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Index Community Calls: January 2026 | February 2026 | March 2026 Upcoming Community Calls February 2026 Feb. 26 | 9:00am | Azure Network Security | Azure Firewall Integration with Microsoft Sentinel Learn how Azure Firewall integrates with Microsoft Sentinel to enhance threat visibility and streamline security investigations. This webinar will demonstrate how firewall logs and insights can be ingested into Sentinel to correlate network activity with broader security signals, enabling faster detection, deeper context, and more effective incident response. March 2026 Mar. 4 | 8:00am | Microsoft Security Store | A Day in the Life of an Identity Security Manager Powered by Security Agents In this session, you’ll see how security agents from the Microsoft Security Store help security teams amplify capacity, accelerate detection‑to‑remediation, and strengthen identity security posture. Co‑presented with identity security experts from the Microsoft Most Valuable Professionals (MVPs) community, we’ll walk through a day‑in‑the‑life of an identity protection manager—covering scenarios like password spray attacks, privileged account compromise, and dormant account exploitation. You’ll then see how security agents can take on the heavy lifting, while you remain firmly in control. Mar. 5 | 8:00am | Security Copilot Skilling Series | Conditional Access Optimization Agent: What It Is & Why It Matters Get a clear, practical look at the Conditional Access Optimization Agent—how it automates policy upkeep, simplifies operations, and uses new post‑Ignite updates like Agent Identity and dashboards to deliver smarter, standards‑aligned recommendations. Mar. 11 | 8:00am | Microsoft Security Store | A Day in the Life of an Identity Governance Manager Powered by Security Agents In this session, you’ll see how agents from the Microsoft Security Store help governance teams streamline reviews, reduce standing privilege, and close lifecycle gaps. Co‑presented with identity governance experts from the Microsoft MVP community, we’ll walk through a day‑in‑the‑life of an identity governance manager—covering scenarios like excessive access accumulation, offboarding gaps, and privileged role sprawl. You’ll see how agents can automate governance workflows while keeping you in control. Mar. 11 | 8:00am | Microsoft Entra | QR code authentication: Fast, simple sign‑in designed for Frontline Workers Frontline teams often work on shared mobile devices where typing long usernames and passwords slows everyone down. In this session, we’ll introduce the QR code authentication method in Microsoft Entra ID—a streamlined way for workers to sign in by scanning their unique QR code and entering a PIN on shared iOS/iPadOS or Android devices. No personal phones or complex credentials required. We’ll walk through the end‑to‑end experience, from enabling the method in your tenant and issuing codes to workers (via the Entra admin center or My Staff), to the on‑device sign‑in flow that gets your teams productive quickly. We’ll also cover best‑practice controls—like using Conditional Access and Shared device mode—to help you deploy with confidence. Bring your questions—we’ll host Q&A and collect product feedback to help prioritize upcoming investments. Mar. 11 | 5:00pm | Microsoft Entra | Building MCP on Entra: Design Choices for Enterprise Agents Explore approaches for integrating MCP with Microsoft Entra Agent ID. We’ll outline key considerations for identity, consent, and authorization, discuss patterns for scalable and auditable agent architectures, and share insights on interoperability. Expect practical guidance, common pitfalls, and an open forum for questions and feedback. Mar. 12 | 12:00pm (BRT) | Microsoft Intune | Novidades do Microsoft Intune - Últimos lançamentos Junte-se a nós para explorar as novidades do Microsoft Intune, incluindo os lançamentos mais recentes anunciados no Microsoft Ignite e a integração do Microsoft Security Copilot no Intune. A sessão contará com demonstrações ao vivo e um espaço interativo de perguntas e respostas, onde você poderá tirar suas dúvidas com especialistas. Mar. 18 | 1:00pm (AEDT) | Microsoft Entra | From Lockouts to Logins: Modern Account Recovery and Passkeys Lost phone, no backup? In a passwordless world, users can face total lockouts and risky helpdesk recovery. This session shows how Entra ID Account Recovery uses strong identity verification and passkey profiles to help users safely regain access. Mar. 19 | 8:00am | Microsoft Purview | Insider Risk Data Risk Graph We’re excited to share a new capability that brings Microsoft Purview Insider Risk Management (IRM) together with Microsoft Sentinel through the data risk graph (public preview) What it is: The data risk graph gives you an interactive, visual map of user activity, data movement, and risk signals—all in one place. Why it matters: Quickly investigate insider risk alerts with clear context, understand the impact of risky activities on sensitive data, accelerate response with intuitive, graph-based insights Getting started: Requires onboarding to the Sentinel data lake & graph. Needs appropriate admin/security roles and at least one IRM policy configured This session will provide practical guidance on onboarding, setup requirements, and best practices for data risk graph. Mar. 24 | 8:00am | Microsoft Purview | eDiscovery recent updates to the modern UX Join us to learn all about the recent updates to the modern UX, from new features and managing generative AI content. Mar. 26 | 8:00am | Azure Network Security | What's New in Azure Web Application Firewall Azure Web Application Firewall (WAF) continues to evolve to help you protect your web applications against ever-changing threats. In this session, we’ll explore the latest enhancements across Azure WAF, including improvements in ruleset accuracy, threat detection, and configuration flexibility. Whether you use Application Gateway WAF or Azure Front Door WAF, this session will help you understand what’s new, what’s improved, and how to get the most from your WAF deployments. Looking for more? Join the Security Advisors! As a Security Advisor, you’ll gain early visibility into product roadmaps, participate in focus groups, and access private preview features before public release. You’ll have a direct channel to share feedback with engineering teams, influencing the direction of Microsoft Security products. The program also offers opportunities to collaborate and network with fellow end users and Microsoft product teams. Join the Security Advisors program that best fits your interests: www.aka.ms/joincommunity. Additional resources Microsoft Security Hub on Tech Community Virtual Ninja Training Courses Microsoft Security Documentation Azure Network Security GitHub Microsoft Defender for Cloud GitHub Microsoft Sentinel GitHub Microsoft Defender XDR GitHub Microsoft Defender for Cloud Apps GitHub Microsoft Defender for Identity GitHub Microsoft Purview GitHubAuthorization and Identity Governance Inside AI Agents
Designing Authorization‑Aware AI Agents Enforcing Microsoft Entra ID RBAC in Copilot Studio As AI agents move from experimentation to enterprise execution, authorization becomes the defining line between innovation and risk. AI agents are rapidly evolving from experimental assistants into enterprise operators—retrieving user data, triggering workflows, and invoking protected APIs. While many early implementations rely on prompt‑level instructions to control access, regulated enterprise environments require authorization to be enforced by identity systems, not language models. This article presents a production‑ready, identity‑first architecture for building authorization‑aware AI agents using Copilot Studio, Power Automate, Microsoft Entra ID, and Microsoft Graph, ensuring every agent action executes strictly within the requesting user’s permissions. Why Prompt‑Level Security Is Not Enough Large Language Models interpret intent—they do not enforce policy. Even the most carefully written prompts cannot: Validate Microsoft Entra ID group or role membership Reliably distinguish delegated user identity from application identity Enforce deterministic access decisions Produce auditable authorization outcomes Relying on prompts for authorization introduces silent security failures, over‑privileged access, and compliance gaps—particularly in Financial Services, Healthcare, and other regulated industries. Authorization is not a reasoning problem. It is an identity enforcement problem. Common Authorization Anti‑Patterns in AI Agents The following patterns frequently appear in early AI agent implementations and should be avoided in enterprise environments: Hard‑coded role or group checks embedded in prompts Trusting group names passed as plain‑text parameters Using application permissions for user‑initiated actions Skipping verification of the user’s Entra ID identity Lacking an auditable authorization decision point These approaches may work in demos, but they do not survive security reviews, compliance audits, or real‑world misuse scenarios. Authorization‑Aware Agent Architecture In an authorization‑aware design, the agent never decides access. Authorization is enforced externally, by identity‑aware workflows that sit outside the language model’s reasoning boundary. High‑Level Flow The Copilot Studio agent receives a user request The agent passes the User Principal Name (UPN) and intended action A Power Automate flow validates permissions using Microsoft Entra ID via Microsoft Graph Only authorized requests are allowed to proceed Unauthorized requests fail fast with a deterministic outcome Authorization‑aware Copilot Studio architecture enforces Entra ID RBAC before executing any business action. The agent orchestrates intent. Identity systems enforce access. Enforcing Entra ID RBAC with Microsoft Graph Power Automate acts as the authorization enforcement layer: Resolve user identity from the supplied UPN Retrieve group or role memberships using Microsoft Graph Normalize and compare memberships against approved RBAC groups Explicitly deny execution when authorization fails This keeps authorization logic: Centralized Deterministic Auditable Independent of the AI model Reference Implementation: Power Automate RBAC Enforcement Flow The following import‑ready Power Automate cloud flow demonstrates a secure RBAC enforcement pattern for Copilot Studio agents. It validates Microsoft Entra ID group membership before allowing any business action. Scenario Trigger: User‑initiated agent action Identity model: Delegated user identity Input: userUPN, requestedAction Outcome: Authorized or denied based on Entra ID RBAC { "$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#", "contentVersion": "1.0.0.0", "triggers": { "Copilot_Request": { "type": "Request", "kind": "Http", "inputs": { "schema": { "type": "object", "properties": { "userUPN": { "type": "string" }, "requestedAction": { "type": "string" } }, "required": [ "userUPN" ] } } } }, "actions": { "Get_User_Groups": { "type": "Http", "inputs": { "method": "GET", "uri": "https://graph.microsoft.com/v1.0/users/@{triggerBody()?['userUPN']}/memberOf?$select=displayName", "authentication": { "type": "ManagedServiceIdentity" } } }, "Normalize_Group_Names": { "type": "Select", "inputs": { "from": "@body('Get_User_Groups')?['value']", "select": { "groupName": "@toLower(item()?['displayName'])" } }, "runAfter": { "Get_User_Groups": [ "Succeeded" ] } }, "Check_Authorization": { "type": "Condition", "expression": "@contains(body('Normalize_Group_Names'), 'ai-authorized-users')", "runAfter": { "Normalize_Group_Names": [ "Succeeded" ] }, "actions": { "Authorized_Action": { "type": "Compose", "inputs": "User authorized via Entra ID RBAC" } }, "else": { "actions": { "Access_Denied": { "type": "Terminate", "inputs": { "status": "Failed", "message": "Access denied. User not authorized via Entra ID RBAC." } } } } } } } This pattern enforces authorization outside the agent, aligns with Zero Trust principles, and creates a clear audit boundary suitable for enterprise and regulated environments. Flow Diagram: Agent Integrated with RBAC Authorization Flow and Sample Prompt Execution: Delegated vs Application Permissions Scenario Recommended Permission Model User‑initiated agent actions Delegated permissions Background or system automation Application permissions Using delegated permissions ensures agent execution remains strictly within the requesting user’s identity boundary. Auditing and Compliance Benefits Deterministic and explainable authorization decisions Centralized enforcement aligned with identity governance Clear audit trails for security and compliance reviews Readiness for SOC, ISO, PCI, and FSI assessments Enterprise Security Takeaways Authorization belongs in Microsoft Entra ID, not prompts AI agents must respect enterprise identity boundaries Copilot Studio + Power Automate + Microsoft Graph enable secure‑by‑design AI agents By treating AI agents as first‑class enterprise actors and enforcing authorization at the identity layer, organizations can scale AI adoption with confidence, trust, and compliance.Introducing Security Dashboard for AI (Now in Public Preview)
AI proliferation in the enterprise, combined with the emergence of AI governance committees and evolving AI regulations, leaves CISOs and AI risk leaders needing a clear view of their AI risks, such as data leaks, model vulnerabilities, misconfigurations, and unethical agent actions across their entire AI estate, spanning AI platforms, apps, and agents. 53% of security professionals say their current AI risk management needs improvement, presenting an opportunity to better identify, assess and manage risk effectively. 1 At the same time, 86% of leaders prefer integrated platforms over fragmented tools, citing better visibility, fewer alerts and improved efficiency. 2 To address these needs, we are excited to announce the Security Dashboard for AI, previously announced at Microsoft Ignite, is available in public preview. This unified dashboard aggregates posture and real-time risk signals from Microsoft Defender, Microsoft Entra, and Microsoft Purview - enabling users to see left-to-right across purpose-built security tools from within a single pane of glass. The dashboard equips CISOs and AI risk leaders with a governance tool to discover agents and AI apps, track AI posture and drift, and correlate risk signals to investigate and act across their entire AI ecosystem. Security teams can continue using the tools they trust while empowering security leaders to govern and collaborate effectively. Gain Unified AI Risk Visibility Consolidating risk signals from across purpose-built tools can simplify AI asset visibility and oversight, increase security teams’ efficiency, and reduce the opportunity for human error. The Security Dashboard for AI provides leaders with unified AI risk visibility by aggregating security, identity, and data risk across Defender, Entra, Purview into a single interactive dashboard experience. The Overview tab of the dashboard provides users with an AI risk scorecard, providing immediate visibility to where there may be risks for security teams to address. It also assesses an organization's implementation of Microsoft security for AI capabilities and provides recommendations for improving AI security posture. The dashboard also features an AI inventory with comprehensive views to support AI assets discovery, risk assessments, and remediation actions for broad coverage of AI agents, models, MCP servers, and applications. The dashboard provides coverage for all Microsoft AI solutions supported by Entra, Defender and Purview—including Microsoft 365 Copilot, Microsoft Copilot Studio agents, and Microsoft Foundry applications and agents—as well as third-party AI models, applications, and agents, such as Google Gemini, OpenAI ChatGPT, and MCP servers. This supports comprehensive visibility and control, regardless of where applications and agents are built. Prioritize Critical Risk with Security Copilots AI-Powered Insights Risk leaders must do more than just recognize existing risks—they also need to determine which ones pose the greatest threat to their business. The dashboard provides a consolidated view of AI-related security risks and leverages Security Copilot’s AI-powered insights to help find the most critical risks within an environment. For example, Security Copilot natural language interaction improves agent discovery and categorization, helping leaders identify unmanaged and shadow AI agents to enhance security posture. Furthermore, Security Copilot allows leaders to investigate AI risks and agent activities through prompt-based exploration, putting them in the driver’s seat for additional risk investigation. Drive Risk Mitigation By streamlining risk mitigation recommendations and automated task delegation, organizations can significantly improve the efficiency of their AI risk management processes. This approach can reduce the potential hidden AI risk and accelerate compliance efforts, helping to ensure that risk mitigation is timely and accurate. To address this, the Security Dashboard for AI evaluates how organizations put Microsoft’s AI security features into practice and offers tailored suggestions to strengthen AI security posture. It leverages Microsoft’s productivity tools for immediate action within the practitioner portal, making it easy for administrators to delegate recommendation tasks to designated users. With the Security Dashboard for AI, CISOs and risk leaders gain a clear, consolidated view of AI risks across agents, apps, and platforms—eliminating fragmented visibility, disconnected posture insights, and governance gaps as AI adoption scales. Best of all, the Security Dashboard for AI is included with eligible Microsoft security products customers already use. If an organization is already using Microsoft security products to secure AI, they are already a Security Dashboard for AI customer. Getting Started Existing Microsoft Security customers can start using Security Dashboard for AI today. It is included when a customer has the Microsoft Security products—Defender, Entra and Purview—with no additional licensing required. To begin using the Security Dashboard for AI, visit http://ai.security.microsoft.com or access the dashboard from the Defender, Entra or Purview portals. Learn more about the Security Dashboard for AI at Microsoft Security MS Learn. 1AuditBoard & Ascend2 Research. The Connected Risk Report: Uniting Teams and Insights to Drive Organizational Resilience. AuditBoard, October 2024. 2Microsoft. 2026 Data Security Index: Unifying Data Protection and AI Innovation. Microsoft Security, 2026
Building Secure, Enterprise Ready AI Agents with Purview SDK and Agent Framework
At Microsoft Ignite, we announced the public preview of Purview integration with the Agent Framework SDK—making it easier to build AI agents that are secure, compliant, and enterprise‑ready from day one. AI agents are quickly moving from demos to production. They reason over enterprise data, collaborate with other agents, and take real actions. As that happens, one thing becomes non‑negotiable: Governance has to be built in. That’s where Purview SDK comes in. Agentic AI Changes the Security Model Traditional apps expose risks at the UI or API layer. AI agents are different. Agents can: Process sensitive enterprise data in prompts and responses Collaborate with other agents across workflows Act autonomously on behalf of users Without built‑in controls, even a well‑designed agent can create compliance gaps. Purview SDK brings Microsoft’s enterprise data security and compliance directly into the agent runtime, so governance travels with the agent—not after it. What You Get with Purview SDK + Agent Framework This integration delivers a few key things developers and enterprises care about most: Inline Data Protection Evaluate prompts and responses against Data Loss Prevention (DLP) policies in real time. Content can be allowed or blocked automatically. Built‑In Governance Send AI interactions to Purview for audit, eDiscovery, communication compliance, and lifecycle management—without custom plumbing. Enterprise‑Ready by Design Ship agents that meet enterprise security expectations from the start, not as a follow‑up project. All of this is done natively through Agent Framework middleware, so governance feels like part of the platform—not an add‑on. How Enforcement Works (Quickly) When an agent runs: Prompts and responses flow through the Agent Framework pipeline Purview SDK evaluates content against configured policies A decision is returned: allow, redact, or block Governance signals are logged for audit and compliance This same model works for: User‑to‑agent interactions Agent‑to‑agent communication Multi‑agent workflows Try It: Add Purview SDK in Minutes Here’s a minimal Python example using Agent Framework: That’s it! From that point on: Prompts and responses are evaluated against Purview policies setup within the enterprise tenant Sensitive data can be automatically blocked Interactions are logged for governance and audit Designed for Real Agent Systems Most production AI apps aren’t single‑agent systems. Purview SDK supports: Agent‑level enforcement for fine‑grained control Workflow‑level enforcement across orchestration steps Agent‑to‑agent governance to protect data as agents collaborate This makes it a natural fit for enterprise‑scale, multi‑agent architectures. Get Started Today You can start experimenting right away: Try the Purview SDK with Agent Framework Follow the Microsoft Learn docs to configure Purview SDK with Agent Framework. Explore the GitHub samples See examples of policy‑enforced agents in Python and .NET. Secure AI, Without Slowing It Down AI agents are quickly becoming production systems—not experiments. By integrating Purview SDK directly into the Agent Framework, Microsoft is making governance a default capability, not a deployment blocker. Build intelligent agents. Protect sensitive data. Scale with confidence.Comprehensive Guide to DLP Policy Tips
Feature Support and Compatibility Q: Which Outlook clients support DLP Policy Tips? A: DLP policy tips are supported across several Outlook clients, but the experience and capabilities vary depending on the end user’s client version and the Microsoft 365 license (E3 vs. E5). For detailed guidance on policy tip support across Microsoft apps, read more here. Below is a breakdown of policy tip support across Outlook clients: Glossary: Basic Policy Tip Support: Display of simple warnings or notifications based on DLP rules. Top 10 Predicates: Most commonly used conditions in DLP rules. Content is shared from M365 Content contains SITs Content contains sensitivity label Subject or Body contains words or phrases Sender is Sender is a member of Sender domain is Recipient is Recipient domain is Recipient is a member of Default Oversharing Dialog: A built-in popup warning users about potential data oversharing. Custom Oversharing Dialog: A tailored version of the oversharing warning. Wait on Send: A delay mechanism that gives users time to review sensitive content before sending. Out-of-box SITs: Out-of-box sensitive information types (SITs), like SSNs or credit card numbers. Custom SITs: User-defined sensitive data patterns. Exact Data Match: Used for precise detection of structured sensitive data. Important considerations: Client version matters: Even within the same client (e.g., Outlook Win32), the version must be recent enough to support the latest DLP features. Older builds may lack support for newer DLP features. Policy tip visibility: Policy tips may not appear if the DLP rule uses unsupported predicates or if the client is offline. Licensing: E5 licenses unlock advanced features like oversharing dialogs and support for custom sensitive information types (SITs). Q: Why don’t Policy tips appear for some users or rules? A: While the underlying DLP rules are always enforced, policy tips may not appear for some users due to several factors: Outlook Client Version: Policy yips are only supported in specific versions of Outlook. For example, older builds of Outlook Win32 may not support the latest DLP capabilities. To ensure the Outlook client version you’re using supports the latest capabilities, read more. Licensing: Users with E3 licenses may only see basic policy tips, and some features may not be available at all, while E5 licenses unlock advanced DLP capabilities such as the custom oversharing dialog. For more information on licensing, read more. Unsupported Conditions or Predicates: If a DLP rule uses unsupported predicates, the policy tip will not be displayed even though the rule is enforced. To ensure compatibility, refer to our documentation for a list of supported conditions by client version. Offline Mode: Policy tips rely on real-time evaluation of message content against Data Loss Prevention (DLP) rules by Microsoft 365 services. When a user is offline, their Outlook client cannot communicate with these services, which affects the visibility of policy tips. What about offline E5 users? Even if a user has an E5 license, which includes advanced DLP features, the client must be online to evaluate and display these advanced policy tips. While the message may still be blocked or logged according to the DLP rule, the user won’t see any tip or warning until they reconnect. Q: Are trainable classifiers supported in policy tips? A: Yes, but with specific limitations. Trainable classifiers are supported in DLP policy tips, but only under specific conditions related to licensing, client version, and connectivity: Licensing: The user must have a Microsoft 365 E5 license. Trainable classifiers are part of Microsoft Purview’s advanced classification capabilities, which are only available with E5 or equivalent add-ons. Client Support: Only certain Outlook clients support policy tips triggered by trainable classifiers. These include: Outlook Classic (Win32) New Outlook for Windows (Monarch) Other clients (such as Outlook Web App (OWA), Outlook for Mac, and Outlook Mobile) do not currently support this feature. Connectivity: The Outlook client must be online. Trainable classifiers rely on the Microsoft 365 Data Classification Service (DCS), which performs real-time content evaluation in the cloud. If the client is offline, policy tips based on trainable classifiers will not appear, even though the DLP rule may still be enforced when the message is sent. Q: Is OCR supported in Policy Tips? A: No, there is currently no support for OCR in policy tips. However, our goal is to support OCR in policy tips in the future. Setup & Configuration Q: What are the prerequisites for enabling DLP policy tips? A: DLP policy tips notify users in real time when their actions may violate data protection policies. To enable and use them effectively, the following prerequisites must be met: Licensing Considerations Microsoft 365 E5 is required for full feature access, including real-time policy tips, trainable classifiers, and connected experiences. Connected Experiences must be enabled in the tenant for real-time tips to appear. License Requirement Microsoft 365 E5 Required for full feature support including trainable classifiers, advanced predicates, and connected experiences. Microsoft 365 E3 Limited support, some advanced features may not be available. Client Compatibility: DLP policy tips are supported across several Outlook clients, but the experience and capabilities vary depending on the client version, licensing, and configuration. Refer to the comprehensive compatibility matrix (provided at the beginning of this guide) to learn about policy tip support across Outlook clients. Permissions To configure and manage DLP policy tips in Microsoft Purview, specific roles and permissions are required. These permissions ensure that only authorized personnel can create, deploy, and monitor DLP policies and their associated tips. Required Roles: Role Group Capabilities Compliance Administrator Full access to create, configure, and deploy DLP policies and tips. Compliance Data Administrator Manage DLP policies and view alerts. Information Protection Admin Configure sensitivity labels and integrate with DLP. Security Administrator View and investigate DLP alerts and incidents. Q: How do I configure a custom policy tip message using JSON? A: You can configure a custom policy tip dialog in DLP policies using a JSON file. This allows you to tailor the message shown to users when a policy is triggered, such as for oversharing or sensitive content detection. JSON must follow the schema outlined in Microsoft’s documentation and internal engineering guidance. Applies to: Microsoft 365 online E5 users with connected experience enabled. This feature is supported in Outlook Classic (Win32) and Monarch. JSON-based dialogs are not supported in Outlook on the Web (OWA), Mac, or Mobile clients. Q: Can I localize policy tips for different languages? A: Localization of DLP policy tips allows users to see messages in their preferred language, improving clarity and compliance across global teams. Microsoft Purview supports localization through JSON-based configuration, but support varies by client. Supported clients: Outlook Classic (Win32) How to configure: Use the LocalizationData block in your custom Policy Tip JSON. Example: LocalizationData block in your custom Policy Tip JSON Upload this JSON using PowerShell with the NotifyPolicyTipCustomDialog parameter. Q: What roles and permissions are required to manage DLP policy tips? A: To manage Data Loss Prevention (DLP) policies and policy tips in Microsoft Purview, you only need to be assigned one of the following roles. Each role provides different levels of access depending on your responsibilities. Role Group Capabilities Compliance Administrator Full access to create, configure, and deploy DLP policies and Policy Tips. Compliance Data Administrator Manage DLP policies and access compliance data. Information Protection Admin Configure sensitivity labels and integrate with DLP policies. Security Administrator View and investigate DLP alerts and incidents. Note: Microsoft recommends assigning the least privileged role necessary to perform the required tasks to enhance security. These roles are assigned in the Microsoft Purview portal under Roles and Scopes. Administrative Unit–scoped roles are also supported for organizations that segment access by department or geography. Troubleshooting & Known Issues Q: Why are policy tips delayed or not appearing at all? A: If you’re not seeing policy tips, follow this checklist to find out why: Outlook Client Compatibility and Licensing Check if your Outlook client supports policy tips. Policy tips are not supported on all Outlook clients. Refer to Q: Which Outlook clients support DLP Policy Tips? Confirm your license. Advanced policy tips (e.g., those using trainable classifiers or oversharing dialogs) require a Microsoft 365 E5 license. Refer to Q: What are the prerequisites for enabling DLP Policy Tips? Policy Configuration Issues Review your DLP policy configuration and check for unsupported conditions. Refer to Q: What predicates are supported across different Outlook clients? Watch for message size limits Only the first 4 MB of the email body and subject, and 2 MB per attachment, are scanned for real-time tips. Use Microsoft’s diagnostic tool Run a built-in diagnostic to test your DLP policy setup. Run the diagnostic. Q: What logs or data should I collect for support escalation? A: To ensure a smooth and complete escalation to Microsoft support or engineering, collect the following logs and metadata depending on the client type. This helps accelerate triage and resolution. Fiddler trace Must include: Timestamp of issue Correlation ID (found as updateGuid in the DLP response) Tenant ID User ID / SMTP address Tenant DLP Policies and Rules Expected rule match conditions and Rule IDs (Optional): Draft email or data input (sender, recipient, subject, message body) ETL logs from %temp%\Outlook Logging PNR logs (Problem Steps Recorder or screenshots) Tenant ID Tenant DLP Policies and Rules Expected rule match conditions and Rule IDs Q: Are there known limitations with policy tips? Unable to detect sensitivity labels in compressed files. Unable to detect CCSI (SITs/Trainable SITs) in encrypted files. Q: What are the limitations of the custom dialog? The title and the body and override justifications options can be customized using the JSON file. Basic text formatting is allowed: bold, underline, italic and line break. Justification options can be up to 3 plus an option for free-text input. The text for false positive and acknowledgment is not customizable. Below is the required structure of the JSON files that admins will create to customize the dialog for matched rules. The keys are all case-sensitive. Formatting and dynamic tokens for matched conditions can only be used in the Body key. Keys Mandatory? Rules/Notes {} Y Container LocalizationData Y Array that contains all the language options. Language Y Specify language code: "en", "es", "fr", "de". Title Y Specify the title for the dialog. Limited to 80 characters. Body Y Specify the body for the dialog. Limited to 1000 characters. Dynamic tokens for matched conditions can be added in the body. Options N Up to three options can be included. One more can be added by setting HasFreeTextOption = true. HasFreeTextOption N This can be true or false, true will display a text box below the last option added to the JSON file. DefaultLanguage Y Must be one of the languages defined within the LocalizationData key. The user must include at least one.
Always‑on Diagnostics for Purview Endpoint DLP: Effortless, Zero‑Friction troubleshooting for admins
Historically, some security teams have struggled with the challenge of troubleshooting issues with endpoint DLP. Investigations can often slow down because reproducing issues, collecting traces, and aligning on context can be tedious. With always-on diagnostics in Purview endpoint data loss prevention (DLP), our goal has been simple: make troubleshooting seamless, and effortless—without ever disrupting the information worker. Today, we’re excited to share new enhancements to always-on diagnostics for Purview endpoint DLP. This is the next step in our journey to modernize supportability in Microsoft Purview and dramatically reduce admin friction during investigations. Where We Started: Introduction of continuous diagnostic collection Earlier this year, we introduced continuous diagnostic trace collection on Windows endpoints (support for macOS endpoints coming soon). This eliminated the single largest source of friction: the need to reproduce issues. With this capability: Logs are captured persistently for up to 90 days Information workers no longer need admin permissions to retrieve traces Admins can submit complete logs on the first attempt Support teams can diagnose transient or rare issues with high accuracy In just a few months, we saw resolution times drop dramatically. The message was clear: Always-on diagnostics is becoming a new troubleshooting standard. Our Newest Enhancements: Built for Admins. Designed for Zero Friction. The newest enhancements to always-on diagnostics unlock the most requested capability from our IT and security administrators: the ability to retrieve and upload always-on diagnostic traces directly from devices using the Purview portal — with no user interaction required. This means: Admins can now initiate trace uploads on demand No interruption to information workers and their productivity No issue reproduction sessions, minimizing unnecessary disruption and coordination Every investigation starts with complete context Because the traces are already captured on-device, these improvements now help complete the loop by giving admins a seamless, portal-integrated workflow to deliver logs to Microsoft when needed. This experience is now fully available for customers using endpoint DLP on Windows. Why This Matters As a product team, our success is measured not just by usage, but by how effectively we eliminate friction for customers. Always-on diagnostics minimizes the friction and frustration that has historically affected some customers. - No more asking your employee or information worker to "can you reproduce that?" and share logs - No more lost context - No more delays while logs are collected after the fact How it Works Local trace capture Devices continuously capture endpoint DLP diagnostic data in a compressed, proprietary format, and this data stays solely on the respective device based on the retention period and storage limits configured by the admin. Users no longer need to reproduce issues during retrieval—everything the investigation requires is already captured on the endpoint. Admin-triggered upload Admins can now request diagnostic uploads directly from the Purview portal, eliminating the need to disrupt users. Upload requests can be initiated from multiple entry points, including: Alerts (Data Loss Prevention → Alerts → Events) Activity Explorer (Data Loss Prevention → Explorers → Activity explorer) Device Policy Status Page (Settings → Device onboarding → Devices) From any of these locations, admins can simply choose Request device log, select the date range, add a brief description, and submit the request. Once processed, the device’s always-on diagnostic logs are securely uploaded to Microsoft telemetry as per customer-approved settings. Admins can include the upload request number in their ticket with Microsoft Support, and sharing this number removes the need for the support engineer to ask for logs again during the investigation. This workflow ensures investigations start with complete diagnostic context. Privacy & compliance considerations Data is only uploaded during admin-initiated investigations Data adheres to our published diagnostic data retention policies Logs are only accessible to the Microsoft support team, not any other parties We Want to Hear From You Are you using always-on diagnostics? We'd love to hear about your experience. Share your feedback, questions, or success stories in the Microsoft Tech Community, or reach out to our engineering team directly. Making troubleshooting effortless—so you can focus on what matters, not on chasing logs.Artificial Intelligence & Security
Understanding Artificial Intelligence Artificial intelligence (AI) is a computational system that perform human‑intelligence tasks, learning, reasoning, problem‑solving, perception, and language understanding by leveraging algorithmic and statistical methods to analyse data and make informed decisions. Artificial Intelligence (AI) can also be abbreviated as is the simulation of human intelligence through machines programmed to learn, reason, and act. It blends statistics, machine learning, and robotics to deliver following outcomes: Prediction: The application of statistical modelling and machine learning techniques to anticipate future outcomes, such as detecting fraudulent transactions. Automation: The utilisation of robotics and artificial intelligence to streamline and execute routine processes, exemplified by automated invoice processing. Augmentation: The enhancement of human decision-making and operational capabilities through AI-driven tools, for instance, AI-assisted sales enablement. Artificial Intelligence: Core Capabilities and Market Outlook Key capabilities of AI include: Data-driven decision-making: Analysing large datasets to generate actionable insights and optimise outcomes. Anomaly detection: Identifying irregular patterns or deviations in data for risk mitigation and quality assurance. Visual interpretation: Processing and understanding visual inputs such as images and videos for applications like computer vision. Natural language understanding: Comprehending and interpreting human language to enable accurate information extraction and contextual responses. Conversational engagement: Facilitating human-like interactions through chatbots, virtual assistants, and dialogue systems. With the exponential growth of data, ML learning models and computing power. AI is advancing much faster and as According to industry analyst reports breakthroughs in deep learning and neural network architectures have enabled highly sophisticated applications across diverse sectors, including healthcare, finance, manufacturing, and retail. The global AI market is on a trajectory of significant expansion, projected to increase nearly 5X by 2030, from $391 billion in 2025 to $1.81 trillion. This growth corresponds to a compound annual growth rate (CAGR) of 35.9% during the forecast period. These projections are estimates and subject to change as per rapid growth and advancement in the AI Era. AI and Cloud Synergy AI, and cloud computing form a powerful technological mixture. Digital assistants are offering scalable, cloud-powered intelligence. Cloud platforms such as Azure provide pre-trained models and services, enabling businesses to deploy AI solutions efficiently. Core AI Workloads Capabilities Machine Learning Machine learning (ML) underpins most AI systems by enabling models to learn from historical and real-time data to make predictions, classifications, and recommendations. These models adapt over time as they are exposed to new data, improving accuracy and robustness. Example use cases: Credit risk scoring in banking, demand forecasting in retail, and predictive maintenance in manufacturing. Anomaly Detection Anomaly detection techniques identify deviations from expected patterns in data, systems, or processes. This capability is critical for risk management and operational resilience, as it enables early detection of fraud, security breaches, or equipment failures. Example use cases: Fraud detection in financial transactions, network intrusion monitoring in cybersecurity, and quality control in industrial production. Natural Language Processing (NLP) NLP focuses on enabling machines to understand, interpret, and generate human language in both text and speech formats. This capability powers a wide range of applications that require contextual comprehension and semantic accuracy. Example use cases: Sentiment analysis for customer feedback, document summarisation for legal and compliance teams, and multilingual translation for global operations. Principles of Responsible AI To ensure ethical and trustworthy AI, organisations must embrace: Reliability & Safety Privacy & Security Inclusiveness Fairness Transparency Accountability These principles are embedded in frameworks like the Responsible-AI-Standard and reinforced by governance models such as Microsoft AI Governance Framework. Responsible AI Principles and Approach | Microsoft AI AI and Security AI introduces both opportunities and risks. A responsible approach to AI security involves three dimensions: Risk Mitigation: It Is addressing threats from immature or malicious AI applications. Security Applications: These are used to enhance AI security and public safety. Governance Systems: Establishing frameworks to manage AI risks and ensure safe development. Security Risks and Opportunities Due to AI Transformation AI’s transformative nature brings new challenges: Cybersecurity: This brings the opportunities and advancement to track, detect and act against Vulnerabilities in infrastructure and learning models. Data Security: This helps the tool and solutions such as Microsoft Purview to prevent data security by performing assessments, creating Data loss prevention policies applying sensitivity labels. Information Security: The biggest risk is securing the information and due to the AI era of transformation securing IS using various AI security frameworks. These concerns are echoed in The Crucial Role of Data Security Posture Management in the AI Era, which highlights insider threats, generative AI risks, and the need for robust data governance. AI in Security Applications AI’s capabilities in data analysis and decision-making enable innovative security solutions: Network Protection: applications include use of AI algorithms for intrusion detection, malware detection, security situational awareness, and threat early warning, etc. Data Management: applications refer to the use of AI technologies to achieve data protection objectives such as hierarchical classification, leak prevention, and leak traceability. Intelligent Security: applications refer to the use of AI technology to upgrade the security field from passive defence toward the intelligent direction, developing of active judgment and timely early warning. Financial Risk Control: applications use AI technology to improve the efficiency and accuracy of credit assessment, risk management, etc., and assisting governments in the regulation of financial transactions. AI Security Management Effective AI security requires: Regulations & Policies: Establish and safety management laws specifically designed to for governance by regulatory authorities and management policies for key application domains of AI and prominent security risks. Standards & Specifications: Industry-wide benchmarks, along with international and domestic standards can be used to support AI safety. Technological Methods: Early detection with Modern set of tools such as Defender for AI can be used to support to detect and mitigate and remediate AI threats. Security Assessments: Organization should use proper tools and platforms for evaluating AI risks and perform assessments regularly using automated tools approach Conclusion AI is transforming how organizations operate, innovate, and secure their environments. As AI capabilities evolve, integrating security and governance considerations from the outset remains critical. By combining responsible AI principles, effective governance, and appropriate security measures, organizations can work toward deploying AI technologies in a manner that supports both innovation and trust. Industry projections suggest continued growth in AI‑related security investments over the coming years, reflecting increased focus on managing AI risks alongside its benefits. These estimates are subject to change and should be interpreted in the context of evolving technologies and regulatory developments. Disclaimer References to Microsoft products and frameworks are for informational purposes only and do not imply endorsement, guarantee, or contractual commitment. Market projections referenced are based on publicly available industry analyses and are subject to change.Security as the core primitive - Securing AI agents and apps
This week at Microsoft Ignite, we shared our vision for Microsoft security -- In the agentic era, security must be ambient and autonomous, like the AI it protects. It must be woven into and around everything we build—from silicon to OS, to agents, apps, data, platforms, and clouds—and throughout everything we do. In this blog, we are going to dive deeper into many of the new innovations we are introducing this week to secure AI agents and apps. As I spend time with our customers and partners, there are four consistent themes that have emerged as core security challenges to secure AI workloads. These are: preventing agent sprawl and access to resources, protecting against data oversharing and data leaks, defending against new AI threats and vulnerabilities, and adhering to evolving regulations. Addressing these challenges holistically requires a coordinated effort across IT, developers, and security leaders, not just within security teams and to enable this, we are introducing several new innovations: Microsoft Agent 365 for IT, Foundry Control Plane in Microsoft Foundry for developers, and the Security Dashboard for AI for security leaders. In addition, we are releasing several new purpose-built capabilities to protect and govern AI apps and agents across Microsoft Defender, Microsoft Entra, and Microsoft Purview. Observability at every layer of the stack To facilitate the organization-wide effort that it takes to secure and govern AI agents and apps – IT, developers, and security leaders need observability (security, management, and monitoring) at every level. IT teams need to enable the development and deployment of any agent in their environment. To ensure the responsible and secure deployment of agents into an organization, IT needs a unified agent registry, the ability to assign an identity to every agent, manage the agent’s access to data and resources, and manage the agent’s entire lifecycle. In addition, IT needs to be able to assign access to common productivity and collaboration tools, such as email and file storage, and be able to observe their entire agent estate for risks such as over-permissioned agents. Development teams need to build and test agents, apply security and compliance controls by default, and ensure AI models are evaluated for safety guardrails and security vulnerabilities. Post deployment, development teams must observe agents to ensure they are staying on task, accessing applications and data sources appropriately, and operating within their cost and performance expectations. Security & compliance teams must ensure overall security of their AI estate, including their AI infrastructure, platforms, data, apps, and agents. They need comprehensive visibility into all their security risks- including agent sprawl and resource access, data oversharing and leaks, AI threats and vulnerabilities, and complying with global regulations. They want to address these risks by extending their existing security investments that they are already invested in and familiar with, rather than using siloed or bolt-on tools. These teams can be most effective in delivering trustworthy AI to their organizations if security is natively integrated into the tools and platforms that they use every day, and if those tools and platforms share consistent security primitives such as agent identities from Entra; data security and compliance controls from Purview; and security posture, detections, and protections from Defender. With the new capabilities being released today, we are delivering observability at every layer of the AI stack, meeting IT, developers, and security teams where they are in the tools they already use to innovate with confidence. For IT Teams - Introducing Microsoft Agent 365, the control plane for agents, now in preview The best infrastructure for managing your agents is the one you already use to manage your users. With Agent 365, organizations can extend familiar tools and policies to confidently deploy and secure agents, without reinventing the wheel. By using the same trusted Microsoft 365 infrastructure, productivity apps, and protections, organizations can now apply consistent and familiar governance and security controls that are purpose-built to protect against agent-specific threats and risks. gement and governance of agents across organizations Microsoft Agent 365 delivers a unified agent Registry, Access Control, Visualization, Interoperability, and Security capabilities for your organization. These capabilities work together to help organizations manage agents and drive business value. The Registry powered by the Entra provides a complete and unified inventory of all the agents deployed and used in your organization including both Microsoft and third-party agents. Access Control allows you to limit the access privileges of your agents to only the resources that they need and protect their access to resources in real time. Visualization gives organizations the ability to see what matters most and gain insights through a unified dashboard, advanced analytics, and role-based reporting. Interop allows agents to access organizational data through Work IQ for added context, and to integrate with Microsoft 365 apps such as Outlook, Word, and Excel so they can create and collaborate alongside users. Security enables the proactive detection of vulnerabilities and misconfigurations, protects against common attacks such as prompt injections, prevents agents from processing or leaking sensitive data, and gives organizations the ability to audit agent interactions, assess compliance readiness and policy violations, and recommend controls for evolving regulatory requirements. Microsoft Agent 365 also includes the Agent 365 SDK, part of Microsoft Agent Framework, which empowers developers and ISVs to build agents on their own AI stack. The SDK enables agents to automatically inherit Microsoft's security and governance protections, such as identity controls, data security policies, and compliance capabilities, without the need for custom integration. For more details on Agent 365, read the blog here. For Developers - Introducing Microsoft Foundry Control Plane to observe, secure and manage agents, now in preview Developers are moving fast to bring agents into production, but operating them at scale introduces new challenges and responsibilities. Agents can access tools, take actions, and make decisions in real time, which means development teams must ensure that every agent behaves safely, securely, and consistently. Today, developers need to work across multiple disparate tools to get a holistic picture of the cybersecurity and safety risks that their agents may have. Once they understand the risk, they then need a unified and simplified way to monitor and manage their entire agent fleet and apply controls and guardrails as needed. Microsoft Foundry provides a unified platform for developers to build, evaluate and deploy AI apps and agents in a responsible way. Today we are excited to announce that Foundry Control Plane is available in preview. This enables developers to observe, secure, and manage their agent fleets with built-in security, and centralized governance controls. With this unified approach, developers can now identify risks and correlate disparate signals across their models, agents, and tools; enforce consistent policies and quality gates; and continuously monitor task adherence and runtime risks. Foundry Control Plane is deeply integrated with Microsoft’s security portfolio to provide a ‘secure by design’ foundation for developers. With Microsoft Entra, developers can ensure an agent identity (Agent ID) and access controls are built into every agent, mitigating the risk of unmanaged agents and over permissioned resources. With Microsoft Defender built in, developers gain contextualized alerts and posture recommendations for agents directly within the Foundry Control Plane. This integration proactively prevents configuration and access risks, while also defending agents from runtime threats in real time. Microsoft Purview’s native integration into Foundry Control Plane makes it easy to enable data security and compliance for every Foundry-built application or agent. This allows Purview to discover data security and compliance risks and apply policies to prevent user prompts and AI responses from safety and policy violations. In addition, agent interactions can be logged and searched for compliance and legal audits. This integration of the shared security capabilities, including identity and access, data security and compliance, and threat protection and posture ensures that security is not an afterthought; it’s embedded at every stage of the agent lifecycle, enabling you to start secure and stay secure. For more details, read the blog. For Security Teams - Introducing Security Dashboard for AI - unified risk visibility for CISOs and AI risk leaders, coming soon AI proliferation in the enterprise, combined with the emergence of AI governance committees and evolving AI regulations, leaves CISOs and AI risk leaders needing a clear view of their AI risks, such as data leaks, model vulnerabilities, misconfigurations, and unethical agent actions across their entire AI estate, spanning AI platforms, apps, and agents. 90% of security professionals, including CISOs, report that their responsibilities have expanded to include data governance and AI oversight within the past year. 1 At the same time, 86% of risk managers say disconnected data and systems lead to duplicated efforts and gaps in risk coverage. 2 To address these needs, we are excited to introduce the Security Dashboard for AI. This serves as a unified dashboard that aggregates posture and real-time risk signals from Microsoft Defender, Microsoft Entra, and Microsoft Purview. This unified dashboard allows CISOs and AI risk leaders to discover agents and AI apps, track AI posture and drift, and correlate risk signals to investigate and act across their entire AI ecosystem. For example, you can see your full AI inventory and get visibility into a quarantined agent, flagged for high data risk due to oversharing sensitive information in Purview. The dashboard then correlates that signal with identity insights from Entra and threat protection alerts from Defender to provide a complete picture of exposure. From there, you can delegate tasks to the appropriate teams to enforce policies and remediate issues quickly. With the Security Dashboard for AI, CISOs and risk leaders gain a clear, consolidated view of AI risks across agents, apps, and platforms—eliminating fragmented visibility, disconnected posture insights, and governance gaps as AI adoption scales. Best of all, there’s nothing new to buy. If you’re already using Microsoft security products to secure AI, you’re already a Security Dashboard for AI customer. Figure 5: Security Dashboard for AI provides CISOs and AI risk leaders with a unified view of their AI risk by bringing together their AI inventory, AI risk, and security recommendations to strengthen overall posture Together, these innovations deliver observability and security across IT, development, and security teams, powered by Microsoft’s shared security capabilities. With Microsoft Agent 365, IT teams can manage and secure agents alongside users. Foundry Control Plane gives developers unified governance and lifecycle controls for agent fleets. Security Dashboard for AI provides CISOs and AI risk leaders with a consolidated view of AI risks across platforms, apps, and agents. Added innovation to secure and govern your AI workloads In addition to the IT, developer, and security leader-focused innovations outlined above, we continue to accelerate our pace of innovation in Microsoft Entra, Microsoft Purview, and Microsoft Defender to address the most pressing needs for securing and governing your AI workloads. These needs are: Manage agent sprawl and resource access e.g. managing agent identity, access to resources, and permissions lifecycle at scale Prevent data oversharing and leaks e.g. protecting sensitive information shared in prompts, responses, and agent interactions Defend against shadow AI, new threats, and vulnerabilities e.g. managing unsanctioned applications, preventing prompt injection attacks, and detecting AI supply chain vulnerabilities Enable AI governance for regulatory compliance e.g. ensuring AI development, operations, and usage comply with evolving global regulations and frameworks Manage agent sprawl and resource access 76% of business leaders expect employees to manage agents within the next 2–3 years. 3 Widespread adoption of agents is driving the need for visibility and control, which includes the need for a unified registry, agent identities, lifecycle governance, and secure access to resources. Today, Microsoft Entra provides robust identity protection and secure access for applications and users. However, organizations lack a unified way to manage, govern, and protect agents in the same way they manage their users. Organizations need a purpose-built identity and access framework for agents. Introducing Microsoft Entra Agent ID, now in preview Microsoft Entra Agent ID offers enterprise-grade capabilities that enable organizations to prevent agent sprawl and protect agent identities and their access to resources. These new purpose-built capabilities enable organizations to: Register and manage agents: Get a complete inventory of the agent fleet and ensure all new agents are created with an identity built-in and are automatically protected by organization policies to accelerate adoption. Govern agent identities and lifecycle: Keep the agent fleet under control with lifecycle management and IT-defined guardrails for both agents and people who create and manage them. Protect agent access to resources: Reduce risk of breaches, block risky agents, and prevent agent access to malicious resources with conditional access and traffic inspection. Agents built in Microsoft Copilot Studio, Microsoft Foundry, and Security Copilot get an Entra Agent ID built-in at creation. Developers can also adopt Entra Agent ID for agents they build through Microsoft Agent Framework, Microsoft Agent 365 SDK, or Microsoft Entra Agent ID SDK. Read the Microsoft Entra blog to learn more. Prevent data oversharing and leaks Data security is more complex than ever. Information Security Media Group (ISMG) reports that 80% of leaders cite leakage of sensitive data as their top concern. 4 In addition to data security and compliance risks of generative AI (GenAI) apps, agents introduces new data risks such as unsupervised data access, highlighting the need to protect all types of corporate data, whether it is accessed by employees or agents. To mitigate these risks, we are introducing new Microsoft Purview data security and compliance capabilities for Microsoft 365 Copilot and for agents and AI apps built with Copilot Studio and Microsoft Foundry, providing unified protection, visibility, and control for users, AI Apps, and Agents. New Microsoft Purview controls safeguard Microsoft 365 Copilot with real-time protection and bulk remediation of oversharing risks Microsoft Purview and Microsoft 365 Copilot deliver a fully integrated solution for protecting sensitive data in AI workflows. Based on ongoing customer feedback, we’re introducing new capabilities to deliver real-time protection for sensitive data in M365 Copilot and accelerated remediation of oversharing risks: Data risk assessments: Previously, admins could monitor oversharing risks such as SharePoint sites with unprotected sensitive data. Now, they can perform item-level investigations and bulk remediation for overshared files in SharePoint and OneDrive to quickly reduce oversharing exposure. Data Loss Prevention (DLP) for M365 Copilot: DLP previously excluded files with sensitivity labels from Copilot processing. Now in preview, DLP also prevents prompts that include sensitive data from being processed in M365 Copilot, Copilot Chat, and Copilot agents, and prevents Copilot from using sensitive data in prompts for web grounding. Priority cleanup for M365 Copilot assets: Many organizations have org-wide policies to retain or delete data. Priority cleanup, now generally available, lets admins delete assets that are frequently processed by Copilot, such as meeting transcripts and recordings, on an independent schedule from the org-wide policies while maintaining regulatory compliance. On-demand classification for meeting transcripts: Purview can now detect sensitive information in meeting transcripts on-demand. This enables data security admins to apply DLP policies and enforce Priority cleanup based on the sensitive information detected. & bulk remediation Read the full Data Security blog to learn more. Introducing new Microsoft Purview data security capabilities for agents and apps built with Copilot Studio and Microsoft Foundry, now in preview Microsoft Purview now extends the same data security and compliance for users and Copilots to agents and apps. These new capabilities are: Enhanced Data Security Posture Management: A centralized DSPM dashboard that provides observability, risk assessment, and guided remediation across users, AI apps, and agents. Insider Risk Management (IRM) for Agents: Uniquely designed for agents, using dedicated behavioral analytics, Purview dynamically assigns risk levels to agents based on their risky handing of sensitive data and enables admins to apply conditional policies based on that risk level. Sensitive data protection with Azure AI Search: Azure AI Search enables fast, AI-driven retrieval across large document collections, essential for building AI Apps. When apps or agents use Azure AI Search to index or retrieve data, Purview sensitivity labels are preserved in the search index, ensuring that any sensitive information remains protected under the organization’s data security & compliance policies. For more information on preventing data oversharing and data leaks - Learn how Purview protects and governs agents in the Data Security and Compliance for Agents blog. Defend against shadow AI, new threats, and vulnerabilities AI workloads are subject to new AI-specific threats like prompt injections attacks, model poisoning, and data exfiltration of AI generated content. Although security admins and SOC analysts have similar tasks when securing agents, the attack methods and surfaces differ significantly. To help customers defend against these novel attacks, we are introducing new capabilities in Microsoft Defender that deliver end-to-end protection, from security posture management to runtime defense. Introducing Security Posture Management for agents, now in preview As organizations adopt AI agents to automate critical workflows, they become high-value targets and potential points of compromise, creating a critical need to ensure agents are hardened, compliant, and resilient by preventing misconfigurations and safeguarding against adversarial manipulation. Security Posture Management for agents in Microsoft Defender now provides an agent inventory for security teams across Microsoft Foundry and Copilot Studio agents. Here, analysts can assess the overall security posture of an agent, easily implement security recommendations, and identify vulnerabilities such as misconfigurations and excessive permissions, all aligned to the MITRE ATT&CK framework. Additionally, the new agent attack path analysis visualizes how an agent’s weak security posture can create broader organizational risk, so you can quickly limit exposure and prevent lateral movement. Introducing Threat Protection for agents, now in preview Attack techniques and attack surfaces for agents are fundamentally different from other assets in your environment. That’s why Defender is delivering purpose-built protections and detections to help defend against them. Defender is introducing runtime protection for Copilot Studio agents that automatically block prompt injection attacks in real time. In addition, we are announcing agent-specific threat detections for Copilot Studio and Microsoft Foundry agents coming soon. Defender automatically correlates these alerts with Microsoft’s industry-leading threat intelligence and cross-domain security signals to deliver richer, contextualized alerts and security incident views for the SOC analyst. Defender’s risk and threat signals are natively integrated into the new Microsoft Foundry Control Plane, giving development teams full observability and the ability to act directly from within their familiar environment. Finally, security analysts will be able to hunt across all agent telemetry in the Advanced Hunting experience in Defender, and the new Agent 365 SDK extends Defender’s visibility and hunting capabilities to third-party agents, starting with Genspark and Kasisto, giving security teams even more coverage across their AI landscape. To learn more about how you can harden the security posture of your agents and defend against threats, read the Microsoft Defender blog. Enable AI governance for regulatory compliance Global AI regulations like the EU AI Act and NIST AI RMF are evolving rapidly; yet, according to ISMG, 55% of leaders report lacking clarity on current and future AI regulatory requirements. 5 As enterprises adopt AI, they must ensure that their AI innovation aligns with global regulations and standards to avoid costly compliance gaps. Introducing new Microsoft Purview Compliance Manager capabilities to stay ahead of evolving AI regulations, now in preview Today, Purview Compliance Manager provides over 300 pre-built assessments for common industry, regional, and global standards and regulations. However, the pace of change for new AI regulations requires controls to be continuously re-evaluated and updated so that organizations can adapt to ongoing changes in regulations and stay compliant. To address this need, Compliance Manager now includes AI-powered regulatory templates. AI-powered regulatory templates enable real-time ingestion and analysis of global regulatory documents, allowing compliance teams to quickly adapt to changes as they happen. As regulations evolve, the updated regulatory documents can be uploaded to Compliance Manager, and the new requirements are automatically mapped to applicable recommended actions to implement controls across Microsoft Defender, Microsoft Entra, Microsoft Purview, Microsoft 365, and Microsoft Foundry. Automated actions by Compliance Manager further streamline governance, reduce manual workload, and strengthen regulatory accountability. Introducing expanded Microsoft Purview compliance capabilities for agents and AI apps now in preview Microsoft Purview now extends its compliance capabilities across agent-generated interactions, ensuring responsible use and regulatory alignment as AI becomes deeply embedded across business processes. New capabilities include expanded coverage for: Audit: Surface agent interactions, lifecycle events, and data usage with Purview Audit. Unified audit logs across user and agent activities, paired with traceability for every agent using an Entra Agent ID, support investigation, anomaly detection, and regulatory reporting. Communication Compliance: Detect prompts sent to agents and agent-generated responses containing inappropriate, unethical, or risky language, including attempts to manipulate agents into bypassing policies, generating risky content, or producing noncompliant outputs. When issues arise, data security admins get full context, including the prompt, the agent’s output, and relevant metadata, so they can investigate and take corrective action Data Lifecycle Management: Apply retention and deletion policies to agent-generated content and communication flows to automate lifecycle controls and reduce regulatory risk. Read about Microsoft Purview data security for agents to learn more. Finally, we are extending our data security, threat protection, and identity access capabilities to third-party apps and agents via the network. Advancing Microsoft Entra Internet Access Secure Web + AI Gateway - extend runtime protections to the network, now in preview Microsoft Entra Internet Access, part of the Microsoft Entra Suite, has new capabilities to secure access to and usage of GenAI at the network level, marking a transition from Secure Web Gateway to Secure Web and AI Gateway. Enterprises can accelerate GenAI adoption while maintaining compliance and reducing risk, empowering employees to experiment with new AI tools safely. The new capabilities include: Prompt injection protection which blocks malicious prompts in real time by extending Azure AI Prompt Shields to the network layer. Network file filtering which extends Microsoft Purview to inspect files in transit and prevents regulated or confidential data from being uploaded to unsanctioned AI services. Shadow AI Detection that provides visibility into unsanctioned AI applications through Cloud Application Analytics and Defender for Cloud Apps risk scoring, empowering security teams to monitor usage trends, apply Conditional Access, or block high-risk apps instantly. Unsanctioned MCP server blocking prevents access to MCP servers from unauthorized agents. With these controls, you can accelerate GenAI adoption while maintaining compliance and reducing risk, so employees can experiment with new AI tools safely. Read the Microsoft Entra blog to learn more. As AI transforms the enterprise, security must evolve to meet new challenges—spanning agent sprawl, data protection, emerging threats, and regulatory compliance. Our approach is to empower IT, developers, and security leaders with purpose-built innovations like Agent 365, Foundry Control Plane, and the Security Dashboard for AI. These solutions bring observability, governance, and protection to every layer of the AI stack, leveraging familiar tools and integrated controls across Microsoft Defender, Microsoft Entra, and Microsoft Purview. The future of security is ambient, autonomous, and deeply woven into the fabric of how we build, deploy, and govern AI systems. Explore additional resources Learn more about Security for AI solutions on our webpage Learn more about Microsoft Agent 365 Learn more about Microsoft Entra Agent ID Get started with Microsoft 365 Copilot Get started with Microsoft Copilot Studio Get started with Microsoft Foundry Get started with Microsoft Defender for Cloud Get started with Microsoft Entra Get started with Microsoft Purview Get started with Microsoft Purview Compliance Manager Sign up for a free Microsoft 365 E5 Security Trial and Microsoft Purview Trial 1 Bedrock Security, 2025 Data Security Confidence Index, published Mar 17, 2025. 2 AuditBoard & Ascend2, Connected Risk Report 2024; as cited by MIT Sloan Management Review, Spring 2025. 3 KPMG AI Quarterly Pulse Survey | Q3 2025. September 2025. n= 130 U.S.-based C-suite and business leaders representing organizations with annual revenue of $1 billion or more 4 First Annual Generative AI study: Business Rewards vs. Security Risks, , Q3 2023, ISMG, N=400 5 First Annual Generative AI study: Business Rewards vs. Security Risks, Q3 2023, ISMG, N=400Secure and govern AI apps and agents with Microsoft Purview
The Microsoft Purview family is here to help you secure and govern data across third party IaaS and Saas, multi-platform data environment, while helping you meet compliance requirements you may be subject to. Purview brings simplicity with a comprehensive set of solutions built on a platform of shared capabilities, that helps keep your most important asset, data, safe. With the introduction of AI technology, Purview also expanded its data coverage to include discovering, protecting, and governing the interactions of AI apps and agents, such as Microsoft Copilots like Microsoft 365 Copilot and Security Copilot, Enterprise built AI apps like Chat GPT enterprise, and other consumer AI apps like DeepSeek, accessed through the browser. To help you view, investigate interactions with all those AI apps, and to create and manage policies to secure and govern them in one centralized place, we have launched Purview Data Security Posture Management (DSPM) for AI. You can learn more about DSPM for AI here with short video walkthroughs: Learn how Microsoft Purview Data Security Posture Management (DSPM) for AI provides data security and compliance protections for Copilots and other generative AI apps | Microsoft Learn Purview capabilities for AI apps and agents To understand our current set of capabilities within Purview to discover, protect, and govern various AI apps and agents, please refer to our Learn doc here: Microsoft Purview data security and compliance protections for Microsoft 365 Copilot and other generative AI apps | Microsoft Learn Here is a quick reference guide for the capabilities available today: Note that currently, DLP for Copilot and adhering to sensitivity label are currently designed to protect content in Microsoft 365. Thus, Security Copilot and Copilot in Fabric, along with Copilot studio custom agents that do not use Microsoft 365 as a content source, do not have these features available. Please see list of AI sites supported by Microsoft Purview DSPM for AI here Conclusion Microsoft Purview can help you discover, protect, and govern the prompts and responses from AI applications in Microsoft Copilot experiences, Enterprise AI apps, and other AI apps through its data security and data compliance solutions, while allowing you to view, investigate, and manage interactions in one centralized place in DSPM for AI. Follow up reading Check out the deployment guides for DSPM for AI How to deploy DSPM for AI - https://aka.ms/DSPMforAI/deploy How to use DSPM for AI data risk assessment to address oversharing - https://aka.ms/dspmforai/oversharing Address oversharing concerns with Microsoft 365 blueprint - aka.ms/Copilot/Oversharing Explore the Purview SDK Microsoft Purview SDK Public Preview | Microsoft Community Hub (blog) Microsoft Purview documentation - purview-sdk | Microsoft Learn Build secure and compliant AI applications with Microsoft Purview (video) References for DSPM for AI 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 Block Users From Sharing Sensitive Information to Unmanaged AI Apps Via Edge on Managed Devices (preview) | Microsoft Learn as part of Scenario 7 of Create and deploy a data loss prevention policy | 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 Explore the roadmap for DSPM for AI Public roadmap for DSPM for AI - Microsoft 365 Roadmap | Microsoft 365PMPur
