offers, eligible purchases contribute to your cloud consumption commitments. You can also purchase negotiated deals through private offers. Accelerate time to value â Deploy agents and their dependencies in just a few steps and start getting value from AI in minutes. Partners offer ready-to-use AI agents that can triage alerts at scale, analyze and retrieve investigation insights in real time, and surface posture and detection gaps with actionable recommendations. A rich ecosystem of solutions and AI agents to elevate security posture In Security Store, youâll find solutions covering every corner of cybersecurityâthreat protection, data security and governance, identity and device management, and more. To give you a flavor of what is available, here are some of the exciting solutions on the store: Darktraceâs ActiveAI Security SaaS solution integrates with Microsoft Security to extend self-learning AI across a customer's entire digital estate, helping detect anomalies and stop novel attacks before they spread. The Darktrace Email Analysis Agent helps SOC teams triage and threat hunt suspicious emails by automating detection of risky attachments, links, and user behaviors using Darktrace Self-Learning AI, integrated with Microsoft Defender and Security Copilot. This unified approach highlights anomalous properties and indicators of compromise, enabling proactive threat hunting and faster, more accurate response. Illumio for Microsoft Sentinel combines Illumio Insights with Microsoft Sentinel data lake and Security Copilot to enhance detection and response to cyber threats. It fuses data from Illumio and all the other sources feeding into Sentinel to deliver a unified view of threats across millions of workloads. AI-driven breach containment from Illumio gives SOC analysts, incident responders, and threat hunters unified visibility into lateral traffic threats and attack paths across hybrid and multi-cloud environments, to reduce alert fatigue, prioritize threat investigation, and instantly isolate workloads. Netskopeâs Security Service Edge (SSE) platform integrates with Microsoft M365, Defender, Sentinel, Entra and Purview for identity-driven, label-aware protection across cloud, web, and private apps. Netskope's inline controls (SWG, CASB, ZTNA) and advanced DLP, with Entra signals and Conditional Access, provide real-time, context-rich policies based on user, device, and risk. Telemetry and incidents flow into Defender and Sentinel for automated enrichment and response, ensuring unified visibility, faster investigations, and consistent Zero Trust protection for cloud, data, and AI everywhere. PERFORMANTA Email Analysis Agent automates deep investigations into email threats, analyzing metadata (headers, indicators, attachments) against threat intelligence to expose phishing attempts. Complementing this, the IAM Supervisor Agent triages identity risks by scrutinizing user activity for signs of credential theft, privilege misuse, or unusual behavior. These agents deliver unified, evidence-backed reports directly to you, providing instant clarity and slashing incident response time. Tanium Autonomous Endpoint Management (AEM) pairs realtime endpoint visibility with AI-driven automation to keep IT environments healthy and secure at scale. Tanium is integrated with the Microsoft Security suiteâincluding Microsoft Sentinel, Defender for Endpoint, Entra ID, Intune, and Security Copilot. Tanium streams current state telemetry into Microsoftâs security and AI platforms and lets analysts pivot from investigation to remediation without tool switching. Tanium even executes remediation actions from the Sentinel console. The Tanium Security Triage Agent accelerates alert triage, enabling security teams to make swift, informed decisions using Tanium Threat Response alerts and real-time endpoint data. Walkthrough of Microsoft Security Store Now that youâve seen the types of solutions available in Security Store, letâs walk through how to find the right one for your organization. You can get started by going to the Microsoft Security Store portal. From there, you can search and browse solutions that integrate with Microsoft Security products, including a dedicated section for AI agentsâall in one place. If you are using Microsoft Security Copilot, you can also open the store from within Security Copilot to find AI agents - read more here. Solutions are grouped by how they align with industry frameworks like NIST CSF 2.0, making it easier to see which areas of security each one supports. You can also filter by integration typeâe.g., Defender, Sentinel, Entra, or Purviewâand by compliance certifications to narrow results to what fits your environment. To explore a solution, click into its detail page to view descriptions, screenshots, integration details, and pricing. For AI agents, youâll also see the tasks they perform, the inputs they require, and the outputs they produce âso you know what to expect before you deploy. Every listing goes through a review process that includes partner verification, security scans on code packages stored in a secure registry to protect against malware, and validation that integrations with Microsoft Security products work as intended. Customers with the right permissions can purchase agents and SaaS solutions directly through Security Store. The process is simple: choose a partner solution or AI agent and complete the purchase in just a few clicks using your existing Microsoft billing accountâno new payment setup required. Qualifying SaaS purchases also count toward your Microsoft Azure Consumption Commitment (MACC), helping accelerate budget approvals while adding the security capabilities your organization needs. Security and IT admins can deploy solutions directly from Security Store in just a few steps through a guided experience. The deployment process automatically provisions the resources each solution needsâsuch as Security Copilot agents and Microsoft Sentinel data lake notebook jobsâso you donât have to do so manually. Agents are deployed into Security Copilot, which is built with security in mind, providing controls like granular agent permissions and audit trails, giving admins visibility and governance. Once deployment is complete, your agent is ready to configure and use so you can start applying AI to expand detection coverage, respond faster, and improve operational efficiency. Security and IT admins can view and manage all purchased solutions from the âMy Solutionsâ page and easily navigate to Microsoft Cost Management tools to track spending and manage subscriptions. Partners: grow your business with Microsoft For security partners, Security Store opens a powerful new channel to reach customers, monetize differentiated solutions, and grow with Microsoft. We will showcase select solutions across relevant Microsoft Security experiences, starting with Security Copilot, so your offerings appear in the right context for the right audience. You can monetize both SaaS solutions and AI agents through built-in commerce capabilities, while tapping into Microsoftâs go-to-market incentives. For agent builders, itâs even simplerâwe handle the entire commerce lifecycle, including billing and entitlement, so you donât have to build any infrastructure. You focus on embedding your security expertise into the agent, and we take care of the rest to deliver a seamless purchase experience for customers. Security Store is built on top of Microsoft Marketplace, which means partners publish their solution or agent through the Microsoft Partner Center - the central hub for managing all marketplace offers. From there, create or update your offer with details about how your solution integrates with Microsoft Security so customers can easily discover it in Security Store. Next, upload your deployable package to the Security Store registry, which is encrypted for protection. Then define your license model, terms, and pricing so customers know exactly what to expect. Before your offer goes live, it goes through certification checks that include malware and virus scans, schema validation, and solution validation. These steps help give customers confidence that your solutions meet Microsoftâs integration standards. Get started today By creating a storefront optimized for security professionals, we are making it simple to find, buy, and deploy solutions and AI agents that work together. Microsoft Security Store helps you put the right AIâpowered tools in place so your team can focus on what matters mostâdefending against attackers with speed and confidence. Get started today by visiting Microsoft Security Store. If youâre a partner looking to grow your business with Microsoft, start by visiting Microsoft Security Store - Partner with Microsoft to become a partner. Partners can list their solution or agent if their solution has a qualifying integration with Microsoft Security products, such as a Sentinel connector or Security Copilot agent, or another qualifying MISA solution integration. You can learn more about qualifying integrations and the listing process in our documentation here.From Traditional Security to AI-Driven Cyber Resilience: Microsoftâs Approach to Securing AI
By Chirag Mehta, Vice President and Principal Analyst - Constellation Research AI is changing the way organizations work. It helps teams write code, detect fraud, automate workflows, and make complex decisions faster than ever before. But as AI adoption increases, so do the risks, many of which traditional security tools were not designed to address. Cybersecurity leaders are starting to see that AI security is not just another layer of defense. It is becoming essential to building trust, ensuring resilience, and maintaining business continuity. Earlier this year, after many conversations with CISOs and CIOs, I saw a clear need to bring more attention to this topic. That led to my report on AI Security, which explores how AI-specific vulnerabilities differ from traditional cybersecurity risks and why securing AI systems calls for a more intentional approach. Why AI Changes the Security Landscape AI systems do not behave like traditional software. They learn from data instead of following pre-defined logic. This makes them powerful, but also vulnerable. For example, an AI model can: Misinterpret input in ways that humans cannot easily detect Be tricked into producing harmful or unintended responses through crafted prompts Leak sensitive training data in its outputs Take actions that go against business policies or legal requirements These are not coding flaws. They are risks that originate from how AI systems process information and act on it. These risks become more serious with agentic AI. These systems act on behalf of humans, interact with other software, and sometimes with other AI agents. They can make decisions, initiate actions, and change configurations. If one is compromised, the consequences can spread quickly. A key challenge is that many organizations still rely on traditional defenses to secure AI systems. While those tools remain necessary, they are no longer enough. AI introduces new risks across every layer of the stack, including data, networks, endpoints, applications, and cloud infrastructure. As I explained in my report, the security focus must shift from defending the perimeter to governing the behavior of AI systems, the data they use, and the decisions they make. The Shift Toward AI-Aware Cyber Resilience Cyber resilience is the ability to withstand, adapt to, and recover from attacks. Meeting that standard today requires understanding how AI is developed, deployed, and used by employees, customers, and partners. To get there, organizations must answer questions such as: Where is our sensitive data going, and is it being used safely to train models? What non-human identities, such as AI agents, are accessing systems and data? Can we detect when an AI system is being misused or manipulated? Are we in compliance with new AI regulations and data usage rules? Letâs look at how Microsoft has evolved its mature security portfolio to help protect AI workloads and support this shift toward resilience. Microsoftâs Approach to Secure AI Microsoft has taken a holistic and integrated approach to AI security. Rather than creating entirely new tools, it is extending existing products already used by millions to support AI workloads. These features span identity, data, endpoint, and cloud protection. 1. Microsoft Defender: Treating AI Workloads as Endpoints AI models and applications are emerging as a new class of infrastructure that needs visibility and protection. Defender for Cloud secures AI workloads across Azure and other cloud platforms such as AWS and GCP by monitoring model deployments and detecting vulnerabilities. Defender for Cloud Apps extends protection to AI-enabled apps running at the edge Defender for APIs supports AI systems that use APIs, which are often exposed to risks such as prompt injection or model manipulation Additionally, Microsoft has launched tools to support AI red-teaming, content safety, and continuous evaluation capabilities to ensure agents operate safely and as intended. This allows teams identify and remediate risks such as jailbreaks or prompt injection before models are deployed. 2. Microsoft Entra: Managing Non-Human Identities As organizations roll out more AI agents and copilots, non-human identities are becoming more common. These digital identities need strong oversight. Microsoft Entra helps create and manage identities for AI agents Conditional Access ensures AI agents only access the resources they need, based on real-time signals and context Privileged Identity Management manages, controls, and monitors AI agents access to important resources within an organization 3. Microsoft Purview: Securing Data Used in AI Purview plays an important role in securing both the data that powers AI apps and agents, and the data they generate through interactions. Data discovery and classification helps label sensitive information and track its use Data Loss Prevention policies help prevent leaks or misuse of data in tools such as Copilot or agents built in Azure AI Foundry Insider Risk Management alerts security teams when employees feed sensitive data into AI systems without approval Purview also helps organizations meet transparency and compliance requirements, extending the same policies they already use today to AI workloads, without requiring separate configurations, as regulations like the EU AI Act take effect. Here's a video that explains the above Microsoft security products: Securing AI Is Now a Strategic Priority AI is evolving quickly, and the risks are evolving with it. Traditional tools still matter, but they were not built for systems that learn, adapt, and act independently. They also werenât designed for the pace and development approaches AI requires, where securing from the first line of code is critical to staying protected at scale. Microsoft is adapting its security portfolio to meet this shift. By strengthening identity, data, and endpoint protections, it is helping customers build a more resilient foundation. Whether you are launching your first AI-powered tool or managing dozens of agents across your organization, the priority is clear. Secure your AI systems before they become a point of weakness. You can read more in my AI Security report and learn how Microsoft is helping organizations secure AI supporting these efforts across its security portfolio.Hacking Made Easy, Patching Made Optional: A Modern Cyber Tragedy
In todayâs cyber threat landscape, the tools and techniques required to compromise enterprise environments are no longer confined to highly skilled adversaries or state-sponsored actors. While artificial intelligence is increasingly being used to enhance the sophistication of attacks, the majority of breaches still rely on simple, publicly accessible tools and well-established social engineering tactics. Another major issue is the persistent failure of enterprises to patch common vulnerabilities in a timely mannerâdespite the availability of fixes and public warnings. This negligence continues to be a key enabler of large-scale breaches, as demonstrated in several recent incidents. The Rise of AI-Enhanced Attacks Attackers are now leveraging AI to increase the credibility and effectiveness of their campaigns. One notable example is the use of deepfake technologyâsynthetic media generated using AIâto impersonate individuals in video or voice calls. North Korean threat actors, for instance, have been observed using deepfake videos and AI-generated personas to conduct fraudulent job interviews with HR departments at Western technology companies. These scams are designed to gain insider access to corporate systems or to exfiltrate sensitive intellectual property under the guise of legitimate employment. Social Engineering: Still the Most Effective Entry Point And yet, many recent breaches have begun with classic social engineering techniques. In the cases of Coinbase and Marks & Spencer, attackers impersonated employees through phishing or fraudulent communications. Once they had gathered sufficient personal information, they contacted support desks or mobile carriers, convincingly posing as the victims to request password resets or SIM swaps. This impersonation enabled attackers to bypass authentication controls and gain initial access to sensitive systems, which they then leveraged to escalate privileges and move laterally within the network. Threat groups such as Scattered Spider have demonstrated mastery of these techniques, often combining phishing with SIM swap attacks and MFA bypass to infiltrate telecom and cloud infrastructure. Similarly, Solt Thypoon (formerly DEV-0343), linked to North Korean operations, has used AI-generated personas and deepfake content to conduct fraudulent job interviewsâgaining insider access under the guise of legitimate employment. These examples underscore the evolving sophistication of social engineering and the need for robust identity verification protocols. Built for Defense, Used for Breach Despite the emergence of AI-driven threats, many of the most successful attacks continue to rely on simple, freely available tools that require minimal technical expertise. These tools are widely used by security professionals for legitimate purposes such as penetration testing, red teaming, and vulnerability assessments. However, they are also routinely abused by attackers to compromise systems Case studies for tools like Nmap, Metasploit, Mimikatz, BloodHound, Cobalt Strike, etc. The dual-use nature of these tools underscores the importance of not only detecting their presence but also understanding the context in which they are being used. From CVE to Compromise While social engineering remains a common entry point, many breaches are ultimately enabled by known vulnerabilities that remain unpatched for extended periods. For example, the MOVEit Transfer vulnerability (CVE-2023-34362) was exploited by the Cl0p ransomware group to compromise hundreds of organizations, despite a patch being available. Similarly, the OpenMetadata vulnerability (CVE-2024-28255, CVE-2024-28847) allowed attackers to gain access to Kubernetes workloads and leverage them for cryptomining activity days after a fix had been issued. Advanced persistent threat groups such as APT29 (also known as Cozy Bear) have historically exploited unpatched systems to maintain long-term access and conduct stealthy operations. Their use of credential harvesting tools like Mimikatz and lateral movement frameworks such as Cobalt Strike highlights the critical importance of timely patch managementânot just for ransomware defense, but also for countering nation-state actors. Recommendations To reduce the risk of enterprise breaches stemming from tool misuse, social engineering, and unpatched vulnerabilities, organizations should adopt the following practices: 1. Patch Promptly and Systematically Ensure that software updates and security patches are applied in a timely and consistent manner. This involves automating patch management processes to reduce human error and delay, while prioritizing vulnerabilities based on their exploitability and exposure. Microsoft Intune can be used to enforce update policies across devices, while Windows Autopatch simplifies the deployment of updates for Windows and Microsoft 365 applications. To identify and rank vulnerabilities, Microsoft Defender Vulnerability Management offers risk-based insights that help focus remediation efforts where they matter most. 2. Implement Multi-Factor Authentication (MFA) To mitigate credential-based attacks, MFA should be enforced across all user accounts. Conditional access policies should be configured to adapt authentication requirements based on contextual risk factors such as user behavior, device health, and location. Microsoft Entra Conditional Access allows for dynamic policy enforcement, while Microsoft Entra ID Protection identifies and responds to risky sign-ins. Organizations should also adopt phishing-resistant MFA methods, including FIDO2 security keys and certificate-based authentication, to further reduce exposure. 3. Identity Protection Access Reviews and Least Privilege Enforcement Conducting regular access reviews ensures that users retain only the permissions necessary for their roles. Applying least privilege principles and adopting Microsoft Zero Trust Architecture limits the potential for lateral movement in the event of a compromise. Microsoft Entra Access Reviews automates these processes, while Privileged Identity Management (PIM) provides just-in-time access and approval workflows for elevated roles. Just-in-Time Access and Risk-Based Controls Standing privileges should be minimized to reduce the attack surface. Risk-based conditional access policies can block high-risk sign-ins and enforce additional verification steps. Microsoft Entra ID Protection identifies risky behaviors and applies automated controls, while Conditional Access ensures access decisions are based on real-time risk assessments to block or challenge high-risk authentication attempts. Password Hygiene and Secure Authentication Promoting strong password practices and transitioning to passwordless authentication enhances security and user experience. Microsoft Authenticator supports multi-factor and passwordless sign-ins, while Windows Hello for Business enables biometric authentication using secure hardware-backed credentials. 4. Deploy SIEM and XDR for Detection and Response A robust detection and response capability is vital for identifying and mitigating threats across endpoints, identities, and cloud environments. Microsoft Sentinel serves as a cloud-native SIEM that aggregates and analyses security data, while Microsoft Defender XDR integrates signals from multiple sources to provide a unified view of threats and automate response actions. 5. Map and Harden Attack Paths Organizations should regularly assess their environments for attack paths such as privilege escalation and lateral movement. Tools like Microsoft Defender for Identity help uncover Lateral Movement Paths, while Microsoft Identity Threat Detection and Response (ITDR) integrates identity signals with threat intelligence to automate response. These capabilities are accessible via the Microsoft Defender portal, which includes an attack path analysis feature for prioritizing multicloud risks. 6. Stay Current with Threat Actor TTPs Monitor the evolving tactics, techniques, and procedures (TTPs) employed by sophisticated threat actors. Understanding these behaviours enables organizations to anticipate attacks and strengthen defenses proactively. Microsoft Defender Threat Intelligence provides detailed profiles of threat actors and maps their activities to the MITRE ATT&CK framework. Complementing this, Microsoft Sentinel allows security teams to hunt for these TTPs across enterprise telemetry and correlate signals to detect emerging threats. 7. Build Organizational Awareness Organizations should train staff to identify phishing, impersonation, and deepfake threats. Simulated attacks help improve response readiness and reduce human error. Use Attack Simulation Training, in Microsoft Defender for Office 365 to run realistic phishing scenarios and assess user vulnerability. Additionally, educate users about consent phishing, where attackers trick individuals into granting access to malicious apps. Conclusion The democratization of offensive security tooling, combined with the persistent failure to patch known vulnerabilities, has significantly lowered the barrier to entry for cyber attackers. Organizations must recognize that the tools used against them are often the same ones available to their own security teams. The key to resilience lies not in avoiding these tools, but in mastering themâusing them to simulate attacks, identify weaknesses, and build a proactive defense. Cybersecurity is no longer a matter of if, but when. The question is: will you detect the attacker before they achieve their objective? Will you be able to stop them before reaching your most sensitive data? Additional read: Gartner Predicts 30% of Enterprises Will Consider Identity Verification and Authentication Solutions Unreliable in Isolation Due to AI-Generated Deepfakes by 2026 Cyber security breaches survey 2025 - GOV.UK Jasper Sleet: North Korean remote IT workersâ evolving tactics to infiltrate organizations | Microsoft Security Blog MOVEit Transfer vulnerability Solt Thypoon Scattered Spider SIM swaps Attackers exploiting new critical OpenMetadata vulnerabilities on Kubernetes clusters | Microsoft Security Blog Microsoft Defender Vulnerability Management - Microsoft Defender Vulnerability Management | Microsoft Learn Zero Trust Architecture | NIST tactics, techniques, and procedures (TTP) - Glossary | CSRC https://learn.microsoft.com/en-us/security/zero-trust/deploy/overviewStep by Step: 2-Tier PKI Lab
Purpose of this blog Public Key Infrastructure (PKI) is the backbone of secure digital identity management, enabling encryption, digital signatures, and certificate-based authentication. However, neither setting up a PKI nor management of certificates is something most IT pros do on a regular basis and given the complexity and vastness of the subject it only makes sense to revisit the topic from time to time. What I have found works best for me is to just set up a lab and get my hands dirty with the topic that I want to revisit. One such topic that I keep coming back to is PKI - be it for creating certificate templates, enrolling clients, or flat out creating a new PKI itself. But every time I start deploying a lab or start planning a PKI setup, I end up spending too much time sifting through the documentations and trying to figure out why my issuing certificate authority won't come online! To make my life easier I decided to create a cheatsheet to deploy a simple but secure 2-tier PKI lab based on industry best practices that I thought would be beneficial for others like me, so I decided to polish it and make it into a blog. This blog walks through deploying a two-tier PKI hierarchy using Active Directory Certificate Services (AD CS) on Windows Server: an offline Root Certification Authority (Root CA) and an online Issuing Certification Authority (Issuing CA). Weâll cover step-by-step deployment and best practices for securing the root CA, conducting key ceremonies, and maintaining Certificate Revocation Lists (CRLs). Overview: Two-Tier PKI Architecture and Components In a two-tier PKI, the Root CA sits at the top of the trust hierarchy and issues a certificate only to the subordinate Issuing CA. The Root CA is kept offline (disconnected from networks) to protect its private key and is typically a standalone CA (not domain-joined). The Issuing CA (sometimes called a subordinate or intermediate CA) is kept online to issue certificates to end-entities (users, computers, services) and is usually an enterprise CA integrated with Active Directory for automation and certificate template support. Key components: Offline Root CA: A standalone CA, often on a workgroup server, powered on only when necessary (initial setup, subordinate CA certificate signing, or periodic CRL publishing). By staying offline, it is insulated from network threats. Its self-signed certificate serves as the trust anchor for the entire PKI. The Root CAâs private key must be rigorously protected (ideally by a Hardware Security Module) because if the root is compromised, all certificates in the hierarchy are compromised. Online Issuing CA: An enterprise subordinate CA (domain-joined) that handles day-to-day certificate issuance for the organization. It trusts the Root CA (via the rootâs certificate) and is the one actually responding to certificate requests. Being online, it must also be secured, but its key is kept online for operations. Typically, the Issuing CA publishes certificates and CRLs to Active Directory and/or HTTP locations for clients to download. The following diagram shows the simplified view of this implementations: The table below summarizes the roles and differences: Aspect Offline Root CA Online Issuing CA Role Standalone Root CA (workgroup) Enterprise Subordinate CA (domain member) Network Connectivity Kept offline (powered off or disconnected when not issuing) Online (running continuously to serve requests) Usage Signs only one certificate (the subordinate CAâs cert) and CRLs Issues end-entity certificates (users, computers, services) Active Directory Not a member of AD domain; doesnât use templates or auto-enrollment Integrated with AD DS; uses certificate templates for streamlined issuance Security Extremely high: physically secured, limited access, often protected by HSM Very High: server hardened, but accessible on network; HSM recommended for private key CRL Publication Manual. Admin must periodically connect, generate, and distribute CRL. Delta CRLs usually disabled. Automatic. Publishes CRLs to configured CDP locations (AD DS, HTTP) at scheduled intervals. Validity Period Longer (e.g. 5-10+ years for the CA certificate) to reduce frequency of renewal. Shorter (e.g. 2 years) to align with organizational policy; renewed under the root when needed. In this lab setup, we will create a Contoso Root CA (offline) and a Contoso Issuing CA (online) as an example. This mirrors real-world best practices which is to "deploy a standalone offline root CA and an online enterprise subordinate CAâ. Deploying the Offline Root CA Setting up the offline Root CA involves preparing a dedicated server, installing AD CS, configuring it as a root CA, and then securing it. Weâll also configure certificate CDP/AIA (CRL Distribution Point and Authority Information Access) locations so that issued certificates will point clients to the correct locations to fetch the CAâs certificate and revocation list. Step 1: Prepare the Root CA Server (Offline) Provision an isolated server: Install a Windows Server OS (e.g., Windows Server 2022) on the machine designated to be the Root CA. Preferably on a portable enterprise grade physical server that can be stored in a safe. Do not join this server to any domain â it should function in a Workgroup to remain independent of your AD forest. System configuration: Give the server a descriptive name (e.g., ROOTCA) and assign a static IP (even though it will be offline, a static IP helps when connecting it temporarily for management). Install the latest updates and security patches while itâs still able to go online. Lock down network access: Once setup is complete, disable or unplug network connections. If the server must remain powered on for any reason, ensure all unnecessary services/ports are disabled to minimize exposure. In practice, you will keep this server shut down or physically disconnected except when performing CA maintenance. Step 2: Install the AD CS Role on the Root CA Add the Certification Authority role: On the Root CA server, open Server Manager and add the Active Directory Certificate Services role. During the wizard, select the Certification Authority role service (no need for web enrollment or others on the root). Proceed through the wizard and complete the installation. You can also install the CA role and management tools via PowerShell: Install-WindowsFeature AD-Certificate -IncludeManagementToolsThis Role Services: Choose Certification Authority. Setup Type: Select Standalone CA (since this root CA is not domain-joined). CA Type: Select Root CA. Private Key: Choose âCreate a new private key.â Cryptography: If using an HSM, select the HSMâs Cryptographic Service Provider (CSP) here; otherwise use default. Choose a strong key length (e.g., 2048 or 4096 bits) and a secure hash algorithm (SHA-256 or higher). CA Name: Provide a common name for the CA (e.g., âContoso Root CAâ). This name will appear in issued certificates as the Issuer. Avoid using a machine DNS name here for security â pick a name without revealing the serverâs actual hostname. Validity Period: Set a long validity (e.g., 10 years) for the root CAâs self-signed certificate. A decade is common for enterprise roots, reducing how often you must touch the offline CA for renewal. Database: Specify locations for the CA database and logs (the defaults are fine for a lab). Review settings and complete the configuration. This process will generate the root CAâs key pair and self-signed certificate, establishing the Root CA.Post-install configuration: After the binary installation, click Configure Active Directory Certificate Services (a notification in Server Manager). In the configuration wizard: You can also perform this configuration via PowerShell in one line: Install-AdcsCertificationAuthority ` -CAType StandaloneRootCA ` -CryptoProviderName "YourHSMProvider" ` -HashAlgorithmName SHA256 -KeyLength 2048 ` -CACommonName "Contoso Root CA" ` -ValidityPeriod Years -ValidityPeriodUnits 10 This would set up a standalone Root CA named "Contoso Root CA" with a 2048-bit key on an HSM provider, valid for 10 years. Step 3: Integrate an HSM (Optional but Recommended) If your lab has a Hardware Security Module, use it to secure the Root CAâs keys. Using an HSM provides a dedicated, tamper-resistant storage for CA private keys and can further protect against key compromise. To integrate: Install the HSM vendorâs software and drivers on the Root CA server. Initialize the HSM and create a security world or partition as per the vendor instructions. Before or during the CA configuration (Step 2 above), ensure the HSM is ready to generate/store the key. When running the AD CS configuration, select the HSMâs CSP/KSP for the cryptographic provider so that the CAâs private key is generated on the HSM. Secure any HSM admin tokens or smartcards. For a root CA, you might employ M of N key splits â requiring multiple key custodians to collaborate to activate the HSM or key â as part of the key ceremony (discussed later). (If an HSM is not available, the root key will be stored on the serverâs disk. At minimum, protect it with a strong admin passphrase when prompted, and consider enabling the option to require administrator interaction (e.g., a password) whenever the key is accessed.) Step 4: Configure CA Extensions (CDP/AIA) Itâs critical to configure how the Root CA publishes its certificate and revocation list, since the root is offline and cannot use Active Directory auto-publishing. Open the Certification Authority management console (certsrv.msc), right-click the CA name > Properties, and go to the Extensions tab. We will set the CRL Distribution Points (CDP) and Authority Information Access (AIA) URLs: CRL Distribution Point (CDP): This is where certificates will tell clients to fetch the CRL for the Root CA. By default, a standalone CA might have a file:// path or no HTTP URL. Click Add and specify an HTTP URL that will be accessible to all network clients, such as: http://<IssuingCA_Server>/CertEnroll/<CaName><CRLNameSuffix><DeltaCRLAllowed>.crl For example, if your issuing CAâs server name is ISSUINGCA.contoso.local, the URL might be http://issuingca.contoso.local/CertEnroll/Contoso%20Root%20CA.crl This assumes the Issuing CA (or another web server) will host the Root CAâs CRL in the CertEnroll directory. Check the boxes for âInclude in the CDP extension of issued certificatesâ and âInclude in all CRLs. Clients use this to find Delta CRLsâ (you can uncheck the delta CRL publication on the root, as we wonât use delta CRLs on an offline root). Since the root CA wonât often revoke its single issued cert (the subordinate CA), delta CRLs arenât necessary. Note: If your Active Directory is in use and you want to publish the Root CAâs CRL to AD, you can also add an ldap:///CN=... path and check âPublish in Active Directoryâ. However, publishing to AD from an offline CA must be done manually using the following command when the root is temporarily connected. certutil -dspublish Many setups skip LDAP for offline roots and rely on HTTP distribution. Authority Information Access (AIA): This is where the Root CAâs certificate will be published for clients to download (to build certificate chains). Add an HTTP URL similarly, for example: http://<IssuingCA_Server>/CertEnroll/<ServerDNSName>_<CaName><CertificateName>.crt This would point to a copy of the Root CAâs certificate that will be hosted on the issuing CA web server. Check âInclude in the AIA extension of issued certificatesâ. This way, any certificate signed by the Root CA (like your subordinate CAâs cert) contains a URL where clients can fetch the Root CAâs cert if they donât already have it. After adding these, remove any default entries that are not applicable (e.g., LDAP if the root isnât going to publish to AD, or file paths that wonât be used by clients). These settings ensure that certificates issued by the Root CA (in practice, just the subordinate CAâs certificate) will carry the correct URLs for chain building and revocation checking. Step 5: Back Up the Root CA and Issue the Subordinate Certificate With the Root CA configured, we need to issue a certificate for the Issuing CA (subordinate). Weâll perform that in the next section from the Issuing CAâs side via a request file. Before taking the root offline, ensure you: Back up the CAâs private key and certificate: In the Certification Authority console, or via the CA Backup wizard, export the Root CAâs key pair and CA certificate. Protect this backup (store it offline in a secure location, e.g., on encrypted removable media in a safe). This backup is crucial for disaster recovery or if the Root CA needs to be migrated or restored. Save the Root CA Certificate: You will need the Root CAâs public certificate (*.crt) to distribute to other systems. Have it exported (Base-64 or DER format) for use on the Issuing CA and for clients. Initial CRL publication: Manually publish the first CRL so that it can be distributed. Open an elevated Command Prompt on the Root CA and run: certutil -crl This generates a new CRL file (in the CAâs configured CRL folder, typically %windir%\system32\CertSrv\CertEnroll). Take that CRL file and copy it to the designated distribution point (for example, to the CertEnroll directory on the Issuing CAâs web server, as per the HTTP URL configured). If using Active Directory for CRL distribution, you would also publish it to AD now (e.g., certutil -dspublish -f RootCA.crl on a domain-connected machine). In most lab setups, copying to an HTTP share is sufficient. With these tasks done, the Root CA is ready. At this point, disconnect or power off the Root CA and store it securely â it should remain offline except when itâs absolutely needed (like publishing a new CRL or renewing the subordinate CAâs certificate in the far future). Keeping the root CA offline maximizes its security by minimizing exposure to compromise. Best Practices for Securing the Root CA: The Root CA is the trust anchor, so apply stringent security practices: Physical security: Store the Root CA machine in a locked, secure location. If itâs a virtual machine, consider storing it on a disconnected hypervisor or a USB drive locked in a safe. Only authorized PKI team members should have access. An offline CA should be treated like crown jewels â offline CAs should be stored in secure locations. Minimal exposure: Keep the Root CA powered off and disconnected when not in use. It should not be left running or connected to any network. Routine operations (like issuing end-entity certs) should never involve the root. Admin access control: Limit administrative access on the Root CA server. Use dedicated accounts for PKI administration. Enable auditing on the CA for any changes or issuance events. No additional roles or software: Do not use the Root CA server for any other function (no web browsing, no email, etc.). Fewer installed components means fewer potential vulnerabilities. Protect the private key: Use an HSM if possible; if not, ensure the key is at least protected by a strong password and consider splitting knowledge of that password among multiple people (so no single person can activate the CA). Many organizations opt for an offline root key ceremony (see below) to generate and handle the root key with multiple witnesses and strict procedures. Keep system time and settings consistent: If the Root CA is powered off for long periods, ensure its clock is accurate whenever it is started (to avoid issuing a CRL or certificate with a wrong date). Donât change the server name or CA name after installation (doing so invalidates issued certs). Periodic health checks: Even though offline, plan to turn on the Root CA at a secure interval (e.g., semi-annually or annually) to perform tasks like CRL publishing and system updates. Make sure to apply OS security updates during these maintenance windows, as offline does not mean immune to vulnerabilities (especially if it ever connects to a network for CRL publication or uses removable media). Deploying the Online Issuing CA Next, set up the Issuing CA server which will actually issue certificates to end entities in the lab. This server will be domain-joined (if using AD integration) and will obtain its CA certificate from the Root CA we just configured. Step 1: Prepare the Issuing CA Server Provision the server: Install Windows Server on a new machine (or VM) that will be the Issuing CA. Join this server to the Active Directory domain (e.g., Contoso.local). Being an enterprise CA, it needs domain membership to publish templates and integrate with AD security groups. Rename the server to something descriptive like ISSUINGCA for clarity. Assign a static IP and ensure it can communicate on the network. IIS for web enrollment (optional): If you plan to use the Web Enrollment or Certificate Enrollment Web Services, ensure IIS is installed. (The AD CS installation wizard can add it if you include those role services.) For this guide, we will include the Web Enrollment role so that the CertEnroll directory is set up for hosting certificate and CRL files. Step 2: Install AD CS Role on Issuing CA On the Issuing CA server, add the Active Directory Certificate Services role via Server Manager or PowerShell. This time, select both Certification Authority and Certification Authority Web Enrollment role services (Web Enrollment will set up the HTTP endpoints for certificate requests if needed). For example, using PowerShell: Install-WindowsFeature AD-Certificate, ADCS-Web-Enrollment -IncludeManagementTools After installation, launch the AD CS configuration wizard: Role Services: Choose Certification Authority (and Web Enrollment if prompted). Setup Type: Select Enterprise CA (since this CA will integrate with AD DS). CA Type: Select Subordinate CA (this indicates it will get its cert from an existing root CA). Private Key: Choose âCreate a new private keyâ (weâll generate a new key pair for this CA). Cryptography: If using an HSM here as well, select the HSMâs CSP/KSP for the issuing CAâs key. Otherwise, choose a strong key length (2048+ bits, SHA256 or better for hash). CA Name: Provide a name (e.g., âContoso Issuing CAâ). This name will appear as the Issuer on certificates it issues. Certificate Request: The wizard will ask how you want to get the subordinate CAâs certificate. Choose âSave a certificate request to fileâ. Specify a path, e.g., C:\CertRequest\issuingCA.req. The wizard will generate a request file that we need to take to the Root CA for signing. (Since our Root CA is offline, this file transfer might be via secure USB or a network share when the root is temporarily online.) CA Database: Choose locations or accept defaults for the certificate DB and logs. Finish the configuration wizard, which will complete pending because the CA doesnât have a certificate yet. The AD CS service on this server wonât start until we import the issued cert from the root. Step 3: Integrate HSM on Issuing CA (Optional) If available, repeat the HSM setup on the Issuing CA: install HSM drivers, initialize it, and generate/secure the key for the subordinate CA on the HSM. Ensure you chose the HSM provider during the above configuration so that the issuing CAâs private key is stored in the HSM. Even though this CA is online, an HSM still greatly enhances security by protecting the private key from extraction. The issuing CAâs HSM may not require multiple custodians to activate (as it needs to run continuously), but should still be physically secured. Step 4: Obtain the Issuing CAâs Certificate from the Root CA Now we have a pending request (issuingCA.req) for the subordinate CA. To get its certificate: Transport the request to the Root CA: Copy the request file to the offline Root CA (via secure means â e.g., formatted new USB stick). Start up the Root CA (in a secure, offline setting) and open the Certification Authority console. Submit the request on Root CA: Right-click the Root CA in the CA console -> All Tasks -> Submit new request, and select the .req file. The request will appear in the Pending Requests on the root. Issue the subordinate CA certificate: Find the pending request (it will list the Issuing CAâs name). Right-click and choose All Tasks > Issue. The subordinate CAâs certificate is now issued by the Root CA. Export the issued certificate: Still on the Root CA, go to Issued Certificates, find the newly issued subordinate CA cert (you can identify it by the Request ID or by the name). Right-click it and choose Open or All Tasks > Export to get the certificate in a file form. If using the consoleâs built-in âExportâ it might only allow binary; alternatively use the certutil command: certutil -dup <RequestID> .\ContosoIssuingCA.cer or simply open and copy to file. Save the certificate as issuingCA.cer. Also make sure you have a copy of the Root CAâs certificate (if not already done). Publish Root CA cert and CRL as needed: Before leaving the Root CA, you may also want to ensure the Rootâs own certificate and latest CRL are available to the issuing CA and clients. If not already done in Step 5 of root deployment, export the Root CA cert (DER format) and copy the CRL file. You might use certutil -crl again if some time has passed since initial CRL. Now take the issuingCA.cer file (and root cert/CRL files) and move them back to the Issuing CA server. Step 5: Install the Issuing CAâs Certificate and Complete Configuration On the Issuing CA server (which is still waiting for its CA cert): Install the subordinate CA certificate: In Server Manager or the Certification Authority console on the Issuing CA, there should be an option to âInstall CA Certificateâ (if the AD CS configuration wizard is still open, it will prompt for the file; or otherwise, in the CA console right-click the CA name > All Tasks > Install CA Certificate). Provide the issuingCA.cer file obtained from the root. This will install the CAâs own certificate and start the CA service. The Issuing CA is now operational as a subordinate CA. Alternatively, use PowerShell: certutil -installcert C:\CertRequest\issuingCA.cer This installs the cert and associates it with the pending key. Trust the Root CA certificate: Because the Issuing CA is domain-joined, when you install the subordinate cert, it might automatically place the Root CAâs certificate in the Trusted Root Certification Authorities store on that server (and possibly publish it to AD). If not, you should manually install the Root CAâs certificate into the Trusted Root CA store on the Issuing CA machine (using the Certificates MMC or certutil -addstore -f Root rootCA.cer). This step prevents any âchain not trustedâ warnings on the Issuing CA and ensures it trusts its parent. In an enterprise environment, you would also distribute the root certificate to all client machines (e.g., via Group Policy) so that they trust the whole chain. Import Root CRL: Copy the Root CAâs CRL (*.crl file) to the Issuing CAâs CRL distribution point location (e.g., C:\Windows\System32\CertSrv\CertEnroll\ if thatâs the directory served by the web server). This matches the HTTP URL we configured on the root. Place the CRL file there and ensure it is accessible (the Issuing CAâs IIS might need to serve static .crl files; often, if Web Enrollment is installed, the CertEnroll folder is under C:\Inetpub\wwwroot\CertEnroll). At this point, the subordinate CA and any client hitting the HTTP URL can retrieve the rootâs CRL. The subordinate CA is now fully established. It holds a certificate issued by the Root CA (forming a complete chain of trust), and itâs ready to issue end-entity certificates. Step 6: Configure Issuing CA Settings and Start Services Start the Certificate Services: If the CA service (CertSvc) isnât started automatically, start or restart it. On PowerShell: Restart-Service certsvc The CA should show as running in the CA console with the name âContoso Issuing CAâ (or your chosen name). Configure Certificate Templates: Because this is an Enterprise CA, it can utilize certificate templates stored in Active Directory to simplify issuing common cert types (user auth, computer auth, web server SSL, etc.). By default, some templates (e.g., User, Computer) are available but not issued. In the Certification Authority console under Certificate Templates, you can choose which templates to issue (e.g., right-click > New > Certificate Template to Issue, then select templates like âUserâ or âComputerâ). This lab guide doesnât require specific templates but know that only Enterprise CAs can use templates. Templates define the policies and settings (cryptography, enrollment permissions, etc.) for issued certificates. Ensure you enable only the templates needed and configure their permissions appropriately (e.g., allow the appropriate groups to enroll). Set CRL publishing schedule: The Issuing CA will automatically publish its own CRL (for certificates it issues) at intervals. You can adjust the CRL and Delta CRL publication interval in the CAâs Properties > CRL Period. A common practice is a small base CRL period (e.g., 1 week or 2 weeks) for issuing CAs, because they may revoke user certs more frequently; and enable Delta CRLs (published daily) for timely revocation information. Make sure the CDP/AIA for the Issuing CA itself are properly configured too (the wizard usually sets LDAP and HTTP locations, but verify in the Extensions tab). In a lab, the default settings are fine. Web Enrollment (if installed): You can verify the web enrollment by browsing to http://<IssuingCA>/certsrv. This web UI allows browser-based certificate requests. Itâs a legacy interface mostly, but for testing it can be used if your clients arenât domain-joined or if you want a manual request method. In modern use, the Certificate Enrollment Web Service/Policy roles or auto-enrollment via Group Policy are preferred for remote and automated enrollment. At this stage, your PKI is operational: the Issuing CA trusts the offline Root CA and can issue certificates. The Root CA can be kept offline with confidence that the subordinate will handle all regular work. Validation and Testing of the PKI Itâs important to verify that the PKI is configured correctly: Check CA status: On the Issuing CA, open the Certification Authority console and ensure no errors. Verify that the Issuing CAâs certificate shows OK (no red X). On the Root CA (offline most of the time), you can use the Pkiview.msc snap-in (Microsoft PKI Health Tool) on a domain-connected machine to check the health of the PKI. This tool will show if the CDPs/AIA are reachable and if certificates are properly published. Trust chain on clients: On a domain-joined client PC, the Root CA certificate should be present in the Trusted Root Certification Authorities store (if the Issuing CA was installed as Enterprise CA, it likely published the root cert to AD automatically; you can also distribute it via Group Policy or manually). The Issuing CAâs certificate should appear in the Intermediate Certification Authorities store. This establishes the chain of trust. If not, import the root cert into the domainâs Group Policy for Trusted Roots. A quick test: on a client, run certutil -config "ISSUINGCA\\Contoso Issuing CA" -ping to see if it can contact the CA (or use the Certification Authority MMC targeting the issuing CA). Enroll a test certificate: Try to enroll for a certificate from the Issuing CA. For instance, from a domain-joined client, use the Certificates MMC (in Current User or Computer context) and initiate a certificate request for a User or Computer certificate (depending on templates issued). If auto-enrollment is configured via Group Policy for a template, you can simply log on a client and see if it automatically receives a certificate. Alternatively, use the web enrollment page or certreq command to submit a request. The request should be approved and a certificate issued by "Contoso Issuing CA". After enrollment, inspect the issued certificate: it should chain up to "Contoso Root CA" without errors. Ensure that the certificateâs CDP points to the URL we set (and try to browse that URL to see the CRL file), and that the AIA points to the root cert location. Revocation test (optional): To test CRL behavior, you could revoke a test certificate on the Issuing CA (using the CA console) and publish a new CRL. On the client, after updating the CRL, the revoked certificate should show as revoked. For the Root CA, since it shouldnât issue end-entity certs, you wouldnât normally revoke anything except potentially the subordinate CAâs certificate (which would be a drastic action in case of compromise). By issuing a test certificate and validating the chain and revocation, you confirm that your two-tier PKI lab is functioning correctly. Maintaining the PKI: CRLs, Key Ceremonies, and Security Procedures Deploying the PKI is only the beginning. Proper maintenance and operational procedures are crucial to ensure the PKI remains secure and reliable over time. Periodic CRL Updates for the Offline Root: The Root CAâs CRL has a defined validity period (set during configuration, often 6 or 12 months for offline roots). Before the CRL expires, the Root CA must be brought online (in a secure environment) to issue a new CRL. Itâs recommended to schedule CRL updates periodically (e.g., semi-annually) to prevent the CRL from expiring. An expired CRL can cause certificate chain validation to fail, potentially disrupting services. Typically, organizations set the offline root CRL validity so that publishing 1-2 times a year is sufficient. When the time comes: Start the Root CA (ensuring the system clock is correct). Run certutil -crl to issue a fresh CRL. Distribute the new CRL: copy it to the HTTP CDP location (overwrite the old file) and, if applicable, use certutil -dspublish -f RootCA.crl to update it in Active Directory. Verify that the new CRLâs next update date is extended appropriately (e.g., another 6 months out). Clients and the Issuing CA will automatically pick up the new CRL when checking for revocation. (The Issuing CA, if configured, might cache the root CRL and need a restart or certutil -setreg ca\CRLFlags +CRLF_REVCHECK_IGNORE_OFFLINE tweak if the root CRL expires unexpectedly. Keeping the schedule prevents such issues.) Issuing CA CRL and OCSP: The Issuing CAâs CRLs are published automatically as it is online. Ensure the IIS or file share hosting the CRL is accessible. Optionally, consider setting up an Online Responder (OCSP) for real-time status checking, especially if CRLs are large or you need faster revocation information. OCSP is another AD CS role service that can be configured on the issuing CA or another server to answer certificate status queries. This might be beyond a simple lab, but itâs worth mentioning for completeness. Key Ceremonies and Documentation: For production environments (and good practice even in labs), formalize the process of handling CA keys in a Key Ceremony. A key ceremony is a carefully controlled process for activities like generating the Root CAâs key pair, installing the CA, and signing subordinate certificates. It often involves multiple people to ensure no single person has unilateral control (principle of dual control) and to witness the process. Best practices for a Root CA key ceremony include: Advance Planning: Create a step-by-step script of the ceremony tasks. Include who will do what, what materials are needed (HSMs, installation media, backup devices, etc.), and the order of operations. Multiple trusted individuals present: Roles might include a Ceremony Administrator (leads the process), a Security Officer (responsible for HSM or key material handling), an Auditor (to observe and record), etc. This prevents any one person from manipulating the process and increases trust. Secure environment: Conduct the ceremony in a secure location (e.g., a locked room) free of recording devices or unauthorized personnel. Ensure the Root CA machine is isolated (no network), and ideally that BIOS/USB access controls are in place to prevent any malware. Generate keys with proper controls: If using an HSM, initialize and generate the key with the required number of key custodians each providing part of the activation material (e.g., smartcards or passphrases). Immediately back up the HSM partition or key to secure media (requiring the same custodians to restore). Sign subordinate CA certificate: As part of the ceremony, once the root key is ready, sign the subordinateâs request. This might also be a witnessed step. Document every action: Write down each command run, each key generated, serial numbers of devices used, and have all participants sign an acknowledgment of the outcomes. Also record the fingerprints of the generated Root CA certificate and any subordinate certificate to ensure they are exactly as expected. Secure storage: After the ceremony, store the Root CA machine (if itâs a laptop or VM) and HSM tokens in a tamper-evident bag or safe. The idea is to make it evident if someone tries to access the root outside of an authorized ceremony. While a full key ceremony might be overkill for a small lab, understanding these practices is important. Even in a lab, you can simulate some aspects (for learning), like documenting the procedure of taking the root online to sign the request and then locking it away. These practices greatly increase the trust in a production PKI by ensuring transparency and accountability for critical operations. Backup and Recovery Plans: Both CAsâ data should be regularly backed up: For the Root CA: since itâs rarely online, backup after any change. Typically, youâd back up the CAâs private key and certificate once (right after setup or any renewal). Store this securely offline (separate from the server itself). Also back up the CA database if it ever issues more than one cert (for root it might not issue many). For the Issuing CA: schedule automated backups of the CA database and private key. You can use the built-in certutil -backup or Windows Server Backup (which is aware of the AD CS database). Keep backups secure and test restoration procedures. Having a documented recovery procedure for the CA is crucial for continuity. Also consider backup of templates and any scripts. Maintain spare hardware or VMs in case you need to restore the CA on new hardware (especially for the root, having a procedure to restore on a new machine if the original is destroyed). Security maintenance: Apply OS updates to the CAs carefully. For the offline root, patch it offline if possible (offline servicing or connecting it briefly to a management network). For the issuing CA, treat it as a critical infrastructure server: limit its exposure (firewall it so only required services are reachable), monitor its event logs (enable auditing for Certificate Services events, which can log each issuance and revocation), and employ anti-malware tools with caution (whitelisting the CA processes to avoid interference). Also, periodically review the CAâs configuration and certificate templates to ensure they meet current security standards (for example, deprecate any weak cryptography or adjust validity periods if needed). By following these maintenance steps and best practices, your two-tier PKI will remain secure and trustworthy over time. Remember that PKI is not âset and forgetâ â it requires operational diligence, but the payoff is a robust trust infrastructure for your organizationâs security. Additional AD CS Features and References Active Directory Certificate Services provides more capabilities than covered in this basic lab. Depending on your needs, you might explore: Certificate Templates: We touched on templates; they are a powerful feature on Enterprise CAs to enforce standardized certificate settings. Administrators can create custom templates for various use cases (SSL, S/MIME email, code signing) and control enrollment permissions. Understanding template versions and permissions is key for enterprise deployments. (Refer to Microsoftâs documentation on Certificate template concepts in Windows Server for details on how templates work and can be customized.) Web Services for Enrollment: In scenarios with remote or non-domain clients, AD CS offers the Certificate Enrollment Web Service (CES) and Certificate Enrollment Policy Web Service (CEP) role services. These allow clients to fetch enrollment policy information and request certificates over HTTP or HTTPS, even when not connected directly to the domain. They work with the certificate templates to enable similar auto-enrollment experiences over the web. See Microsoftâs guides on the Certificate Enrollment Web Service overview and Certificate Enrollment Policy Web Service overview for when to use these. Network Device Enrollment Service (NDES): This AD CS role service implements the Simple Certificate Enrollment Protocol (SCEP) to allow devices like routers, switches, and mobile devices to obtain certificates from the CA without domain credentials. NDES acts as a proxy (Registration Authority) between devices and the CA, using one-time passwords for authentication. If you need to issue certificates to network equipment or MDM-managed mobile devices, NDES is the solution. Microsoft Docs provide a Network Device Enrollment Service(NDES) overview and even details on using a policy module with NDES for advanced scenarios (like customizing how requests are processed or integrating with custom policies). Online Responders (OCSP): As mentioned, an Online Responder can be configured to answer revocation status queries more efficiently than CRLs, especially useful if your CRLs grow large or you have high-volume certificate validation (VPNs, etc.). AD CSâs Online Responder role service can be installed on a member server and configured with the OCSP Response Signing certificate from your Issuing CA. Monitoring and Auditing: Windows Servers have options to audit CA events. Enabling auditing can log events such as certificate issuance, revocation, or changes to the CA configuration. These logs are important in enterprise PKI to track who did what (for compliance and security forensics). Also, tools like the PKI Health Tool (pkiview.msc) and PowerShell cmdlets (like Get-CertificationAuthority, Get-CertificationAuthorityCertificate) can help monitor the health and configuration of your CAs. Conclusion By following this guide, you have set up a secure two-tier PKI environment consisting of an offline Root CA and an online Issuing CA. This design, which uses an offline root, is considered a security best practice for enterprise PKI deployments because it reduces the risk of your root key being compromised. With the offline Root CA acting as a hardened trust anchor and the enterprise Issuing CA handling day-to-day certificate issuance, your lab PKI can issue certificates for various purposes (HTTPS, code signing, user authentication, etc.) in a way that models real-world deployments. As you expand this lab or move to production, always remember that PKI security is as much about process as technology. Applying strict controls to protect CA keys, keeping software up to date, and monitoring your PKIâs health are all part of the journey. For further reading and official guidance, refer to these Microsoft documentation resources: đ AD CS PKI Design Considerations: PKI design considerations using Active Directory Certificate Services in Windows Server helps in planning a PKI deployment (number of CAs, hierarchy depth, naming, key lengths, validity periods, etc.). This is useful to read when adapting this lab design to a production environment. It also covers configuring CDP/AIA and why offline roots usually donât need delta CRLs. đ AD CS Step-by-Step Guides: Microsoftâs Test Lab Guide Test Lab Guide: Deploying an AD CS Two-Tier PKI Hierarchy walk through a similar scenario.Enterprise-grade controls for AI apps and agents built with Azure AI Foundry and Copilot Studio
AI innovation is moving faster than ever, and more AI projects are moving beyond experimentation into deployment, to drive tangible business impact. As organizations accelerate innovation with custom AI applications and agents, new risks emerge across the software development lifecycle and AI stack related to data oversharing and leaks, new vulnerabilities and threats, and non-compliance with stringent regulatory requirements Through 2025, poisoning of software supply chains and infrastructure technology stacks will constitute more than 70% of malicious attacks against AI used in the enterprise 1 , highlighting potential threats that originate early in development. Today, the average cost of a data breach is $4.88 million, but when security issues are caught early in the development process, that number drops dramatically to just $80 per incident 2 . The message is very clear; security canât be an afterthought anymore. It must be a team sport across the organization, embedded from the start and throughout the development lifecycle. That's why developers and security teams should align on processes and tools that bring security into every stage of the AI development lifecycle and give security practitioners visibility into and the ability to mitigate risks. To address these growing challenges and help customers secure and govern their AI workloads across development and security teams, we are: Enabling Azure AI Foundry and Microsoft Copilot Studio to provide best-in-class foundational capabilities to secure and govern AI workloads Deeply integrating and embedding industry-leading capabilities from Microsoft Purview, Microsoft Defender, and Microsoft Entra into Azure AI Foundry and Microsoft Copilot Studio This week, 3,000 developers are gathering in Seattle for the annual Microsoft Build conference, with many more tuning in online, to learn practical skills for accelerating their AI apps and agents' innovation. To support their AI innovation journey, today we are excited to announce several new capabilities to help developers and organizations secure and govern AI apps and agents. New Azure AI Foundry foundational capabilities to secure and govern AI workloads Azure AI Foundry enhancements for AI security and safety With 70,000 customers, 100 trillion tokens processed this quarter, and 2 billion enterprise search queries each day, Azure AI Foundry has grown beyond just an application layerâit's now a comprehensive platform for building agents that can plan, take action, and continuously learn to drive real business outcomes. To help organizations build and deploy AI with confidence, weâre introducing new security and safety capabilities and insights for developers in Azure AI Foundry Introducing Spotlighting to detect and block prompt injection attacks in real time As AI systems increasingly rely on external data sources, a new class of threats has emerged. Indirect prompt injection attacks embed hidden instructions in documents, emails, and web content, tricking models into taking unauthorized actions without any direct user input. These attacks are difficult to detect and hard to prevent using traditional filters alone. To address this, Azure AI Content Safety is introducing Spotlighting, now available in preview. Spotlighting strengthens the Prompt Shields guardrail by improving its ability to detect and handle potential indirect prompt injections, where hidden adversarial instructions are embedded in external content. This new capability helps prevent the model from inadvertently acting on malicious prompts that are not directly visible to the user. Enable Spotlighting in Azure AI Content Safety to detect potential indirect prompt injection attacks New capabilities for task adherence evaluation and task adherence mitigation to ensure agents remain within scope As developers build more capable agents, organizations face growing pressure to help confirm those agents act within defined instructions and policy boundaries. Even small deviations can lead to tool misuse, broken workflows, or risks like unintended exposure of sensitive data. To solve this, Azure AI Foundry now includes task adherence for agents, now in preview and powered by two components: a real-time evaluation and a new control within Azure AI Content Safety. At the core is a real-time task adherence evaluation API, part of Azure AI Content Safety. This API assesses whether an agentâs behavior is aligned with its assigned task by analyzing the userâs query, system instructions, planned tool calls, and the agentâs response. The evaluation framework is built on Microsoftâs Agent Evaluators, which measure intent resolution, tool selection accuracy, completeness of response, and overall alignment to the original request. Developers can run this scoring logic locally using the Task Adherence Evaluator in the Azure AI Evaluation SDK, with a five-point scale that ranges from fully nonadherent to fully adherent. This gives teams a flexible and transparent way to inspect task-level behavior before it causes downstream issues. Task adherence is enforced through a new control in Azure AI Content Safety. If an agent goes off-task, the control can block tool use, pause execution, or trigger human review. In Azure AI Agent Service, it is available as an opt-in feature and runs automatically. Combined with real-time evaluation, this control helps to ensure that agents stay on task, follow instructions, and operate according to enterprise policies. Learn more about Prompt Shields in Azure AI Content Safety. Azure AI Foundry continuous evaluation and monitoring of agentic systems Maintaining high performance and compliance for AI agents after deployment is a growing challenge. Without ongoing oversight, issues like performance degradation, safety risks, or unintentional misuse of resources can slip through unnoticed. To address this, Azure AI Foundry introduces continuous evaluation and monitoring of agentic systems, now in preview, provides a single pane of glass dashboard to track key metrics such as performance, quality, safety, and resource usage in real time. Continuous evaluation runs quality and safety evaluations at a sampled rate of production usage with results made available in the Azure AI Foundry Monitoring dashboard and published to Application Insights. Developers can set alerts to detect drift or regressions and use Azure Monitor to gain full-stack visibility into their AI systems. For example, an organization using an AI agent to assist with customer-facing tasks can monitor groundedness and detect a decline in quality when the agent begins referencing irrelevant information, helping teams to act before it potentially negatively affects trust of users. Azure AI Foundry evaluation integrations with Microsoft Purview Compliance Manager, Credo AI, and Saidot for streamlined compliance AI regulations and standards introduce new requirements for transparency, documentation, and risk management for high-risk AI systems. As developers build AI applications and agents, they may need guidance and tools to help them evaluate risks based on these requirements and seamlessly share control and evaluation insights with compliance and risk teams. Today, we are announcing previews for Azure AI Foundry evaluation toolâs integration with a compliance management solution, Microsoft Purview Compliance Manager, and AI governance solutions, Credo AI and Saidot. These integrations help define risk parameters, run suggested compliance evaluations, and collect evidence for control testing and auditing. For example, for a developer whoâs building an AI agent in Europe may be required by their compliance team to complete a Data Protection Impact Assets (DPIA) and Algorithmic Impact Assessment (AIA) to meet internal risk management and technical documentation requirements aligned with emerging AI governance standards and best practices. Based on Purview Compliance Managerâs step-by-step guidance on controls implementation and testing, the compliance teams can evaluate risks such as potential bias, cybersecurity vulnerabilities, or lack of transparency in model behavior. Once the evaluation is conducted in Azure AI Foundry, the developer can obtain a report with documented risk, mitigation, and residual risk for compliance teams to upload to Compliance Manager to support audits and provide evidence to regulators or external stakeholders. Assess controls for Azure AI Foundry against emerging AI governance standards Learn more about Purview Compliance Manager. Learn more about the integration with Credo AI and Saidot in this blogpost. Leading Microsoft Entra, Defender and Purview value extended to Azure AI Foundry and Microsoft Copilot Studio Introducing Microsoft Entra Agent ID to help address agent sprawl and manage agent identity Organizations are rapidly building their own AI agents, leading to agent sprawl and a lack of centralized visibility and management. Security teams often struggle to keep up, unable to see which agents exist and whether they introduce security or compliance risks. Without proper oversight, agent sprawl increases the attack surface and makes it harder to manage these non-human identities. To address this challenge, weâre announcing the public preview of Microsoft Entra Agent ID, a new capability in the Microsoft Entra admin center that gives security admins visibility and control over AI agents built with Copilot Studio and Azure AI Foundry. With Microsoft Entra Agent ID, an agent created through Copilot Studio or Azure AI Foundry is automatically assigned an identity with no additional work required from the developers building them. This is the first step in a broader initiative to manage and protect non-human identities as organizations continue to build AI agents. : Security and identity admins can gain visibility into AI agents built in Copilot Studio and Azure AI Foundry in the Microsoft Entra Admin Center This new capability lays the foundation for more advanced capabilities coming soon to Microsoft Entra. We also know that no one can do it alone. Security has always been a team sport, and thatâs especially true as we enter this new era of protecting AI agents and their identities. Weâre energized by the momentum across the industry; two weeks ago, we announced support for the Agent-to-Agent (A2A) protocol and began collaborating with partners to shape the future of AI identity workflows. Today, weâre also excited to announce new partnerships with ServiceNow and Workday. As part of this, weâll integrate Microsoft Entra Agent ID with the ServiceNow AI Platform and the Workday Agent System of Record. This will allow for automated provisioning of identities for future digital employees. Learn more about Microsoft Entra Agent ID. Microsoft Defender security alerts and recommendations now available in Azure AI Foundry As more AI applications are deployed to production, organizations need to predict and prevent potential AI threats with natively integrated security controls backed by industry-leading Gen AI and threat intelligence for AI deployments. Developers need critical signals from security teams to effectively mitigate security risks related to their AI deployments. When these critical signals live in separate systems outside the developer experience, this can create delays in mitigation, leaving opportunities for AI apps and agents to become liabilities and exposing organizations to various threats and compliance violations. Now in preview, Microsoft Defender for Cloud integrates AI security posture management recommendations and runtime threat protection alerts directly into the Azure AI Foundry portal. These capabilities, previously announced as part of the broader Microsoft Defender for Cloud solution, are extended natively into Azure AI Foundry enabling developers to access alerts and recommendations without leaving their workflows. This provides real-time visibility into security risks, misconfigurations, and active threats targeting their AI applications on specific Azure AI projects, without needing to switch tools or wait on security teams to provide details. Security insights from Microsoft Defender for Cloud help developers identify and respond to threats like jailbreak attacks, sensitive data leakage, and misuse of system resources. These insights include: AI security posture recommendations that identify misconfigurations and vulnerabilities in AI services and provide best practices to reduce risk Threat protection alerts for AI services that notify developers of active threats and provide guidance for mitigation, across more than 15 detection types For example, a developer building an AI-powered agent can receive security recommendations suggesting the use of Azure Private Link for Azure AI Services resources. This reduces the risk of data leakage by handling the connectivity between consumers and services over the Azure backbone network. Each recommendation includes actionable remediation steps, helping teams identify and mitigate risks in both pre- and post-deployment phases. This helps to reduce risks without slowing down innovation. : Developers can view security alerts on the Risks + alerts page in Azure AI Foundry : Developers can view recommendations on the Guardrails + controls page in Azure AI Foundry This integration is currently in preview and will be generally available in June 2025 in Azure AI Foundry. Learn more about protecting AI services with Microsoft Defender for Cloud. Microsoft Purview capabilities extended to secure and govern data in custom-built AI apps and agents Data oversharing and leakage are among the top concerns for AI adoption, and central to many regulatory requirements. For organizations to confidently deploy AI applications and agents, both low code and pro code developers need a seamless way to embed security and compliance controls into their AI creations. Without simple, developer-friendly solutions, security gaps can quickly become blockers, delaying deployment and increasing risks as applications move from development to production. Today, Purview is extending its enterprise-grade data security and compliance capabilities, making it easier for both low code and pro code developers to integrate data security and compliance into their AI applications and agents, regardless of which tools or platforms they use. For example, with this update, Microsoft Purview DSPM for AI becomes the one place data security teams can see all the data risk insights across Microsoft Copilots, agents built in Agent Builder and Copilot Studio, and custom AI apps and agents built in Azure AI Foundry and other platforms. Admins can easily drill into security and compliance insights for specific AI apps or agents, making it easier to investigate and take action on potential risks. : Data security admins can now find data security and compliance insights across Microsoft Copilots, agents built with Agent Builder and Copilot Studio, and custom AI apps and agents in Microsoft Purview DSPM for AI In the following sections, we will provide more details about the updates to Purview capabilities in various AI workloads. 1. Microsoft Purview data security and compliance controlsâŻcan be extended to any custom-built AI application and agent via the new Purview SDK or the native Purview integration with Azure AI Foundry. The new capabilities make it easy and effortless for security teams to bring the same enterprise-grade data security compliance controls available today for Microsoft 365 Copilot to custom AI applications and agents, so organizations can: Discover data security risks, such as sensitive data in user prompts, and data compliance risks, such as harmful content, and get recommended actions to mitigate risks proactively in Microsoft Purview Data Security Posture Management (DSPM) for AI. Protect sensitive data against data leakage and insider risks with Microsoft Purview data security policies. Govern AI interactions with Audit, Data Lifecycle Management, eDiscovery, and Communication Compliance. Microsoft Purview SDK Microsoft Purview now offers Purview SDK, a set of REST APIs, documentation, and code samples, currently in preview, enabling developers to integrate Purview's data security and compliance capabilities into AI applications or agents within any integrated development environment (IDE). : By embedding Purview APIs into the IDE, developers help enable their AI apps to be secured and governed at runtime For example, a developer building an AI agent using an AWS model can use the Purview SDK to enable their AI app to automatically identify and block sensitive data entered by users before itâs exposed to the model, while also providing security teams with valuable signals that support compliance. With Purview SDK, startups, ISVs, and partners can now embed Purview industry-leading capabilities directly into their AI software solutions, making these solutions Purview aware and easier for their customers to secure and govern data in their AI solutions. For example, Infosys Vice President and Delivery Head of Cyber Security Practice, Ashish Adhvaryu indicates, âInfosys Cyber Next platform integrates Microsoft Purview to provide enhanced AI security capabilities. Our solution, the Cyber Next AI assistant (Cyber Advisor) for the SOC analyst, leverages Purview SDK to drive proactive threat mitigation with real-time monitoring and auditing capabilities. This integration provides holistic AI-assisted protection, enhancing cybersecurity posture." Microsoft partner EY (previously known as Ernst and Young) has also leveraged the new Purview SDK to embed Purview value into their GenAI initiatives. âWeâre not just building AI tools, we are creating Agentic solutions where trust, security, and transparency are present from the start, supported by the policy controls provided through the Purview SDK. Weâre seeing 25 to 30 percent time savings when we build secure features using the Purview SDK,â noted Sumanta Kar, Partner, Innovation and Emerging Tech at EY. Learn more about the Purview SDK. Microsoft Purview integrates natively with Azure AI Foundry Organizations are developing an average of 14 custom AI applications. The rapid pace of AI innovation may leave security teams unaware of potential data security and compliance risks within their environments. With the update announced today, Azure AI Foundry signals are now directly integrated with Purview Data Security Posture Management for AI, Insider Risk Management, and data compliance controls, minimizing the need for additional development work. For example, for AI applications and agents built with Azure AI Foundry models, data security teams can gain visibility into AI usage and data risks in Purview DSPM for AI, with no additional work from developers. Data security teams can also detect, investigate, and respond to both malicious and inadvertent user activities, such as a departing employee leveraging an AI agent to retrieve an anomalous amount of sensitive data, with Microsoft Purview Insider Risk Management (IRM) policies. Lastly, user prompts and AI responses in Azure AI apps and agents can now be ingested into Purview compliance tools as mentioned above. Learn more about Microsoft Purview for Azure AI Foundry. 2. Purview data protections extended to Copilot Studio agents grounded in Microsoft Dataverse data Coming to preview in June, Purview Information Protection extends auto-labeling and label inheritance coverage to Dataverse to help prevent oversharing and data leaks. Information Protection makes it easier for organizations to automatically classify and protect sensitive data at scale. A common challenge is that sensitive data often lands in Dataverse from various sources without consistent labeling or protection. The rapid adoption of agents built using Copilot Studio and grounding data from Dataverse increases the risk of data oversharing and leakage if data is not properly protected. With auto-labeling, data stored in Dataverse tables can be automatically labeled based on policies set in Microsoft Purview, regardless of its source. This reduces the need for manual labeling effort and protects sensitive information from the moment it enters Dataverse. With label inheritance, AI agent responses grounded in Dataverse data will automatically carry and honor the source dataâs sensitivity label. If a response pulls from multiple tables with different labels, the most restrictive label is applied to ensure consistent protection. For example, a financial advisor building an agent in Copilot Studio might connect multiple Dataverse tables, some labeled as âGeneralâ and others as âHighly Confidential.â If a response pulls from both, it will inherit the most restrictive label, in this case, "Highly Confidential,â to prevent unauthorized access and ensure appropriate protections are applied across both maker and users of the agent. Together, auto-labeling and label inheritance in Dataverse support a more secure, automated foundation for AI. : Sensitivity labels will be automatically applied to data in Dataverse : AI-generated responses will inherit and honor the source dataâs sensitivity labels Learn more about protecting Dataverse data with Microsoft Purview. 3. Purview DSPM for AI can now provide visibility into unauthenticated interactions with Copilot Studio agents As organizations increasingly use Microsoft Copilot Studio to deploy AI agents for frontline customer interactions, gaining visibility into unauthenticated user interactions and proactively mitigating risks becomes increasingly critical. Building on existing Purview and Copilot Studio integrations, weâve extended DSPM for AI and Audit in Copilot Studio to provide visibility into unauthenticated interactions, now in preview. This gives organizations a more comprehensive view of AI-related data security risks across authenticated and unauthenticated users. For example, a healthcare provider hosting an external, customer-facing agent assistant must be able to detect and respond to attempts by unauthenticated users to access sensitive patient data. With these new capabilities in DSPM for AI, data security teams can now identify these interactions, assess potential exposure of sensitive data, and act accordingly. Additionally, integration with Purview Audit provides teams with seamless access to information needed for audit requirements. : Gain visibility into all AI interactions, including those from unauthenticated users Learn more about Purview for Copilot Studio. 4. Purview Data Loss Prevention extended to more Microsoft 365 agent scenarios To help organizations prevent data oversharing through AI, at Ignite 2024, we announced that data security admins could prevent Microsoft 365 Copilot from using certain labeled documents as grounding data to generate summaries or responses. Now in preview, this control also extends to agents published in Microsoft 365 Copilot that are grounded by Microsoft 365 data, including pre-built Microsoft 365 agents, agents built with the Agent Builder, and agents built with Copilot Studio. This helps ensure that files containing sensitive content are used appropriately by AI agents. For example, confidential legal documents with highly specific language that could lead to improper guidance if summarized by an AI agent, or "Internal onlyâ documents that shouldnât be used to generate content that can be shared outside of the organization. : Extend data loss prevention (DLP) policies to Microsoft 365 Copilot agents to protect sensitive data Learn more about Data Loss Prevention for Microsoft 365 Copilot and agents. The data protection capabilities we are extending to agents in Agent Builder and Copilot Studio demonstrate our continued investment in strengthening the Security and Governance pillar of the Copilot Control System (CSS). CCS provides integrated controls to help IT and security teams secure, manage, and monitor Copilot and agents across Microsoft 365, spanning governance, management, and reporting. Learn more here. Explore additional resources As developers and security teams continue to secure AI throughout its lifecycle, itâs important to stay ahead of emerging risks and ensure protection. Microsoft Security provides a range of tools and resources to help you proactively secure AI models, apps, and agents from code to runtime. Explore the following resources to deepen your understanding and strengthen your approach to AI security: Learn more aboutâŻSecurity for AI solutionsâŻon our webpage⯠Learn more about Microsoft Purview SDK Get started with Azure AI Foundry Get started with Microsoft Entra Get started withâŻMicrosoft Purview⯠Get started withâŻMicrosoft Defender for Cloud⯠Get started with Microsoft 365 Copilot Get started withâŻCopilot Studio Sign up for a freeâŻMicrosoft 365 E5 Security TrialâŻandâŻMicrosoft Purview Trial⯠1 Predicts 2025: Navigating Imminent AI Turbulence for Cybersecurity, Jeremy D'Hoinne, Akif Khan, Manuel Acosta, Avivah Litan, Deepak Seth, Bart Willemsen, 10 February 2025 2 IBM. "Cost of a Data Breach 2024: Financial Industry." IBM Think, 13 Aug. 2024, https://www.ibm.com/think/insights/cost-of-a-data-breach-2024-financial-industry; Cser, Tamas. "The Cost of Finding Bugs Later in the SDLC." Functionize, 5 Jan. 2023, https://www.functionize.com/blog/the-cost-of-finding-bugs-later-in-the-sdlc
