Accelerate Your Security Copilot Readiness with Our Global Technical Workshop Series
The Security Copilot team delivers free, hands-on virtual technical workshops for practitioners looking to build AI-for-Security expertise across Microsoft Entra, Intune, Purview, and Threat Protection. These sessions help you onboard, configure, and operationalize Security Copilot—including working with agents—in real-world scenarios. Offered year-round across multiple time zones, they’re led by Microsoft engineering experts and focused on 100% technical, scenario-driven learning through demos, labs, and live Q&A. These workshops are ideal for Security Architects & Engineers, SOC Analysts, Identity & Access Management Engineers, Endpoint & Device Admins, Compliance & Risk Practitioners, Partner Technical Consultants and Customer technical teams adopting AI powered defense. Register now! Below is the schedule of global live deliveries as well as recorded versions of all Security Copilot Virtual Workshops. Join a live workshop: Start building Security Copilot skills—choose the product area and time zone that works best for you. Please take note of pre-requisites for each workshop in the registration page. Please note at the moment we are not able to accept participants from Russia, China and North Korea. Security Copilot Virtual Workshop: Copilot in Defender North America time zone May 27, 2026 at 8:00-9:30 AM (PST) - register here June 24, 2026 at 8:00-9:30 Am (PST) - register here Asia Pacific time zone May 27, 2026 - register here June 24, 2026 - register here Security Copilot Virtual Workshop: Copilot in Entra North America time zone June 17, 2026 at 8:00-9:30 AM (PST) - register here Asia Pacific time zone June 18, 2026 - register here Security Copilot Virtual Workshop: Copilot in Intune North America time zone June 3, 2026 at 8:00-9:30 AM (PST) - register here July 1, 2026 at 8:00-9:30 AM (PST) - register here July 29, 2026 at 8:00-9:30 AM (PST) -register here August 26, 2026 at 8:00-9:30 AM (PST) -register here September 23, 2026 at 8:00-9:30 AM (PST) -register here Asia Pacific time zone June 4, 2026 - register here July 2, 2026 - register here July 30, 2026 -register here August 27, 2026 -register here Security Copilot Virtual Workshop: Copilot in Purview North America time zone June 10, 2026 at 8:00-9:30 AM (PST) - register here July 8, 2026 at 8:00-9:30 AM (PST) - register here August 5, 2026 at 8:00-9:30 AM (PST) -register here September 2, 2026 at 8:00-9:30 AM (PST) -register here Asia Pacific time zone June 11, 2026 - register here July 9, 2026 -register here August 6, 2026 -register here September 3, 2026 -register here October 1, 2026 -register here Can't join live? No problem! Access the recordings and workshop guides Copilot in Defender workshop recording Workshop guide Copilot in Purview workshop recording Workshop guide Copilot in Entra workshop recording Workshop guide Copilot in Intune workshop recording Workshop guide Learn and Engage with the Microsoft Security Community Log in and follow this Microsoft Security Community Blog and post/ interact in the Microsoft Security Community discussion spaces. Follow = Click the heart in the upper right when you're logged in 🤍 Join the Microsoft Security Community and be notified of upcoming events, product feedback surveys, and more. Get early access to Microsoft Security products and provide feedback to engineers by joining the Microsoft Security Advisors.. Learn about the Microsoft MVP Program. Join the Microsoft Security Community LinkedIn and the Microsoft Entra Community LinkedInSafeguarding Sensitive Data in Microsoft 365 Copilot Interactions: DLP for Microsoft 365 Copilot
Microsoft 365 Copilot is redefining how organizations work, bringing the power of generative AI directly into our secure productivity tools. As Copilot adoption accelerates, we’ve heard that you want more control over how your sensitive data can be used in interactions with Copilot. At Ignite 2025, Microsoft announced a major enhancement: Microsoft Purview Data Loss Prevention for Microsoft 365 Copilot to safeguard Microsoft 365 Copilot and Copilot Chat prompts, now entering General Availability. Even better, this capability is included for all users of Microsoft 365 Copilot and Copilot Chat. Why DLP for Copilot Prompts Is a Game-Changer As organizations adopt Copilot, their ways of sharing, creating, and interacting with data expand. With just a prompt, users can have Copilot summarize documents, analyze spreadsheets, or help brainstorm presentations. However, it raises an important question: what if the prompt includes sensitive information, like project code names, financial account numbers, health records, or other sensitive data? Over the last 2 years, Microsoft has been building a set of Data Loss Prevention (DLP) controls specifically designed for Copilot. Below is a quick overview of these related capabilities — ranging from already available to newly in preview — before we dive deep into today's GA announcement: Prevent Copilot processing of files & emails based on sensitivity labels In November 2024, Microsoft introduced the ability to create a DLP policy to restrict Microsoft 365 Copilot and Copilot Chat from processing sensitive files and emails using Sensitivity Labels for grounding data. This capability gives you control over whether content with the sensitivity labels you specify is restricted from being used in Microsoft 365 Copilot and Copilot Chat to generate summaries and responses. Prevent web searches for prompts containing Sensitive Information Types (SITs) The latest feature entering Public Preview is DLP for Microsoft 365 Copilot and Copilot Chat to prevent web searches for prompts containing sensitive data. This real-time control helps organizations mitigate data leakage and oversharing risks by preventing Microsoft 365 Copilot and agents from using sensitive data for external web searches. If a sensitive information type (SIT) is detected in a user prompt, Copilot can still leverage your enterprise data to form a response without sending the sensitive data to external search engines for web grounding. This capability extends to Microsoft 365 Copilot and agents built in Copilot Studio that are published to Microsoft 365 Copilot. DLP to Safeguard Copilot Prompts with Sensitive Information Types (SITs) The rest of this blog focuses on a key addition to this capability set: DLP for Microsoft 365 Copilot + Copilot Chat prompts to prevent processing of prompts containing sensitive information, now entering General Availability. Unlike the web search capability above, which prevents sensitive data from being sent externally during a web query, this capability evaluates the user’s text input directly, before processing occurs, to determine whether both enterprise data and web grounding can proceed. This feature uses Sensitive Information Types (SITs) as a condition within a Purview DLP policy to assess whether a user prompt sent to Copilot contains sensitive data, even if the data is unlabeled. With DLP for Copilot prompts, a user’s text input is scanned in real time for SITs, whether built-in (like Social Security Numbers, credit card numbers, etc.) or custom-defined by your organization (such as confidential terms or project names). If a text prompt contains one of the SITs you specify, Copilot restricts processing, halts any Graph or web grounding, and displays a clear message to the end user that the request cannot be completed. A user enters a prompt in Microsoft 365 Copilot Chat containing sensitive information. How DLP for Copilot Protects Prompts: Real-Time, Intelligent Protection The new DLP capability integrates seamlessly with Microsoft Purview, leveraging its powerful data classification & detection engine for sensitive information types. Here’s how it works: Input: When a user submits a prompt, Copilot checks the prompt for sensitive information using built-in or organization-defined sensitive information types (SITs). Immediate Action: If a SIT is detected, Copilot restricts the prompt from being processed. No AI response is generated, and no data is sent for Graph or web grounding. Output: Users receive a clear notification that their request cannot be completed due to company policies. This real-time protection ensures that sensitive data is not leaked or overshared, even as users explore new ways to work with AI. Setting Up DLP for Copilot Prompts: Data Security Admin Experience The easiest way to get started is through the new Microsoft Purview Data Security Posture Management (DSPM) portal, which provides a guided, one-click setup experience: 1. In Purview, go to Solutions > DSPM (preview) 2. Select the "Prevent data exposure in Microsoft 365 Copilot and Microsoft Copilot interactions" objective. 3. Follow the guided workflow and apply the recommended one-click DLP policy. The policy starts in simulation mode so you can review activity before enforcing it. Alternatively, you can configure and customize this policy directly from the Purview DLP portal Policies page or enable it from the Microsoft 365 Admin Center. view the remediation plan. view policy details and review. Then click the button, create a custom policy in DLP simulation mode to protect sensitive data referenced in Microsoft 365 Copilot and Microsoft Copilot. the confidence level and instance count. Practical Scenarios: Protecting What Matters Most Protect PII, financial data, and intellectual property: Financial institutions can block prompts containing deal terms, account numbers, or other sensitive data, preventing leaks through AI interactions. Similarly, healthcare organizations can safeguard patient information, and manufacturers can secure intellectual property and trade secrets from exposure, along with many other practical use cases. Once the prompt is detected and blocked, Microsoft Graph grounding and Bing web grounding is restricted. Safeguard sensitive non-public information: Imagine an organization involved in a confidential merger. By using DLP for Copilot prompts, administrators can set up a custom SIT that includes the project’s code name. If a user asks Copilot about the merger using the project’s code name, their request will be blocked, keeping sensitive information secure and protected. Visibility into DLP for M365 Copilot Prompts When a user’s prompt triggers a DLP policy, notifications and alerts are surfaced directly in the Microsoft Purview and Defender portals for security administrators. These alerts provide detailed information about which policy was activated, the type of sensitive information detected, and the context of the attempted Copilot interaction. Using these alert queues in Purview and Defender XDR, administrators can efficiently track policy activity, investigate potential incidents, and refine DLP rules to better align with organizational needs. The ability to review historical alerts and track ongoing enforcement empowers admins to maintain strong data security and proactively safeguard sensitive information. Defender XDR portal investigation of prompt DLP based incident. Takeaways The introduction of this latest enhancement to DLP for Copilot represents a key advancement in secure Copilot deployment and adoption. By empowering organizations to block sensitive data at the prompt level, Microsoft is helping customers unlock the full potential of Copilot, without compromising security or compliance. This innovation reflects Microsoft’s commitment to responsible AI, continuous improvement, and customer-driven development. As Copilot evolves, so will the tools to protect your data, ensuring that productivity and security go hand in hand. For more details, stay tuned for updates to the Product Roadmap and Learn documentation. Learn about using DLP to protect interactions with Microsoft 365 Copilot and Copilot Chat Learn about the default DLP policy for Microsoft 365 Copilot location | Microsoft Learn Permissions to create or edit a DLP policy to safeguard Microsoft 365 Copilot and Copilot Chat Learn about the new Microsoft Purview Data Security Posture Management (DSPM) | Microsoft Learn Roadmap Item: DLP for Microsoft 365 Copilot to safeguard prompts Roadmap Item: DLP to safeguard web search in Microsoft 365 Copilot
I just want to secure AI. DLP vs Info Protection vs DSPM vs Governance vs...
I'm with an MSP, and I've avoided Purview like the plague, because it seems to be suffering from the same 'made by marketing teams' 'strategy' the 365 documentation is. However, it's my understanding Purview policies are needed for Data control of Copilot. Here's my issue: all of these different 'solutions' sound like the exact same thing, but are pitched as if they are something different. i'm going to post a couple of descriptions for these 'solutions' to illustrate this. 'discover, label, and protect sensitive and business-critical info' 'make sure your organization can identify, monitor, and protect sensitive info across the expanding Microsoft 365 landscape' 'discover and secure all your sensitive data across Microsoft 365 and non-365 data sources' 'Discover, label, and protect sensitive and business-critical info across your multicloud data estate.' I genuinely do not have time to figure out what each of these 'solutions' are, then figure out their policies, then their giant library of settings (below)... It's not even clear to me what's active NOW, considering we never licensed Purview - but somehow have been roped into it. It SEEMS like these are all variations of marketing terms, which all point to 3-4 actual technical implementations in obscure ways. Can someone advise on the ACTUAL technical policies we want to target and enable? Or just give some clarity? I've never felt so overwhelmed or disconnected from Microsoft's environment. We just want to secure our tenant's AI usage.Securing AI Agents End‑to‑End: Connecting Purview DSPM, Agent 365, and the AI Security Dashboard
The Challenge: Organizations deploying Microsoft Copilot and custom AI agents face a critical gap: security visibility is fragmented across data protection, identity governance, and threat detection tools. While Microsoft provides powerful capabilities through Purview Data Security Posture Management (DSPM), Agent 365, and the AI Security Dashboard, practitioners often struggle to understand how these components work together to deliver unified AI security posture management. This blog provides an architectural and operational blueprint for connecting these three pillars into a cohesive security framework that security architects can implement today. The Three Pillars: Capabilities Overview Microsoft Purview DSPM for AI Purview DSPM extends data‑centric security controls to AI interactions. Its key capabilities include: Sensitivity labels with EXTRACT usage rights that govern whether AI agents can read and process sensitive content Data Loss Prevention (DLP) policies that block or audit AI interactions involving confidential data across Copilot, SharePoint, OneDrive, and Teams Comprehensive audit logging that captures AI‑to‑data interactions, including user identity, agent identity, data classification, and the action taken Insider Risk Management integration that detects anomalous agent behavior patterns, such as bulk or unusual data access DSPM operates at the data layer, answering a foundational question: What sensitive information can this agent access, and what is it doing with that data? Microsoft Agent 365 Agent 365 provides a unified control plane for governing AI agent identity, access, and lifecycle across the Microsoft 365 ecosystem. Core components include: Agent Registry, backed by Entra Agent IDs, providing a unique identity for every Copilot Studio agent, custom agent, and supported third‑party AI integration Conditional Access policies that enforce real‑time access controls based on agent identity, user context, device compliance, and risk signals Centralized observability, with dashboards showing agent‑to‑agent interactions, agent‑to‑human conversations, and near real‑time telemetry Governance workflows that support agent approval, lifecycle management, suspension, and decommissioning Agent 365 operates at the identity and control layer, answering: Which agents exist, who authorized them, and what access boundaries are enforced? AI Security Dashboard The AI Security Dashboard aggregates security signals from Entra, Purview, and Defender to provide a unified risk view across all AI assets. It delivers: AI asset inventory, cataloging Copilot instances, custom agents, and third‑party models with associated risk context Misconfiguration detection, identifying agents with excessive permissions, missing conditional access policies, or DLP coverage gaps Attack path visualization, showing how compromised agents could pivot to sensitive data or escalate privileges Integration with Microsoft Security Copilot, enabling natural‑language investigation of AI security risks and incidents The Dashboard operates at the aggregation and recommendation layer, answering: What is my overall AI security posture, and where should remediation be prioritized? The Unified Architecture: How Signals Flow End-to-End Understanding the technical integration requires mapping how identity, data, and security signals flow across these three systems. Identity Foundation (Microsoft Entra): Every AI agent is assigned a unique Entra Agent ID at creation. This identity becomes the anchor for all security controls—conditional access policies in Agent 365, audit attribution in Purview, and risk correlation in the AI Security Dashboard. When a Copilot Studio agent is deployed, Entra automatically registers it with Agent 365 and propagates identity metadata to connected security services. Data Interaction Telemetry (Microsoft Purview): When an agent accesses SharePoint files, reads emails, or queries structured data, Purview captures detailed audit events that include agent identity, user context, data classification labels, and enforcement outcomes. These events flow into Purview’s unified audit log and are accessible through the Compliance portal, Microsoft Graph, and SIEM integrations. Crucially, Purview enforces sensitivity labels with EXTRACT usage rights—if a document is labeled Confidential without EXTRACT permission, the agent’s request is blocked before content reaches the AI model. Control Plane Enforcement (Agent 365): Agent 365 applies identity‑based governance by evaluating Entra signals and surfaced risk indicators. During policy evaluation, the control plane verifies whether the agent is registered, whether the invoking user satisfies authentication requirements, and whether recent signals (such as DLP violations) warrant blocking execution. Agent 365 also provides observability views that correlate agent activity with security events, helping administrators identify unmanaged or unauthorized (“shadow”) agents. Aggregated Risk View (AI Security Dashboard): The AI Security Dashboard correlates telemetry from: Entra — conditional access decisions, authentication anomalies, and privileged identity usage Purview — DLP violations, sensitivity label mismatches, and Insider Risk Management signals Defender — threat detections, application posture assessments, and suspicious activity indicators These signals are correlated by agent identity and time, then surfaced as risk cards with contextual severity and recommended remediation actions. The Dashboard does not replace the underlying tools; instead, it provides a consolidated view that helps teams focus on the most impactful risks. The diagram below illustrates how identity, data, and threat signals flow across the three AI security pillars. Figure 1: End‑to‑end AI security architecture. Enforcement happens at the data layer (Purview) and identity layer (Agent 365 via Entra). The AI Security Dashboard aggregates—rather than replaces—underlying security controls. From Architecture to Action: Telemetry & Enforcement Flow Understanding architecture is essential—but practitioners need to know when and where enforcement occurs during a real agent invocation. The sequence below illustrates runtime interaction between a user, an AI agent, and the three security pillars. The Critical Distinction: Two Enforcement Layers Enforcement occurs at two distinct points in the request lifecycle. First, Microsoft Entra validates agent identity and evaluates conditional access policies before execution begins. If the agent is not registered, if the user fails authentication requirements, or if policy conditions require blocking, execution is denied immediately. Second, when execution is permitted, Purview DSPM enforces data access controls inline. Every attempt to access documents, emails, or structured data is evaluated in real time. If a document is labeled Confidential without EXTRACT rights, Purview blocks the request and returns no sensitive content to the agent. Telemetry Generation Across the Stack Each step produces structured telemetry. Entra logs authentication attempts and policy decisions. Purview records AI interaction audit events, including enforcement outcomes. Agent 365 correlates identity and behavior signals to maintain agent posture and observability. These combined signals are surfaced in the AI Security Dashboard, which correlates activity across time and identity to present prioritized risk insights. Make the “where enforcement happens” distinction explicit (data vs. identity). Figure 2: Purview enforces data controls inline, Agent 365 enforces identity and execution controls, and the AI Security Dashboard correlates signals for prioritization. Practitioner Scenario: Detecting and Blocking Agent Data Exposure Context: Your organization deploys a custom Copilot Studio agent to summarize sales proposals stored in SharePoint. Several documents contain customer PII labeled "Highly Confidential" with no EXTRACT usage rights granted. Incident Timeline: Agent Data Exposure Detection → Remediation Detection The agent attempts to access SharePoint files through Microsoft Graph. Purview DSPM evaluates sensitivity labels and identifies restricted documents. A DLP policy blocks access and logs a violation with full context. The audit event appears in the Purview unified audit log within minutes. Visibility Agent 365 flags the blocked interaction in its observability dashboard. The AI Security Dashboard surfaces a High‑severity risk card titled “Agent accessing restricted data.” Security teams investigate the agent using Security Copilot to determine scope and recurrence. Remediation An administrator applies an Entra conditional access policy to suspend the agent. Data permissions are adjusted to restrict access or explicitly grant EXTRACT rights where justified. The AI Security Dashboard reflects a reduced risk score once controls are validated. Outcome: The incident is contained quickly, audit evidence is preserved, and the agent is restored with least‑privilege access—without disrupting legitimate business workflows. Figure 3: A single DLP violation triggers coordinated detection, investigation, and remediation across Purview, Agent 365, and the AI Security Dashboard within 30 minutes. Division of Responsibility: What Each Tool Does Tool Primary Function Key Signals Enforcement Capability Purview DSPM Data-layer protection and audit Sensitivity labels, DLP violations, data access patterns Blocks API calls violating DLP or label policies Agent 365 Identity and lifecycle governance Agent registry, conditional access hits, observability telemetry Denies agent invocation based on Entra policies AI Security Dashboard Unified risk aggregation Cross-product signals from Entra, Purview, Defender No direct enforcement—provides recommendations and prioritization Critical Distinction: Enforcement happens at two layers—Purview blocks data access violations, while Agent 365 (via Entra) blocks agent invocation. The Dashboard does not enforce policies but accelerates investigation and remediation by correlating signals that would otherwise require manual analysis across three separate consoles. Key Takeaways for Practitioners Agent identity is the integration anchor. Every security control—DLP policies, conditional access, audit logs, risk scoring—relies on Entra Agent IDs. Ensure all agents are properly registered in Agent 365 before production deployment. Purview enforces at the data layer, Agent 365 at the identity layer. Use both—Purview prevents unauthorized data exfiltration, while Agent 365 prevents unauthorized agent execution. Neither is redundant. The AI Security Dashboard is for prioritization, not replacement. Continue using Purview Compliance Portal for detailed DLP investigations and Agent 365 registry for operational monitoring. Use the Dashboard to identify which risks warrant immediate attention. Audit logs are your ground truth. All three tools consume Purview audit events. Integrate these logs with Microsoft Sentinel or your SIEM for long-term retention and advanced threat hunting. Shadow agents are your blind spot. Regularly audit the Agent 365 registry against actual AI deployments (Copilot Studio, Azure OpenAI, third-party integrations) to identify unregistered instances. As AI agents become embedded in everyday work, security teams must move beyond feature‑level understanding and adopt an end‑to‑end enforcement mindset. The combination of Purview DSPM, Agent 365, and the AI Security Dashboard provides the building blocks—but value is realized only when they are implemented as a unified model. How are you governing AI agents in your environment today? Share your experiences and patterns in the comments—especially where identity, data, and security signals intersect.Agent 365 | Your Security & Compliance Controls
Block agent access to labeled files at runtime, stop sensitive data from leaving in agent-drafted emails, and catch agents that cross conduct lines using the same Microsoft Purview controls you already run for users. Map every risky agent action in Insider Risk Management, drill into Activity Explorer for interaction-level detail, and pull regulator-ready forensics from Purview Audit. Shilpa Ranganathan, Microsoft Purview Partner Group Squad Leader, shares how IT and data security teams can govern agent behavior on a single Agent 365 control plane built into the Microsoft tools that you're already using today. Block labeled files from agent access in real time. No policy bypass, no data leak. See how it works using Microsoft Purview as part of Agent 365. Same policies, now extended to agents. Purview DLP catches sensitive content and blocks the send. Watch it in action. Map the full chain of risky agent actions in one view. Insider Risk Management in Purview sequences sensitive file access & DLP blocks. See how it works. QUICK LINKS: 00:00 — Agent security, compliance, & IT 01:13 — IT & data security teams using Agent 365 02:22 — Visibility with Microsoft Purview 03:14 — End user perspective 04:05 — DLP on Agent-Initiated Messages 04:23 — Communication Compliance for Agent Behavior 04:50 — Data Security admin in the Purview portal 06:04 — Policy violations 06:39 — Purview Audit 07:06 — Microsoft 365 admin center 07:44 — Wrap up Link References Check out https://aka.ms/Agent365DataSecurity Unfamiliar with Microsoft Mechanics? As Microsoft’s official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast Keep getting this insider knowledge, join us on social: Follow us on Twitter: https://twitter.com/MSFTMechanics Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics Video Transcript: -How do you make sure agents don’t run unchecked across your environment? It starts with the right level of observability across security, compliance, and IT, insights that’s tailored to each team’s domain expertise, yet shared across teams, so issues can be identified early and addressed quickly when something goes wrong. This is where Agent 365 comes in to bring together security and IT teams so they can stay in control through a unified control plane, built to work with the Microsoft tools you already use. -Whether you’re viewing agents along with their configurations and high-level activities in the Microsoft 365 Admin Center, understanding agent activities and protecting sensitive information with Microsoft Purview, managing agent identities and permissions to apps, data, and resources with Microsoft Entra, or investigating and responding to incidents in Microsoft Defender, Agent 365 provides a common source of truth for agent activity, enabling teams to assess and respond to risks from their own domain expertise using the tools and workflows they know best. Today is the first episode in a series where we go deeper on using Agent 365 across your organization, starting with protecting your sensitive data. For example, if data isn’t properly classified and protected, AI, which uses powerful semantic search, can quickly surface information that was once hard to find, leading to data loss. -At the same time, it can potentially share it with the wrong people, and related other risks can escalate quickly. Microsoft Purview now extends the controls you have for users in your organization to agents so they stay aligned with your organization’s data security and compliance requirements. Let me show you how IT and data security teams can work together using Agent 365. Starting in Agent 365 in the Microsoft 365 Admin Center. As an IT admin, I can see a comprehensive list of agents in our organization. I can manage agent deployment requests to review the details for agent configurations and even leverage built-in security defaults for Agent 365 to quickly establish policy controls. -That said, as agents are used inside of your organization, Microsoft Purview, as part of the Agent 365 control plane, provides more granular controls with deeper visibility over data security. This includes rich AI observability, protection, and compliance. Right from Microsoft Purview, I can see agents running in my organization with the same left-to-right agent visibility we saw in the Microsoft 365 Admin Center. From Data Security Posture Management, or DSPM, for short, I can find key agent metrics and what’s important for data security, like which agents are active and their risk levels, whether they’re interacting with sensitive data, in which ways, along with interaction trends. I can also see if their activities are protected with sufficient policy coverage. -Let me show you an example of how this level of oversight and protection works, starting from the end user perspective. This is a custom, in-house-developed Zava supplier agent. It’s designed to review and summarize purchase orders for clients. Here, a member of the procurement team asks the agent to review a few linked purchase orders PDF files and check for delays and impacts. The reasoning agent gets to work almost immediately, providing a summary for the linked files. It then attempts to access a contract file to figure out the contractual impacts of any delays. -Now, because the contract has a label that the agent is not allowed to process, it stops and says that it cannot access the information contained in that file. This is Microsoft Purview enforcing least-privilege access in real time. Next, our same user asks the agent to email the summary to an external supplier. The agent tries, but Purview spots sensitive data in the message. In fact, if we move to Outlook and open the message, we can see that our sensitive information policies have blocked the email from being sent. Back in Teams, we can see that the same user is attempting to use the agent to draft an email that promises an exclusive gift incentive to fast track the PO approval. The agent stops again. It recognizes the request crosses ethical and compliance lines and explains why to our user. -Importantly, behind the scenes, Purview logs all activity as it happens and flags the interaction for review. In fact, let’s switch perspectives to the data security admin in the Purview portal after these activities have taken place. I’m back in DSPM under AI Observability with a view of my running agents. And on top of my list, Purview has flagged the supplier agent as high risk. Let’s drill into it. For that, I’m in insider risk management view for this activity. It maps out the sequence of events that our user and agent attempted to carry out, starting with sensitive file access in SharePoint, including the contract I mentioned. -Then the DLP policy block, which stopped the email summary from being sent to the external supplier. And, finally, the unethical behavior block when a user attempted to offer a gift in exchange for faster contract approval. All these activities raise the risk level of the agent, and each action is clearly outlined. To get more detailed context about the agent’s behavior, I can view the activity timeline, which links me directly into Activity Explorer in DSPM to see other interactions with this agent. It looks like there’s a mix of benign activity at the bottom of the list, and the higher risk activities for our user are at the top. All prompts and responses are evaluated against compliance policies and classifiers, and any matches are surfaced using the same investigation and remediation workflows you already use today. -In fact, you can find the details for agent policy violations across solutions in Microsoft Purview. For example, if your focus is on communication compliance, you can find the details for the agent interaction that was flagged as unethical. In this case, it matched the gifts and entertainment condition. And clicking in, you can see related matches for other sources too. And Purview Audit also captures every agent interaction, which you’ll find using an audit search. -Here we’ve searched across agent interactions that occurred between February 1st and March 1st for our agent, and you can see the exportable details for each interaction, including IP, user, agent, record, and activity details. So when a regulator asks: “How did this happen?” You can trace it instantly using Purview Audit. Of course, with Agent 365 at the foundation, everything is connected and integrated across the control plane. So now as an IT admin working in the Microsoft 365 Admin Center, I can see the agents running in our environment filtered by high risk, and there’s our supplier agent. In its details, under Security and Compliance, I can see it has performed a few risky activities. This is all signal that has been pulled in from Microsoft Purview as part of Agent 365. -From here, I can tune the agent configurations, including its permissions, or even block it all together from use. AI agents move fast, and without the right level of visibility and guardrails in place, they can easily access data they shouldn’t overshare, and even work against your company’s ethics. Agent 365 with Microsoft Purview keeps your agents in line, spots trouble before it happens, and makes sure that actions are recorded. -To learn more, check out aka.ms/Agent365DataSecurity. In the next episode of the series, we’ll explore Agent 365 with Microsoft Defender to investigate and respond to security incidents involving agentic activity. Subscribe to Microsoft Mechanics if you haven’t already, and thanks for watching.Ask Microsoft Anything: Purview Data Security Investigations Part 3
AMA: What’s New in Microsoft Purview Data Security Investigations Join us to learn about the latest updates to Microsoft Purview Data Security Investigations (DSI)—including new capabilities like the agentic credential scan in the Data Security Posture Agent. DSI helps security teams quickly uncover, investigate, and mitigate sensitive data risks hidden across their environment using AI‑powered deep content analysis. Whether responding to an active data security incident or proactively assessing data exposure, DSI enables teams to identify investigation‑relevant data, analyze it at scale with AI, and mitigate risk—all within a single, unified solution. By streamlining complex and time‑consuming investigative workflows, DSI helps organizations move from signal to insight in hours instead of weeks, giving security teams the speed, clarity, and confidence needed to address today’s evolving threat landscape. Join this AMA with the product team behind Microsoft Purview Data Security Investigations to hear about what’s new, see what’s coming next, and get your questions answered live.Security Dashboard for AI: 3 Ways CISOs Drive Impact Today
AI is reshaping the enterprise and, with it, the threat landscape. Today's organizations face new threats with AI agents that modify configurations, execute workflows, and access data without direct human oversight. As a result, the gap between AI adoption and AI governance is widening, and CISOs face growing challenges to maintain visibility, control, and compliance across an increasingly complex ecosystem. As AI becomes embedded across the enterprise, CISOs face four key challenges: Scale without visibility: Over 75% of enterprises surveyed by PWC report they are already adopting AI agents. ¹ At the same time, over 80% of security teams surveyed by Nokod report visibility gaps into the applications and AI agents created within their organization. ² Rapid AI proliferation and evolving regulations make unified visibility across AI platforms, apps, and agents critical for CISOs. Fragmentation: Organizations rely on multiple siloed tools for AI asset visibility, making oversight fragmented and inefficient. According to Gartner’s 2024 survey of 162 enterprises, organizations use 45 cybersecurity tools on average. Expanding AI risk: AI proliferation is rapidly increasing the attack and risk surface, with the surge of AI-generated identities. By 2027, 4 out of 5 organizations will face phishing attacks powered by AI-generated synthetic identities, according to IDC. ³ This makes it harder for CISOs to track emerging threats, unmanaged assets, and shifting risk patterns. Overload: Alert fatigue is now a top challenge, with organizations now receiving an average of 2,992 security alerts daily, yet 63% go unaddressed. ⁴ Increasing AI risk without a way to prioritize what matters most compounds pressure on CISOs. In conversations between Microsoft and CISOs, one common need emerged: a single place to view integrated AI risk across the enterprise. To address these growing challenges, we are excited to provide CISOs with the Security Dashboard for AI, which recently became generally available. This unified dashboard aggregates posture and real-time risk signals from Microsoft Defender, Entra, and Purview into one unified, executive-level view of AI posture, risk, and inventory across agents, apps, and platforms. The Security Dashboard for AI helps CISOs: Gain unified AI risk visibility: Discover AI agents and applications and continuously monitor posture across the environment Prioritize critical risks: Correlate signals across identity, data, and threat protection to surface the most urgent issues Drive risk mitigations: Investigate activity and take action to help reduce exposure across the AI ecosystem The dashboard is capable of aggregating and surfacing AI risks from across Microsoft Defender, Entra, Purview - including Microsoft 365 Copilot, Microsoft Copilot Studio agents, and Microsoft Foundry applications and agents as well as cross-platform AI risks with Microsoft network-based or SDK-enabled integrations, and MCP servers. This supports comprehensive visibility and control, regardless of where applications and agents are built. As you activate Microsoft Security for AI capabilities, you can gain richer visibility into different aspects of your AI risk posture. Figure 1: Security Dashboard for AI in browser Getting Started with the Security Dashboard for AI The Security Dashboard for AI is provided at no additional cost to customers already using Defender, Entra, and/or Purview to protect their AI innovation. Based on how early adopter CISOs are using the dashboard, here are three ways you can start leveraging the dashboard today. 1. Manage Daily AI Risk Beyond reporting, you must stay hands-on with AI risks, scanning for emerging issues, verifying asset governance, and delegating remediations. The Security Dashboard for AI consolidates daily operations into a single pane of glass, surfacing critical alerts, unmanaged assets, and emerging risks. Use the dashboard as a daily AI risk radar, enabling rapid triage and ensuring you focus on the most urgent threats. Scan and triage daily AI risk: Start each day by identifying and prioritizing the highest-risk AI exposures. Risks are prioritized on severity reported by underlying security tools, helping you focus on the most critical exposures. Track AI asset inventory and monitor agent sprawl: Use the Inventory page to gain comprehensive visibility into all AI assets. Identify newly registered assets to mitigate the risk of shadow or unmanaged IT and surface inactive agents to proactively monitor and control agent sprawl. Delegate tasks for remediation: Move from insight to action by delegating tasks to your security team with easy click delegation. Delegation routes ownership via email or Microsoft Teams with notifications, due date, and ownership tracking. Delegate actions to specific roles such as global admin and AI administrator, without granting full access to underlying tools. Figure 2: Security Dashboard for AI risk page 2. Guide Briefings with Security Teams You require up-to-date intelligence to guide conversations with Security Teams about what is happening across the AI estate. The Security Dashboard for AI helps you anchor discussions in specific risks, trends, and ownership gaps surfaced in the data. The dashboard becomes a conversation driver, helping you ask the right questions about risk and security posture, to help ensure you and your team are triaging the right priorities. Because the dashboard consolidates signals from Defender, Entra, and Purview, both CISO and security teams operate from the same facts, enabling more outcome-driven discussions and faster prioritization, so you can shift the conversations from status updates to targeted action planning. Prioritize top AI Risk: Use the dashboard to help you prioritize the AI risk that matters the most. In preparation for team meetings, use Microsoft Security Copilot to explore AI risks, agent activity, and security recommendations via prompts to strengthen your AI security posture. With your team, take a closer look at risk vectors like data leakage, oversharing and unethical behavior, and discuss what actions need to be taken. Review Security Recommendations: Create a routine with your security team to review the recommended Microsoft security actions and track your progress over time. Across regular team check‑ins, review what has been addressed, what remains open, and which actions require follow‑up so you are prepared to respond to regulatory, audit, or executive questions with up‑to‑date metrics. Figure 3: Security Dashboard for AI inventory page Figure 4: Security Dashboard for AI delegation 3. Executive Reporting Reporting to the board on AI security posture has historically meant weeks of manual data gathering across multiple tools. The Security Dashboard for AI streamlines the data collection process with a single source of truth for AI risk, enabling confident, data-backed insights for your board presentations and conversations. Early adopters confirm the value and are using it for quarterly executive briefings. Prepare for Board Discussions: Use the dashboard to help get the right insights at the right altitude to help you prepare for discussions with your board. The Overview page aggregates identity, data security, and threat protection signals from Defender, Entra, and Purview into an AI risk scorecard with risk factors. The embedded Security Copilot AI-powered insights provide suggested prompts with risk assessments, summaries, and recommendations to help you prioritize what matters most. Extend Observability to Executive Stakeholders: Authorize AI risk follow‑ups to the appropriate security, identity, or governance owners using Microsoft Teams or email. Distribute visibility across GRC lead, AI governance, and IT leaders, while maintaining executive‑level oversight. Figure 5: Security Dashboard for AI Copilot prompt gallery Next Steps The Security Dashboard for AI helps CISOs manage AI risk faster, more confidently and more collaboratively with their team. Defender, Entra, and Purview signals are surfaced in a single pane of glass, providing observability across your AI estate. Drive faster triage, use data to support board-level discussions about AI risk, and enable coordinated action with integrated insights, recommendations, and delegation to help accelerate remediation across existing security workflows. The Security Dashboard for AI is generally available now. If your organization uses Microsoft Defender, Entra, and/or Purview, you already have access, no additional licensing is required. Visit ai.security.microsoft.com to access the dashboard directly, or navigate to it from the Defender, Entra, or Purview portals. Learn more about the Security Dashboard for AI on the MS Learn page and the Security Dashboard for AI Security Blog. Discover new features in the Security Dashboard for AI such as the Security Reader role, new delegation flow, and new identity risk section here. ¹AI agent survey. PwC, May 2025 ²Security Teams Taking on Expanded AI Data Responsibilities. Bedrock Data, March 2025 ³IDC FutureScape: Worldwide Security and Trust 2026 Predictions, November 2025 ⁴2026 State of Threat Detection and Response Report. Vectra AI, February 2026Security Dashboard for AI - Now Generally Available
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 now generally available. 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, 2026Ask Microsoft Anything about the new Microsoft Purview Data Security Investigations
Microsoft Purview Data Security Investigations is a new solution that enables data security teams to identify incident-related data, investigate that data with generative AI-powered deep content analysis, and mitigate risk within one unified product. With its cutting-edge, generative AI-powered investigative capabilities, DSI transforms and scales how data security admins analyze incident-related data. DSI uncovers key security and sensitive data risks and facilitates secure collaboration between partner teams to mitigate those identified risks. This simplifies previously complex, time-consuming tasks – what once took months, can now be done in a fraction of the time. Join us for an AMA with the team that developed Microsoft Purview's newest solution! What is an AMA? An 'Ask Microsoft Anything' (AMA) session is an opportunity for you to engage directly with Microsoft employees! This AMA will consist of a short presentation followed by taking questions on-camera from the comment section down below! Ask your questions/give your feedback and we will have our awesome Microsoft Subject Matter Experts engaging and responding directly in the video feed. We know this timeslot might not work for everyone, so feel free to ask your questions at any time leading up to the event and the experts will do their best to answer during the live hour. This page will stay up so come back and use it as a resource anytime. We hope you enjoy!
Purview Data Map scanning Microsoft Fabric and no classifications applied or scan rule sets
Microsoft Purview cannot currently apply built-in or custom classifications (including sensitive information types) to metadata discovered from Microsoft Fabric workspace scans. While Purview can register Fabric workspaces and extract structural metadata (workspaces, Lakehouses, Warehouses, tables, columns, and limited lineage), classification rules are not executed against Fabric assets in the same way they are for supported sources such as Azure SQL, ADLS Gen2, or on-prem databases. This results in classification gaps across a core enterprise analytics platform. Why This Is a Significant Service Omission 1. Breaks the Core Value Proposition of Purview 2. Undermines Regulatory and Risk Management Controls 3. Creates an Inconsistent Governance Experience 4. Blocks Downstream Purview Capabilities 5. Forces Anti-Patterns and Workarounds The lack of automated classification support for Microsoft Fabric workspace data represents a material service omission in Microsoft Purview, significantly limiting its effectiveness as a unified data governance platform and introducing avoidable compliance, operational, and assurance risks—particularly in regulated environments. Are there plans to improve this and if so what are the timescales?
