Introducing Microsoft Security Store
Security is being reengineered for the AI era—moving 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, it’s 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. That’s 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 – Explore solutions and agents that are validated to integrate with Microsoft Security products, so you know they’ll work in your environment. Listings are organized to make it easy for security professionals to find what’s 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 — helping you quickly identify which solutions strengthen the areas that matter most to your security posture. Simplify purchasing – 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 – 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, you’ll find solutions covering every corner of cybersecurity—threat 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: Darktrace’s 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. Netskope’s 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 suite—including Microsoft Sentinel, Defender for Endpoint, Entra ID, Intune, and Security Copilot. Tanium streams current state telemetry into Microsoft’s 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 you’ve seen the types of solutions available in Security Store, let’s 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 agents—all 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 type—e.g., Defender, Sentinel, Entra, or Purview—and 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, you’ll also see the tasks they perform, the inputs they require, and the outputs they produce —so 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 account—no 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 needs—such as Security Copilot agents and Microsoft Sentinel data lake notebook jobs—so you don’t 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 “My Solutions” 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 Microsoft’s go-to-market incentives. For agent builders, it’s even simpler—we handle the entire commerce lifecycle, including billing and entitlement, so you don’t 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 Microsoft’s 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 AI‑powered tools in place so your team can focus on what matters most—defending against attackers with speed and confidence. Get started today by visiting Microsoft Security Store. If you’re 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.Cybersecurity: What Every Business Leader Needs to Know Now
As a Senior Cybersecurity Solution Architect, I’ve had the privilege of supporting organisations across the United Kingdom, Europe, and the United States—spanning sectors from finance to healthcare—in strengthening their security posture. One thing has become abundantly clear: cybersecurity is no longer the sole domain of IT departments. It is a strategic imperative that demands attention at board-level. This guide distils five key lessons drawn from real-world engagements to help executive leaders navigate today’s evolving threat landscape. These insights are not merely technical—they are cultural, operational, and strategic. If you’re a C-level executive, this article is a call to action: reassess how your organisation approaches cybersecurity before the next breach forces the conversation. In this article, I share five lessons (and quotes) from the field that help demystify how to enhance an organisation’s security posture. 1. Shift the Mindset “This has always been our approach, and we’ve never experienced a breach—so why should we change it?” A significant barrier to effective cybersecurity lies not in the sophistication of attackers, but in the predictability of human behaviour. If you’ve never experienced a breach, it’s tempting to maintain the status quo. However, as threats evolve, so too must your defences. Many cyber threats exploit well-known vulnerabilities that remain unpatched or rely on individuals performing routine tasks in familiar ways. Human nature tends to favour comfort and habit—traits that adversaries are adept at exploiting. Unlike many organisations, attackers readily adopt new technologies to advance their objectives, including AI-powered ransomware to execute increasingly sophisticated attacks. It is therefore imperative to recognise—without delay—that the advent of AI has dramatically reduced both the effort and time required to compromise systems. As the UK’s National Cyber Security Centre (NCSC) has stated: “AI lowers the barrier for novice cyber criminals, hackers-for-hire and hacktivists to carry out effective access and information gathering operations. This enhanced access will likely contribute to the global ransomware threat over the next two years.” Similarly, McKinsey & Company observed: “As AI quickly advances cyber threats, organisations seem to be taking a more cautious approach, balancing the benefits and risks of the new technology while trying to keep pace with attackers’ increasing sophistication.” To counter this evolving threat landscape, organisations must proactively leverage AI in their cyber defence strategies. Examples include: Identity and Access Management (IAM): AI enhances IAM by analysing real-time signals across systems to detect risky sign-ins and enforce adaptive access controls. Example: Microsoft Entra Agents for Conditional Access use AI to automate policy recommendations, streamlining access decisions with minimal manual input. Figure 1: Microsoft Entra Agents Threat Detection: AI accelerates detection, response, and recovery, helping organisations stay ahead of sophisticated threats. Example: Microsoft Defender for Cloud’s AI threat protection identifies prompt injection, data poisoning, and wallet attacks in real time. Incident Response: AI facilitates real-time decision-making, removing emotional bias and accelerating containment and recovery during security incidents. Example: Automatic Attack Disruption in Defender XDR, which can automatically contain a breach in progress. AI Security Posture Management AI workloads require continuous discovery, classification, and protection across multi-cloud environments. Example: Microsoft Defender for Cloud’s AI Security Posture Management secures custom AI apps across Azure, AWS, and GCP by detecting misconfigurations, vulnerabilities, and compliance gaps. Data Security Posture Management (DSPM) for AI AI interactions must be governed to ensure privacy, compliance, and insider risk mitigation. Example: Microsoft Purview DSPM for AI enables prompt auditing, applies Data Loss Prevention (DLP) policies to third-party AI apps like ChatGPT, and supports eDiscovery and lifecycle management. AI Threat Protection Organisations must address emerging AI threat vectors, including prompt injection, data leakage, and model exploitation. Example: Defender for AI (private preview) provides model-level security, including governance, anomaly detection, and lifecycle protection. Embracing innovation, automation, and intelligent defence is the secret sauce for cyber resilience in 2026. 2. Avoid One-Off Purchases – Invest with a Strategy “One MDE and one Sentinel to go, please.” Organisations often approach me intending to purchase a specific cybersecurity product—such as Microsoft Defender for Endpoint (MDE)—without a clearly articulated strategic rationale. My immediate question is: what is the broader objective behind this purchase? Is it driven by perceived value or popularity, or does it form part of a well-considered strategy to enhance endpoint security? Cybersecurity investments should be guided by a long-term, holistic strategy that spans multiple years and is periodically reassessed to reflect evolving threats. Strengthening endpoint protection must be integrated into a wider effort to improve the organisation’s overall security posture. This includes ensuring seamless integration between security solutions and avoiding operational silos. For example, deploying robust endpoint protection is of limited value if identities are not safeguarded with multi-factor authentication (MFA), or if storage accounts remain publicly accessible. A cohesive and forward-looking approach ensures that all components of the security architecture work in concert to mitigate risk effectively. Security Adoption Journey (Based on Zero Trust Framework) Assess – Evaluate the threat landscape, attack surface, vulnerabilities, compliance obligations, and critical assets. Align – Link security objectives to broader business goals to ensure strategic coherence. Architect – Design integrated and scalable security solutions, addressing gaps and eliminating operational silos. Activate – Implement tools with robust governance and automation to ensure consistent policy enforcement. Advance – Continuously monitor, test, and refine the security posture to stay ahead of evolving threats. Security tools are not fast food—they work best as part of a long-term plan, not a one-off order. This piecemeal approach runs counter to the modern Zero Trust security model, which assumes no single tool will prevent every breach and instead implements layered defences and integration. 3. Legacy Systems Are Holding You Back “Unfortunately, we are unable to implement phishing-resistant MFA, as our legacy app does not support integration with the required protocols.” A common challenge faced by many organisations I have worked with is the constraint on innovation within their cybersecurity architecture, primarily due to continued reliance on legacy applications—often driven by budgetary or operational necessity. These outdated systems frequently lack compatibility with modern security technologies and may introduce significant vulnerabilities. A notable example is the deployment of phishing-resistant multi-factor authentication (MFA)—such as FIDO2 security keys or certificate-based authentication—which requires advanced identity protocols and conditional access policies. These capabilities are available exclusively through Microsoft Entra ID. To address this issue effectively, it is essential to design security frameworks based on the organisation’s future aspirations rather than its current limitations. By adopting a forward-thinking approach, organisations can remain receptive to emerging technologies that align with their strategic cybersecurity objectives. Moreover, this perspective encourages investment in acquiring the necessary talent, thereby reducing reliance on extensive change management and staff retraining. I advise designing for where you want to be in the next 1–3 years—ideally cloud-first and identity-driven—essentially adopting a Zero Trust architecture, rather than being constrained by the limitations of legacy systems. 4. Collaboration Is a Security Imperative “This item will need to be added to the dev team's backlog. Given their current workload, they will do their best to implement GitHub Security in Q3, subject to capacity.” Cybersecurity threats may originate from various parts of an organisation, and one of the principal challenges many face is the fragmented nature of their defence strategies. To effectively mitigate such risks, cybersecurity must be embedded across all departments and functions, rather than being confined to a single team or role. In many organisations, the Chief Information Security Officer (CISO) operates in isolation from other C-level executives, which can limit their influence and complicate the implementation of security measures across the enterprise. Furthermore, some teams may lack the requisite expertise to execute essential security practices. For instance, an R&D lead responsible for managing developers may not possess the necessary skills in DevSecOps. To address these challenges, it is vital to ensure that the CISO is empowered to act without political or organisational barriers and is supported in implementing security measures across all business units. When the CISO has backing from the COO and HR, initiatives such as MFA rollout happen faster and more thoroughly. Cross-Functional Security Responsibilities Role Security Responsibilities R&D - Adopt DevSecOps practices - Identify vulnerabilities early - Manage code dependencies - Detect exposed secrets - Embed security in CI/CD pipelines CIO - Ensure visibility over organizational data - Implement Data Loss Prevention (DLP) - Safeguard sensitive data lifecycle - Ensure regulatory compliance CTO - Secure cloud environments (CSPM) - Manage SaaS security posture (SSPM) - Ensure hardware and endpoint protection COO - Protect digital assets - Secure domain management - Mitigate impersonation threats - Safeguard digital marketing channels and customer PII Support & Vendors - Deliver targeted training - Prevent social engineering attacks - Improve awareness of threat vectors HR - Train employees on AI-related threats - Manage insider risks - Secure employee data - Oversee cybersecurity across the employee lifecycle Empowering the CISO to act across departments helps organisations shift towards a security-first culture—embedding cybersecurity into every function, not just IT. 5. Compliance Is Not Security “We’re compliant, so we must be secure.” Many organisations mistakenly equate passing audits—such as ISO 27001 or SOC 2—with being secure. While compliance frameworks help establish a baseline for security, they are not a guarantee of protection. Determined attackers are not deterred by audit checklists; they exploit gaps, misconfigurations, and human error regardless of whether an organisation is certified. Moreover, due to the rapidly evolving nature of the cyber threat landscape, compliance frameworks often struggle to keep pace. By the time a standard is updated, attackers may already be exploiting new techniques that fall outside its scope. This lag creates a false sense of security for organisations that rely solely on regulatory checkboxes. Security is a continuous risk management process—not a one-time certification. It must be embedded into every layer of the enterprise and treated with the same urgency as other core business priorities. Compliance may be the starting line, not the finish line. Effective security goes beyond meeting regulatory requirements—it demands ongoing vigilance, adaptability, and a proactive mindset. Conclusion: Cybersecurity Is a Continuous Discipline Cybersecurity is not a destination—it is a continuous journey. By embracing strategic thinking, cross-functional collaboration, and emerging technologies, organisations can build resilience against today’s threats and tomorrow’s unknowns. The lessons shared throughout this article are not merely technical—they are cultural, operational, and strategic. If there is one key takeaway, it is this: avoid piecemeal fixes and instead adopt an integrated, future-ready security strategy. Due to the rapidly evolving nature of the cyber threat landscape, compliance frameworks alone cannot keep pace. Security must be treated as a dynamic, ongoing process—one that is embedded into every layer of the enterprise and reviewed regularly. Organisations should conduct periodic security posture reviews, leveraging tools such as Microsoft Secure Score or monthly risk reports, and stay informed about emerging threats through threat intelligence feeds and resources like the Microsoft Digital Defence Report, CISA (Cybersecurity and Infrastructure Security Agency), NCSC (UK National Cyber Security Centre), and other open-source intelligence platforms. As Ann Johnson aptly stated in her blog: “The most prepared organisations are those that keep asking the right questions and refining their approach together.” Cyber resilience demands ongoing investment—in people (through training and simulation drills), in processes (via playbooks and frameworks), and in technology (through updates and adoption of AI-driven defences). To reduce cybersecurity risk over time, resilient organisations must continually refine their approach and treat cybersecurity as an ongoing discipline. The time to act is now. Resources: https://www.ncsc.gov.uk/report/impact-of-ai-on-cyber-threat Defend against cyber threats with AI solutions from Microsoft - Microsoft Industry Blogs Generative AI Cybersecurity Solutions | Microsoft Security Require phishing-resistant multifactor authentication for Microsoft Entra administrator roles - Microsoft Entra ID | Microsoft Learn AI is the greatest threat—and defense—in cybersecurity today. Here’s why. Microsoft Entra Agents - Microsoft Entra | Microsoft Learn Smarter identity security starts with AI https://www.microsoft.com/en-us/security/blog/2025/06/12/cyber-resilience-begins-before-the-crisis/ https://www.microsoft.com/en-us/security/security-insider/threat-landscape/microsoft-digital-defense-report-2023-critical-cybersecurity-challenges https://www.microsoft.com/en-us/security/blog/2025/06/12/cyber-resilience-begins-before-the-crisis/Protect Copilot Studio AI Agents in Real Time with Microsoft Defender
Building AI agents has never been easier. Platforms like Microsoft Copilot Studio democratize the creation of AI agents and empower non-technical users to build intelligent agents that automate tasks and streamline business processes. These agents can answer questions, orchestrate complex tasks, and integrate with enterprise systems to boost productivity and creativity. Organizations are embracing a future where every team has AI agents working alongside them to increase efficiency and responsiveness. While AI agents unlock exciting new possibilities, they also introduce new security risks, most notably prompt injection attacks and a broader attack surface. Attackers are already testing ways to exploit them, such as abusing tool permissions, sneaking in malicious instructions, or tricking agents into sharing sensitive data. Prompt injection is especially concerning because it happens when an attacker feeds an agent malicious inputs to override the agent’s intended behavior. These risks aren’t due to flaws in Copilot Studio or any single platform — they’re a natural challenge that comes with democratizing AI development. As more people build and deploy agents, strong, real-time protection will be critical to keeping them secure. To help organizations safely unlock the potential of generative AI, Microsoft Defender has introduced innovations ranging from shadow AI discovery to out-of-the-box threat protection for both pre-built and custom-built generative AI apps. Today, we’re excited to take the next step in securing AI agents: Microsoft Defender now delivers real-time protection during agent runtime for AI agents built with Copilot Studio. It automatically stops agents from executing unsafe actions during runtime if suspicious behavior, such as a prompt injection attack attempt, is detected and notifies security teams with a detailed alert in the Defender portal. Defender’s AI agent runtime protection is part of our broader approach to securing Copilot Studio AI agents, as outlined in this blog post. Monitor AI agent runtime activities and detect prompt injection attacks Prompt injections are particularly dangerous because they exploit the very AI logic that powers these agents. A well-crafted input can trick an agent’s underlying language model into ignoring its safety guardrails or revealing secrets it was supposed to keep. With thousands of agents operating and interacting with external inputs, the risk of prompt injection is not theoretical - it’s a pressing concern that grows with every new agent deployed. The new real-time protection for AI agents built with Copilot Studio adds a safety net at the most critical point when the agent is running and acting. It helps safeguard AI agents during their operation, reducing the chance that malicious inputs can exploit them during runtime. Microsoft Defender now monitors agent tool invocation calls in real time. If a suspicious or high-risk action is detected, such as a known prompt injection pattern, the action is blocked before it is executed. The agent halts processing and informs the user that their request was blocked due to a security risk. For example, if an HR chatbot agent is tricked by a hidden prompt to send out confidential salary information, Defender will detect this unauthorized action and block it before any tool is invoked. Investigate suspicious agent behaviors in a unified experience See the full attack story, not just the alerts. Today’s attacks are targeted and multi‑stage. When Defender stops risky Copilot Studio AI agent activity at runtime, it raises an alert - and immediately begins correlating related signals across email, endpoints, identities, apps, and cloud into a single incident. That builds the complete attack narrative, often before anyone even opens the queue, so the SOC can see how they’re being targeted and what to do next. In the Microsoft Defender portal, incidents arrive enriched with timelines, entity relationships, relevant TTPs, and threat intelligence. Automated investigation and response gathers evidence, determines scope, and recommends or executes remediation to cut triage time. With Security Copilot embedded, analysts get instant incident summaries, guided response and hunting in natural language, and contextualize threat intelligence to accelerate deeper analysis and stay ahead of threats. If you use Microsoft Sentinel, the unified SOC experience brings Defender XDR incidents together with third‑party data. And with the new Microsoft Sentinel data lake (preview), teams can retain and analyze years of security data in one place, then hunt across that history using natural‑language prompts that Copilot translates to KQL. Because runtime protection already stops the unsafe actions of Copilot Studio AI agents, most single alerts don’t require immediate intervention. But the SOC still needs to know when they’re being persistently targeted. Defender automatically flags emerging patterns, such as sustained activity from the same actor or technique, and, when warranted and a supporting scenario like ransomware, can trigger automatic attack disruption to contain active threats while analysts' review. For Copilot Studio builders, Defender extends the same protection to AI agents: real‑time runtime protection helps prevent unsafe actions and prompt‑injection attempts, and detections are automatically correlated and investigated, without moving data outside a trusted, industry‑leading XDR. By embedding security into the runtime of AI agents, Microsoft Defender helps organizations embrace the full potential of Copilot Studio while maintaining the trust and control they need. Real-time protection during agent runtime is a foundational step in Microsoft’s journey to secure the future of AI agents, laying the foundation for more advanced capabilities coming soon to Microsoft Defender. It reflects our belief that innovation and security go hand in hand. With this new capability, organizations can feel more confident using AI agents, knowing that Microsoft Defender is monitoring in real time to keep their environments protected. Learn more: Read the blog to learn more about securing Copilot Studio agents Check the documentation to learn how Defender blocks agent tool invocation in real time Explore how to build and customize agents with Copilot Studio Agent BuilderFrom Traditional Security to AI-Driven Cyber Resilience: Microsoft’s 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? Let’s look at how Microsoft has evolved its mature security portfolio to help protect AI workloads and support this shift toward resilience. Microsoft’s 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 weren’t 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.Monthly news - August 2025
Microsoft Defender XDR Monthly news - August 2025 Edition This is our monthly "What's new" blog post, summarizing product updates and various new assets we released over the past month across our Defender products. In this edition, we are looking at all the goodness from July 2025. Defender for Cloud has it's own Monthly News post, have a look at their blog space. Microsoft Defender Microsoft Sentinel is moving to the Microsoft Defender portal to deliver a unified, AI-powered security operations experience. Many customers have already made the move. Learn how to plan your transition and take advantage of new capabilities in the this blog post. Introducing Microsoft Sentinel data lake. We announced a significant expansion of Microsoft Sentinel’s capabilities through the introduction of Sentinel data lake, now rolling out in public preview. Read this blog post for a look at some of Sentinel data lake’s core features. (Public Preview) The GraphApiAuditEvents table in advanced hunting is now available for preview. This table contains information about Microsoft Entra ID API requests made to Microsoft Graph API for resources in the tenant. (Public Preview) The DisruptionAndResponseEvents table, now available in advanced hunting, contains information about automatic attack disruption events in Microsoft Defender XDR. These events include both block and policy application events related to triggered attack disruption policies, and automatic actions that were taken across related workloads. Increase your visibility and awareness of active, complex attacks disrupted by attack disruption to understand the attacks' scope, context, impact, and actions taken. Introducing Summary Rules Templates: Streamlining Data Aggregation in Microsoft Sentinel. Microsoft Sentinel’s new Summary Rules Templates offer a structured and efficient approach to aggregating verbose data - enabling security teams to extract meaningful insights while optimizing resource usage. Automating Microsoft Sentinel: Playbook Fundamentals. This is the third entry of the blog series on automating Microsoft Sentinel. In this post, we’re going to start talking about Playbooks which can be used for automating just about anything. Customer success story: Kuwait Credit Bank boosts threat detection and response with Microsoft Defender. To modernize its security posture, the bank unified its security operations under Microsoft Defender XDR, integrating Microsoft Sentinel and Microsoft Purview. Microsoft Defender for Cloud Apps App Governance is now also available in Brazil, Sweden, Norway, Switzerland, South Africa, South Korea, Arab Emirates and Asia Pacific. For more details, see our documentation.. Updated network requirements for GCC and Gov customers. To support ongoing security enhancements and maintain service availability, Defender for Cloud Apps now requires updated firewall configurations for customers in GCC and Gov environments. To avoid service disruption, take action by August 25, 2025, and update your firewall configuration as described here. Discover and govern ChatGPT and other AI apps accessing Microsoft 365 with Defender for Cloud Apps. In this blog post, we’ll explore how Defender for Cloud Apps helps security teams gain enhanced visibility into the permissions granted to AI applications like ChatGPT as they access Microsoft 365 data. We’ll also share best practices for app governance to help security teams make informed decisions and take proactive steps to enable secure usage of AI apps accessing Microsoft 365 data. Microsoft Defender for Endpoint (General Availability) Microsoft Defender Core service is now generally available on Windows Server 2019 or later which helps with the stability and performance of Microsoft Defender Antivirus. Microsoft Defender for Identity Expanded coverage in ITDR deployment health widget. With this update, the widget also includes deployment status for ADFS, ADCS, and Entra Connect servers - making it easier to track and ensure full sensor coverage across all supported identity infrastructure. Time limit added to Recommended test mode. Recommended test mode configuration on the Adjust alert thresholds page, now requires you to set an expiration time (up to 60 days) when enabling it. The end time is shown next to the toggle while test mode is active. For customers who already had Recommended test mode enabled, a 60-day expiration was automatically applied. Identity scoping is now available in Governance environments. Organizations can now define and refine the scope of Defender for Identity monitoring and gain granular control over which entities and resources are included in security analysis. For more information, see Configure scoped access for Microsoft Defender for Identity. New security posture assessments for unmonitored identity servers. Defender for Identity has three new security posture assessments that detect when Microsoft Entra Connect, Active Directory Federation Services (ADFS), or Active Directory Certificate Services (ADCS) servers are present in your environment but aren't monitored. Learn more in our documentation. Microsoft Defender for Office 365 Protection against multi-modal attacks with Microsoft Defender. This blog post showcases how Microsoft Defender can detect and correlate certain hybrid, multi-modal attacks that span across email, Teams, identity, and endpoint vectors; and how these insights surface in the Microsoft Defender portal. Users can report external and intra-org Microsoft Teams messages from chats, standard and private channels, meeting conversations to Microsoft, the specified reporting mailbox, or both via user reported settings. Microsoft Security Blogs Frozen in transit: Secret Blizzard’s AiTM campaign against diplomats. Microsoft Threat Intelligence has uncovered a cyberespionage campaign by the Russian state actor we track as Secret Blizzard that has been ongoing since at least 2024, targeting embassies in Moscow using an adversary-in-the-middle (AiTM) position to deploy their custom ApolloShadow malware. Sploitlight: Analyzing a Spotlight-based macOS TCC vulnerability. Microsoft Threat Intelligence has discovered a macOS vulnerability, tracked as CVE-2025-31199, that could allow attackers to steal private data of files normally protected by Transparency, Consent, and Control (TCC), including the ability to extract and leak sensitive information cached by Apple Intelligence. Disrupting active exploitation of on-premises SharePoint vulnerabilities. Microsoft has observed two named Chinese nation-state actors, Linen Typhoon and Violet Typhoon, exploiting vulnerabilities targeting internet-facing SharePoint servers.
Discover risks in AI model providers and MCP servers with Microsoft Defender
AI model providers and Model Context Protocol (MCP) are being adopted at an unprecedented pace. As these new AI tools become deeply integrated into business operations and bring endless opportunities for productivity, security must not be ignored. MCP and AI model providers enable seamless communication between AI agents, tools, and models - but this convenience comes with significant security risks. MCP can expose sensitive information to unverified context providers, creating data leaks, malicious agent chaining, and supply chain attacks - all without consistent logging or enforcement. Microsoft Defender is expanding its capabilities to protect AI MCP use across the enterprise. Building on recent enhancements in Microsoft Defender for Cloud which now provides visibility into containers running MCP across AWS, GCP, and Azure, we're now adding support in Microsoft Defender for Cloud Apps to help security teams discover, manage, and protect not only generative AI apps, but also AI model providers and MCP servers. As AI tools spread, so does shadow AI - unauthorized or unmanaged use of AI tools that bypass IT and security controls. MCP servers and AI model providers explained MCP servers take productivity a step further by enabling AI to operate in real-time context. As intelligent intermediaries, MCP servers connect models to live enterprise data and applications - standardizing interactions and removing silos between tools, systems, and information. This unlocks the full potential of AI: not just generating insights, but acting autonomously, adapting to business conditions, and streamlining operations without any human in the loop. SaaS-based AI model providers are services that deliver sophisticated AI capabilities through simple APIs, allowing companies to integrate intelligence without massive infrastructure investments or specialized machine learning expertise. However, as productivity evolves, unauthorized or unmanaged use of AI tools that bypass IT and security controls evolve too. Software engineering teams can easily configure the AI model provider or MCP server to an unsanctioned one in their AI code assistant. These integrations can inadvertently expose sensitive information, violate compliance policies, or introduce threats like tool shadowing and prompt injections. As AI becomes deeply embedded across the enterprise, visibility and governance must keep pace to ensure security is never compromised. How Microsoft Defender secures the use of AI model providers and MCP servers Based on an extensive customer survey with large enterprises, we now understand the first step to securing AI use is gaining visibility into which of these services are in use across the organization. The cloud app catalog already provides a comprehensive list of over 35,000 discoverable cloud apps. It helps analyze traffic logs, gain visibility into cloud use, and assess the risk posture of these apps to manage security and compliance effectively. The catalog includes detailed risk parameters, such as data handling practices, authentication methods, and integration scopes. Starting today, the catalog has expanded to include AI model providers and MCP servers, enabling security teams to assess usage patterns and understand the risk posture of each. In addition to this expanded catalog, we aim to provide more security insights to customers, based on customer feedback on AI model providers and MCP servers, to help reduce the risks they introduce. Furthermore, if you're hosting your own MCP server Defender for Cloud, AI Security Posture Management can help you discover all MCP servers hosted across multi-cloud environments, identify misconfigurations and vulnerabilities in the AI application and agents using them, and prioritize remediation process based on attack path analysis. Microsoft Defender now helps you discover, monitor, and govern the use of AI model providers and MCP servers - giving you visibility, control, and protection against shadow AI risks with automated policies and real-time enforcement. Learn more How to use Microsoft Defender for Cloud Apps to stay safe in the Gen AI era Check out our website to learn more about Defender for Cloud Apps Not a customer, yet? Start a free trial today Visit our Cloud App Catalog documentation Learn more about AI Security Posture Management (AI-SPM)Monthly news - July 2025
Microsoft Defender XDR Monthly news - July 2025 Edition This is our monthly "What's new" blog post, summarizing product updates and various new assets we released over the past month across our Defender products. In this edition, we are looking at all the goodness from May 2025. Defender for Cloud has it's own Monthly News post, have a look at their blog space. Microsoft Defender (General Availability) In advanced hunting, Microsoft Defender portal users can now use the adx() operator to query tables stored in Azure Data Explorer. You no longer need to go to log analytics in Microsoft Sentinel to use this operator if you're already in Microsoft Defender. Learn more on our docs. Introducing TITAN powered recommendations in Security Copilot guided response. This blog post explains the power of Guided Response with Security Copilot and and the integration of Threat Intelligence Tracking via Adaptive Networks (TITAN). (General Availability) Case management now supports multiple tenants in Microsoft Defender experience. We’re excited to share that multi-tenant support is now generally available in our case management experience. This new capability empowers security teams to view and manage incidents across all their tenants from a single, unified interface—directly within the Microsoft Defender Multi-Tenant (MTO) portal. You can read this blog for more information. Microsoft Defender for Cloud Apps (General Availability) The Behaviors data type significantly enhances overall threat detection accuracy by reducing alerts on generic anomalies and surfacing alerts only when observed patterns align with real security scenarios. This data type is now generally available. Learn more on how to use Behaviors and new detections in this blog post. New Dynamic Threat Detection model. Defender for Cloud Apps new dynamic threat detection model continuously adapts to the ever-changing SaaS apps threat landscape. This approach ensures your organization remains protected with up-to-date detection logic without the need for manual policy updates or reconfiguration. Microsoft Defender for Endpoint (General Availability) Global exclusions on Linux are now generally available. We just published a new blog post, that discussed how you can manage global exclusion policies for Linux across both AV and EDR. (General Availability) Support for Alma Linux and Rocky Linux is now generally available for Linux. (General Availability) Behavior monitoring on macOS is now generally available. Read this blog post to learn more about it and how it improves the early detection and prevention of suspicious and malicious activities targeting macOS users. (Public Preview) Selective Isolation allows you to exclude specific devices, processes, IP addresses, or services from isolation actions. More details in this blog post "Maintain connectivity for essential services with selective network isolation" Microsoft Defender for Identity (Public Preview) Domain-based scoping for Active Directory is now available in public preview. This new capability enables SOC analysts to define and refine the scope of Defender for Identity monitoring, providing more granular control over which entities and resources are included in security analysis. Read this announcement blog for more details. (Public Preview) Defender for Identity is extending its identity protection to protect Okta identities, that’s in addition to the already robust protection for on-premises Active Directory and Entra ID identities. For more details, have a look at this announcement blog post. Microsoft Defender for Office 365 Introducing the Defender for Office 365 ICES Vendor Ecosystem - a unified framework that enables seamless integration with trusted third-party vendors. Learn more about this exciting announcement in this blog post. (General Availability) Auto-Remediation of malicious messages in Automated Investigation and Response is now generally available. Have a look at this detailed blog post on how it works. Mail bombing is now an available Detection technology value in Threat Explorer, the Email entity page, and the Email summary panel. Mail bombing is also an available DetectionMethods value in Advanced Hunting. For more information, see MC1096885. AI-powered Submissions Response introduces generative AI explanations for admin email submissions to Microsoft. For more information, see Submission result definitions. Microsoft Security Exposure Management (Public Preview) Enhanced External Attack Surface Management integration with Exposure Management. This new integration allows you to incorporate detailed external attack surface data from Defender External Attack Surface Management into Exposure Management. Learn more on our docs. Microsoft Security Blogs Unveiling RIFT: Enhancing Rust malware analysis through pattern matching As threat actors are adopting Rust for malware development, RIFT, an open-source tool, helps reverse engineers analyze Rust malware, solving challenges in the security industry. Jasper Sleet: North Korean remote IT workers’ evolving tactics to infiltrate organizations Since 2024, Microsoft Threat Intelligence has observed remote IT workers deployed by North Korea leveraging AI to improve the scale and sophistication of their operations, steal data, and generate revenue for the North Korean government. Threat Analytics (Access to the Defender Portal needed) Tool Profile: Qilin ransomware. Qilin (also called Agenda) is a ransomware as a service (RaaS) offering that was first observed in 2022. It has been used by multiple cybercriminal groups, including Pistachio Tempest, Octo Tempest, and most recently Moonstone Sleet. While the ransom attacks appear to be opportunistic rather than targeted, they have had notable impacts against healthcare and media companies. Activity Profile: Emerald Sleet using QR codes for credential harvesting. In May 2025, Microsoft Threat Intelligence observed the North Korean threat actor that Microsoft tracks as Emerald Sleet using QR (quick response) codes designed to lure recipients to credential-harvesting sites in phishing emails. Vulnerability profile: CVE-2025-34028 – Commvault Command Center Innovation Release. According to the National Institute of Standards and Technology (NIST), “the Commvault Command Center Innovation Release allows an unauthenticated actor to upload ZIP files that represent install packages that, when expanded by the target server, are vulnerable to path traversal vulnerability that can result in Remote Code Execution via malicious JSP. This issue affects Command Center Innovation Release: 11.38.0 to 11.38.20. The vulnerability is fixed in 11.38.20 with SP38-CU20-433 and SP38-CU20-436 and also fixed in 11.38.25 with SP38-CU25-434 and SP38-CU25-438.” Activity Profile: Forest Blizzard trojanizes Ukraine software to deliver new variant of Blipslide downloader. Since March, Microsoft Threat intelligence observed the Russian military intelligence threat actor Forest Blizzard infect devices in Ukraine with a new variant of BlipSlide malware, a downloader that the threat actor uses for command and control (C2). Actor Profile: Storm-2416. The threat actor that Microsoft tracks as Storm-2416 is a nation-state activity group based out of China. Storm-2416 is known to primarily target information technology (IT), government, and other business entities in Europe, Asia, Oceania, and South and North America. Activity Profile: Suspicious OAuth applications used to retrieve and send emails. In late February 2025, Microsoft discovered a set of malicious Open Authorization (OAuth) applications, including one that impersonated Outlook, that can retrieve and send emails. Actor Profile: Storm-0126. The threat actor that Microsoft tracks as Storm-0126 is a nation-state activity group based out of China. Storm-0126 is known to primarily target defense industry enterprises, public institutions, research institutes, and military-industrial organizations worldwide. Actor Profile: Storm-2001. Microsoft assesses with high confidence that the threat actor Microsoft tracks as Storm-2001 is a Russian state-sponsored actor. It is known to primarily target defense organizations in the North Atlantic Treaty Organization (NATO) alliance—specifically, member states that form NATO’s Enhanced Forward Presence (EFP) program, recent NATO members, and other related organizations that engage in NATO-related communications and planning. Activity profile: Storm-2561 distributes trojanized SonicWall NetExtender SilentRoute. In late May 2025, Storm-2561 began distributing malware that Microsoft detects as SilentRoute. The malware is a trojanized version of SonicWall’s SSL VPN NetExtender application that transmits the user’s VPN configuration data to a hardcoded IP address.Block Access to Unsanctioned Apps with Microsoft Defender ATP & Cloud App Security
Microsoft Cloud App Security and Microsoft Defender ATP teams have partnered together to build a Microsoft Shadow IT visibility and control solution. After Shadow IT Discovery for endpoint users was officially announced earlier this year, we are now ready to move forward to the next phase of this integration and announce the preview of the functionality to block access to unsanctioned apps by leveraging Microsoft Defender network protection capability is now publicly available.
