Secure your AI transformation with Microsoft Security
Microsoft Security is at the forefront of AI security to support our customers on their AI journey by being the first security solution provider to offer threat protection for AI workloads and providing comprehensive security to secure and govern AI usage and applications.Unlock Proactive Defense: Microsoft Security Exposure Management Now Generally Available
As the digital landscape grows increasingly interconnected, defenders face a critical challenge: the data and insights from various security tools are often siloed or, at best, loosely integrated. This fragmented approach makes it difficult to gain a holistic view of threats or assess their potential impact on critical assets. In a world where a single compromised asset can trigger a domino effect across connected resources, thinking in graphs has become essential for defenders. This approach breaks down silos, allowing them to visualize relationships between assets, vulnerabilities, and threats, ultimately enabling proactive risk management and strengthening their stance against attackers. Traditional vulnerability management is no longer sufficient. While patching every potential weakness might seem like a solution, it's neither practical nor effective. Instead, modern security strategies must focus on the exposures that are easiest for attackers to exploit, prioritizing vulnerabilities that present the greatest risk. This shift marks the evolution of vulnerability management into what we now call exposure management. Earlier this year, we launched Microsoft Security Exposure Management in public preview, introducing defenders to powerful foundational capabilities for holistic exposure management. Backed by extensive threat research and Microsoft’s vast visibility into security signals, these tools provide coverage for commonly observed attack techniques. Exposure Management includes Attack Surface Management, Attack Path Analysis, and Unified Exposure Insights— solutions that offer security teams unmatched visibility and insight into their risk landscape. Attack Surface Management offers a complete, continuous view of an organization’s attack surface, enabling teams to fully explore assets, uncover interdependencies, and monitor exposure across the entire digital estate. Central to this is the identification of critical assets, which are often prime targets for attackers. By highlighting these key assets, security teams can prioritize their efforts and better understand which areas require the most protection. By giving security teams a clear map of their exposure points, Attack Surface Management empowers a more informed and comprehensive defense strategy. Attack Path Analysis takes this a step further, guiding teams in visualizing and prioritizing high-risk attack paths across diverse environments, with a specific focus on critical assets. This capability allows for targeted, effective remediation of vulnerabilities that impact these key assets, helping to significantly reduce exposure and the likelihood of a breach by focusing on the most impactful pathways an attacker might exploit. Unified Exposure Insights gives decision-makers a clear view of an organization's threat exposure, helping security teams address key questions about their posture. Through Security Initiatives, teams focus on priority areas like cloud security and ransomware, supported by actionable metrics to track progress, prioritize risks, and align remediation with business goals for proactive risk management. Exposure Management translates vulnerabilities and exposures into more understandable language about risk and actionable initiatives related to our environment, which helps stakeholders and leadership grasp the impact more clearly. - Bjorn Pauwels Cyber Security Architect Atlas Copco Throughout the public preview, we collaborated closely with customers and industry experts, refining Microsoft Security Exposure Management based on real-world usage and feedback. This partnership revealed that the biggest challenges extended beyond deploying the right tools; they involved enhancing organizational maturity, evolving processes, and fostering a proactive security mindset. These insights drove strategic enhancements to features and user experience, ensuring the solution effectively supports organizations aiming to shift from reactive to proactive threat management. For example, several organizations created a 'RiskOps' role specifically to champion cross-domain threat exposure reduction, breaking down silos and unifying teams around common security goals. Security Operations (SecOps) teams now report significantly streamlined processes by leveraging asset criticality in incident prioritization, helping them address the most impactful threats faster than previously possible. Likewise, vulnerability management teams are using enhanced attack map and path analysis features to refine patching strategies, focusing more precisely on vulnerabilities most likely to lead to real risks. These examples underscore Exposure Management's ability to drive practical, measurable improvements across diverse teams, empowering them to stay ahead of evolving threats with a targeted, collaborative approach to risk management. Exposure Management enables organizations to zero in on their most critical exposures and act quickly. By breaking down silos and connecting security insights across the entire digital estate, organizations gain a holistic view of their risk posture. This comprehensive visibility is crucial for making faster, more informed decisions—reducing exposure before attackers can exploit it. We are excited to announce the general availability of Microsoft Security Exposure Management This release includes several new capabilities designed to help you build and enhance a Continuous Threat Exposure Management (CTEM) program, ensuring that you stay ahead of threats by continuously identifying, prioritizing, and mitigating risks across your digital landscape. Global rollout started 19 Nov, 2024 so keep an eye out for Exposure Management in your Defender portal, https://security.microsoft.com Cyber Asset Attack Surface Management To help you establish a comprehensive, single source of truth for your assets, we are expanding our signal collection beyond Microsoft solutions to include third-party integrations. The new Exposure connectors gallery offers a range of connectors to popular security vendors. Data collected through these connectors is normalized within our exposure graph, enhancing your device inventory, mapping relationships, and revealing new attack paths for comprehensive attack surface visibility. Additional insights like asset criticality, internet exposure and business application or operational affiliation are incorporated from the connected tools to enrich the context that Exposure Management can apply on the collected assets. This integrated data can be visualized through the Attack Map tool or explored using advanced hunting queries via KQL (Kusto Query Language). External data connectors to non-Microsoft security tools are currently in public preview, we are continuously working to add more connectors for leading market solutions, ensuring you have the broadest possible visibility across your security ecosystem. Discover more about data connectors in our documentation. Extended Attack Path Analysis Attack Path Analysis provides organizations with a crucial attacker’s-eye perspective, revealing how adversaries might exploit vulnerabilities and move laterally across both cloud and on-premise environments. By identifying and visualizing potential paths – from initial access points, such as internet-exposed devices, to critical assets – security teams gain valuable insight into the paths attackers could take, including hybrid attack paths that traverse cloud and on-prem infrastructure. Microsoft Security Exposure Management addresses the challenge of fragmented visibility by offering defenders an integrated view of their most critical assets and the likely routes attackers might exploit. This approach moves beyond isolated vulnerabilities, allowing teams to see their environment as a connected landscape of risks across hybrid infrastructures, ultimately enhancing their ability to secure critical assets and discover potential entry points. We are excited to update on our solution’s latest enhancement, which includes a high-level overview experience, offering a clear understanding of top attack scenarios, entry points, and common target types. Additionally, Exposure Management highlights chokepoints with a dedicated experience – these chokepoints are assets that appear in multiple attack paths, enabling cost-effective mitigation. Chokepoints also support blast radius querying, showing how attackers might exploit these assets to reach critical targets. In addition, we are adding support for new adversarial techniques including: DACL Support: We now include Discretionary Access Control Lists (DACLs) in our attack path analysis, through which more extensive attack paths are uncovered, particularly those that exploit misconfigurations or excessive permissions within access control lists. Hybrid Attack Paths: Our expanded analysis now identifies hybrid attack paths, capturing routes that originate on-premises and extend into cloud environments, providing defenders with a more complete view of potential threats across both infrastructures. In essence, attack path management allows defenders to transform isolated vulnerabilities into actionable insights across hybrid infrastructures. This comprehensive perspective enables security teams to shift from reactive to proactive defense, strengthening resilience by focusing on the most critical threats across their entire environment. Unified Exposure Insights With Microsoft Security Exposure Management, organizations can transform raw technical data into actionable insights that bridge the gap between cybersecurity teams and business decision-makers. By offering clear, real-time metrics, this platform answers key questions such as "How secure are we?", "What risks do we face?", and "Where should we focus first to reduce our exposure?" These insights not only provide a comprehensive view of your security posture but also guide prioritization and remediation efforts. To help your organization embrace a proactive security mindset, we introduced Security Initiatives—a strategic framework to focus your teams on critical aspects of your attack surface. These initiatives help teams to scope, discover, prioritize, and validate security findings while ensuring effective communication with stakeholders. Now, we are enhancing these capabilities to offer even greater visibility and control. The expanded initiative catalog now features new programs targeting high-priority areas like SaaS security, IoT, OT, and alongside existing domain and threat-focused initiatives. Each initiative continues to provide real-time metrics, expert-curated recommendations, and progress tracking, empowering security teams to drive maturity across their security programs. With this expanded toolset, organizations can further align their security efforts with evolving risks, ensuring a continuous, dynamic response to the threat landscape. SaaS Security Initiative (Powered by Microsoft Defender for Cloud Apps): Effective SaaS posture management is essential for proactively preventing SaaS-related attacks. The SaaS Security initiative delivers a comprehensive view of your SaaS security coverage, health, configuration, and performance and consolidates all best-practice recommendations for configuring SaaS apps into measurable metrics to help security teams efficiently manage and prioritize critical security controls. To optimize this initiative, activate key application connectors in Defender for Cloud Apps, including Microsoft 365, Salesforce, ServiceNow, GitHub, Okta, Citrix ShareFile, DocuSign, Dropbox, Google Workspace, NetDocuments, Workplace (preview), Zendesk, Zoom (preview), and Atlassian. For more information, check out https://aka.ms/Ignite2024MDA OT Security Initiative (Powered by Microsoft Defender for IoT): The convergence of Operational Technology (OT) and Information Technology (IT) has transformed industries worldwide, but it has also introduced significant new security challenges, particularly for industrial operations and critical infrastructure. The modern threat landscape, now accelerated by the growing capabilities of AI, demands specialized security solutions for these sensitive environments. The OT Security Initiative addresses these challenges by providing practitioners with a comprehensive solution to identify, monitor, and mitigate risks within OT environments, ensuring both operational reliability and safety. By leveraging Microsoft Defender for Endpoint discovery, the initiative offers unified visibility across enterprise and OT networks, empowering organizations to identify unprotected OT assets, assess their risk levels, and implement security measures across all physical sites. Enterprise IoT Security Initiative (Powered by Microsoft Defender for IoT): This initiative delivers comprehensive visibility into the risks associated with IoT devices within the enterprise, enabling organizations to assess their resilience against these emerging threats. As IoT devices frequently connect to endpoints, one another, or the internet, they become prime targets for cyberattacks. Therefore, businesses must continuously monitor the security of these devices, tracking their distribution, configuration, connectivity, exposure, and behavior to prevent the introduction of hidden vulnerabilities. By leveraging this initiative, organizations can proactively manage IoT risks and safeguard their digital landscape. Proactively understand how system updates affect scores The new versioning feature offers proactive notifications about upcoming version updates, giving users advanced visibility into anticipated metric changes and their impact on related initiatives. A dedicated side panel provides comprehensive details about each update, including the expected release date, release notes, current and updated metric values, and any changes to related initiative scores. Additionally, users can share direct feedback on the updates within the platform, fostering continuous improvement and responsiveness to user needs. Exposure History With the new history-reasoning feature, users can investigate metric changes by reviewing detailed asset exposure updates. In the initiative's history tab, selecting a specific metric now reveals a list of assets where exposure has been either added or removed, providing clearer insight into exposure shifts over time. Unified Role-Based Access Control (URBAC) Support We are excited to introduce the capability to manage user privileges and access to Microsoft Security Exposure Management through custom roles within the Microsoft Defender XDR Unified Role-Based Access Control (URBAC) system. This enhancement ensures higher productivity and efficient access control on a single, centralized platform. The unified RBAC permissions model offers administrators an alternative to Entra ID directory roles, allowing for more granular permission management and customization. This model complements Entra ID global roles by enabling administrators to implement access policies based on the principle of least privilege, thereby assigning users only the permissions they need for their daily tasks. We recommend maintaining three custom roles that align with organizational posture personas: Posture Reader: Users with read-only access to Exposure Management data. Posture Contributor: Users with read and manage permissions, enabling them to handle security initiatives and metrics, as well as manage posture recommendations. Posture Admin: Users who likely already hold higher-level permissions within the Microsoft Defender portal and can now perform sensitive posture-related actions within Exposure Management experiences. To learn more about the Microsoft XDR Unified RBAC permissions model, click here. For more information on Microsoft Security Exposure Management access management with unified RBAC, click here. How to get Microsoft Security Exposure Management Exposure Management is available in the Microsoft Defender portal at https://security.microsoft.com. Access to the exposure management blade and features in the Microsoft Defender portal is available with any of the following licenses: Microsoft 365 E5 or A5 Microsoft 365 E3 Microsoft 365 E3 with the Microsoft Enterprise Mobility + Security E5 add-on Microsoft 365 A3 with the Microsoft 365 A5 security add-on Microsoft Enterprise Mobility + Security E5 or A5 Microsoft Defender for Endpoint (Plan 1 and 2) Microsoft Defender for Identity Microsoft Defender for Cloud Apps Microsoft Defender for Office 365 (Plans 1 and 2) Microsoft Defender Vulnerability Management Integration of data from the above tools, as well as other Microsoft security tools like Microsoft Defender for Cloud, Microsoft Defender Cloud Security Posture Management, and Microsoft Defender External Attack Surface Management, is available with these licenses. Integration of non-Microsoft security tools will incur a consumption-based cost based on the number of assets in the connected security tool. The external connectors are currently in public preview, with plans to reach general availability (GA) by the end of Q1 2025. Pricing will be announced before billing for external connectors begins at GA. Learn More The threat landscape is constantly shifting, and the attack surface continues to grow, leaving organizations exposed. Outpacing threat actors through patching alone is no longer feasible. Now is the time to evolve your vulnerability management strategy to be smarter, more dynamic, and more powerful — focused on exposures and built on a proactive mindset. By adopting a Continuous Threat Exposure Management (CTEM) process, you can stay ahead of attackers. Microsoft Security Exposure Management equips you with the tools to scope, discover, prioritize, validate, and mobilize your teams, empowering you to defend your organization with precision and confidence. Embrace the future of cybersecurity resilience—contact us today to learn more, sign up for a demo, or speak with our team about how Microsoft Security Exposure Management can transform your defense strategy. Don’t wait to secure your organization. Get started today. Explore overview and core scenarios on our website Learn about capabilities and scenarios in blog posts written by our engineering and research teamsAccelerate AI adoption with next-gen security and governance capabilities
Generative AI adoption is accelerating across industries, and organizations are looking for secure ways to harness its potential. Today, we are excited to introduce new capabilities designed to drive AI transformation with strong security and governance tools.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 can’t 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 layer—it'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, we’re 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 agent’s behavior is aligned with its assigned task by analyzing the user’s query, system instructions, planned tool calls, and the agent’s response. The evaluation framework is built on Microsoft’s 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 tool’s 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 who’s 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 Manager’s 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, we’re 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 that’s especially true as we enter this new era of protecting AI agents and their identities. We’re 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, we’re also excited to announce new partnerships with ServiceNow and Workday. As part of this, we’ll 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 controls can 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 it’s 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, “Infosys 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. “We’re 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. We’re seeing 25 to 30 percent time savings when we build secure features using the Purview SDK,” 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 data’s 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 “General” and others as “Highly Confidential.” If a response pulls from both, it will inherit the most restrictive label, in this case, "Highly Confidential,” 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 data’s 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, we’ve 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 only” documents that shouldn’t 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, it’s 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 about Security for AI solutions on our webpage Learn more about Microsoft Purview SDK Get started with Azure AI Foundry Get started with Microsoft Entra Get started with Microsoft Purview Get started with Microsoft Defender for Cloud Get started with Microsoft 365 Copilot Get started with Copilot Studio Sign up for a free Microsoft 365 E5 Security Trial and Microsoft 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-sdlcHow to deploy Microsoft Purview DSPM for AI to secure your AI apps
Microsoft Purview Data Security Posture Management (DSPM for AI) is designed to enhance data security for the following AI applications: Microsoft Copilot experiences, including Microsoft 365 Copilot. Enterprise AI apps, including ChatGPT enterprise integration. Other AI apps, including all other AI applications like ChatGPT consumer, Microsoft Copilot, DeepSeek, and Google Gemini, accessed through the browser. In this blog, we will dive into the different policies and reporting we have to discover, protect and govern these three types of AI applications. Prerequisites Please refer to the prerequisites for DSPM for AI in the Microsoft Learn Docs. Login to the Purview portal To begin, start by logging into Microsoft 365 Purview portal with your admin credentials: In the Microsoft Purview portal, go to the Home page. Find DSPM for AI under solutions. 1. Securing Microsoft 365 Copilot Be sure to check out our blog on How to use the DSPM for AI data assessment report to help you address oversharing concerns when you deploy Microsoft 365 Copilot. Discover potential data security risks in Microsoft 365 Copilot interactions In the Overview tab of DSPM for AI, start with the tasks in “Get Started” and Activate Purview Audit if you have not yet activated it in your tenant to get insights into user interactions with Microsoft Copilot experiences In the Recommendations tab, review the recommendations that are under “Not Started”. Create the following data discovery policy to discover sensitive information in AI interactions by clicking into it. Detect risky interactions in AI apps - This public preview Purview Insider Risk Management policy helps calculate user risk by detecting risky prompts and responses in Microsoft 365 Copilot experiences. Click here to learn more about Risky AI usage policy. With the policies to discover sensitive information in Microsoft Copilot experiences in place, head back to the Reports tab of DSPM for AI to discover any AI interactions that may be risky, with the option to filter to Microsoft Copilot Experiences, and review the following for Microsoft Copilot experiences: Total interactions over time (Microsoft Copilot) Sensitive interactions per AI app Top unethical AI interactions Top sensitivity labels references in Microsoft 365 Copilot Insider Risk severity Insider risk severity per AI app Potential risky AI usage Protect sensitive data in Microsoft 365 Copilot interactions From the Reports tab, click on “View details” for each of the report graphs to view detailed activities in the Activity Explorer. Using available filters, filter the results to view activities from Microsoft Copilot experiences based on different Activity type, AI app category and App type, Scope, which support administrative units for DSPM for AI, and more. Then drill down to each activity to view details including the capability to view prompts and response with the right permissions. To protect the sensitive data in interactions for Microsoft 365 Copilot, review the Not Started policies in the Recommendations tab and create these policies: Information Protection Policy for Sensitivity Labels - This option creates default sensitivity labels and sensitivity label policies. If you've already configured sensitivity labels and their policies, this configuration is skipped. Protect sensitive data referenced in Microsoft 365 Copilot - This guides you through the process of creating a Purview Data Loss Prevention (DLP) policy to restrict the processing of content with specific sensitivity labels in Copilot interactions. Click here to learn more about Data Loss Prevention for Microsoft 365 Copilot. Protect sensitive data referenced in Copilot responses - Sensitivity labels help protect files by controlling user access to data. Microsoft 365 Copilot honors sensitivity labels on files and only shows users files they already have access to in prompts and responses. Use Data assessments to identify potential oversharing risks, including unlabeled files. Stay tuned for an upcoming blog post on using DSPM for AI data assessments! Use Copilot to improve your data security posture - Data Security Posture Management combines deep insights with Security Copilot capabilities to help you identify and address security risks in your org. Once you have created policies from the Recommendations tab, you can go to the Policies tab to review and manage all the policies you have created across your organization to discover and safeguard AI activity in one centralized place, as well as edit the policies or investigate alerts associated with those policies in solution. Note that additional policies not from the Recommendations tab will also appear in the Policies tab when DSPM for AI identifies them as policies to Secure and govern all AI apps. Govern the prompts and responses in Microsoft 365 Copilot interactions Understand and comply with AI regulations by selecting “Guided assistance to AI regulations” in the Recommendations tab and walking through the “Actions to take”. From the Recommendations tab, create a Control unethical behavior in AI Purview Communications Compliance policy to detect sensitive information in prompts and responses and address potentially unethical behavior in Microsoft Copilot experiences and ChatGPT for Enterprise. This policy covers all users and groups in your organization. To retain and/or delete Microsoft 365 Copilot prompts and responses, setup a Data Lifecycle policy by navigating to Microsoft Purview Data Lifecycle Management and find Retention Policies under the Policies header. You can also preserve, collect, analyze, review, and export Microsoft 365 Copilot interactions by creating an eDiscovery case. 2. Securing Enterprise AI apps Please refer to this amazing blog on Unlocking the Power of Microsoft Purview for ChatGPT Enterprise | Microsoft Community Hub for detailed information on how to integrate with ChatGPT for enterprise, the Purview solutions it currently supports through Purview Communication Compliance, Insider Risk Management, eDiscovery, and Data Lifecycle Management. Learn more about the feature also through our public documentation. 3. Securing other AI Microsoft Purview DSPM for AI currently supports the following list of AI sites. Be sure to also check out our blog on the new Microsoft Purview data security controls for the browser & network to secure other AI apps. Discover potential data security risks in prompts sent to other AI apps In the Overview tab of DSPM for AI, go through these three steps in “Get Started” to discover potential data security risk in other AI interactions: Install Microsoft Purview browser extension For Windows users: The Purview extension is not necessary for the enforcement of data loss prevention on the Edge browser but required for Chrome to detect sensitive info pasted or uploaded to AI sites. The extension is also required to detect browsing to other AI sites through an Insider Risk Management policy for both Edge and Chrome browser. Therefore, Purview browser extension is required for both Edge and Chrome in Windows. For MacOS users: The Purview extension is not necessary for the enforcement of data loss prevention on macOS devices, and currently, browsing to other AI sites through Purview Insider Risk Management is not supported on MacOS, therefore, no Purview browser extension is required for MacOS. Extend your insights for data discovery – this one-click collection policy will setup three separate Purview detection policies for other AI apps: Detect sensitive info shared in AI prompts in Edge – a Purview collection policy that detects prompts sent to ChatGPT consumer, Micrsoft Copilot, DeepSeek, and Google Gemini in Microsoft Edge and discovers sensitive information shared in prompt contents. This policy covers all users and groups in your organization in audit mode only. Detect when users visit AI sites – a Purview Insider Risk Management policy that detects when users use a browser to visit AI sites. Detect sensitive info pasted or uploaded to AI sites – a Purview Endpoint Data loss prevention (eDLP) policy that discovers sensitive content pasted or uploaded in Microsoft Edge, Chrome, and Firefox to AI sites. This policy covers all users and groups in your org in audit mode only. With the policies to discover sensitive information in other AI apps in place, head back to the Reports tab of DSPM for AI to discover any AI interactions that may be risky, with the option to filter by Other AI Apps, and review the following for other AI apps: Total interactions over time (other AI apps) Total visits (other AI apps) Sensitive interactions per AI app Insider Risk severity Insider risk severity per AI app Protect sensitive info shared with other AI apps From the Reports tab, click on “View details” for each of the report graphs to view detailed activities in the Activity Explorer. Using available filters, filter the results to view activities based on different Activity type, AI app category and App type, Scope, which support administrative units for DSPM for AI, and more. To protect the sensitive data in interactions for other AI apps, review the Not Started policies in the Recommendations tab and create these policies: Fortify your data security – This will create three policies to manage your data security risks with other AI apps: 1) Block elevated risk users from pasting or uploading sensitive info on AI sites – this will create a Microsoft Purview endpoint data loss prevention (eDLP) policy that uses adaptive protection to give a warn-with-override to elevated risk users attempting to paste or upload sensitive information to other AI apps in Edge, Chrome, and Firefox. This policy covers all users and groups in your org in test mode. Learn more about adaptive protection in Data loss prevention. 2) Block elevated risk users from submitting prompts to AI apps in Microsoft Edge – this will create a Microsoft Purview browser data loss prevention (DLP) policy, and using adaptive protection, this policy will block elevated, moderate, and minor risk users attempting to put information in other AI apps using Microsoft Edge. This integration is built-in to Microsoft Edge. Learn more about adaptive protection in Data loss prevention. 3) Block sensitive info from being sent to AI apps in Microsoft Edge - this will create a Microsoft Purview browser data loss prevention (DLP) policy to detect inline for a selection of common sensitive information types and blocks prompts being sent to AI apps while using Microsoft Edge. This integration is built-in to Microsoft Edge. Once you have created policies from the Recommendations tab, you can go to the Policies tab to review and manage all the policies you have created across your organization to discover and safeguard AI activity in one centralized place, as well as edit the policies or investigate alerts associated with those policies in solution. Note that additional policies not from the Recommendations tab will also appear in the Policies tab when DSPM for AI identifies them as policies to Secure and govern all AI apps. Conclusion Microsoft Purview DSPM for AI can help you discover, protect, and govern the interactions from AI applications in Microsoft Copilot experiences, Enterprise AI apps, and other AI apps. We recommend you review the Reports in DSPM for AI routinely to discover any new interactions that may be of concern, and to create policies to secure and govern those interactions as necessary. We also recommend you utilize the Activity Explorer in DSPM for AI to review different Activity explorer events while users interacting with AI, including the capability to view prompts and response with the right permissions. We will continue to update this blog with new features that become available in DSPM for AI, so be sure to bookmark this page! Follow-up Reading Check out this blog on the details of each recommended policies in DSPM for AI: Microsoft Purview – Data Security Posture Management (DSPM) for AI | Microsoft Community Hub Address oversharing concerns with Microsoft 365 blueprint - aka.ms/Copilot/Oversharing Microsoft Purview data security and compliance protections for Microsoft 365 Copilot and other generative AI apps | Microsoft Learn Considerations for deploying Microsoft Purview AI Hub and data security and compliance protections for Microsoft 365 Copilot and Microsoft Copilot | Microsoft Learn Commonly used properties in Copilot audit logs - Audit logs for Copilot and AI activities | Microsoft Learn Supported AI sites by Microsoft Purview for data security and compliance protections | Microsoft Learn Where Copilot usage data is stored and how you can audit it - Microsoft 365 Copilot data protection and auditing architecture | Microsoft Learn Downloadable whitepaper: Data Security for AI Adoption | Microsoft Public roadmap for DSPM for AI - Microsoft 365 Roadmap | Microsoft 365
