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.
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.Microsoft Purview Data Governance - Authoring Custom Data Quality rules using expression languages
The cost of poor-quality data runs into millions of dollars in direct losses. When indirect costs—such as missed opportunities—are included, the total impact is many times higher. Poor data quality also creates significant societal costs. It can lead customers to pay higher prices for goods and services and force citizens to bear higher taxes due to inefficiencies and errors. In critical domains, the consequences can be severe. Defective or inaccurate data can result in injury or loss of life, for example due to medication errors or incorrect medical procedures, especially as healthcare increasingly relies on data- and AI-driven decision-making. Students may be unfairly denied admission to universities because of errors in entrance exam scoring. Consumers may purchase unsafe or harmful food products if nutritional labels are inaccurate or misleading. Research and industry measurements show that 20–35 percent of an organization’s operating revenue is often wasted on recovering from process failures, data defects, information scrap, and rework caused by poor data quality (Larry P. English, Information Quality Applied). Data Quality Rules To maintain high-quality data, organizations must continuously measure and monitor data quality and understand the negative impact of poor-quality data on their specific use cases. Data quality rules play a critical role in objectively measuring, enforcing, and quantifying data quality, enabling organizations to improve trust, reduce risk, and maximize the value of their data assets. Data Quality (DQ) rules define how data should be structured, related, constrained, and validated so it can be trusted for operational, analytical, and AI use cases. Data quality rules are essential guidelines that organizations establish to ensure the accuracy, consistency, and completeness of their data. These rules fall into four major categories: Business Entity rules, Business Attribute rules, Data Dependency rules, and Data Validity rules (Ref: Informit.com/articles). Business Entity Rules These rules ensure that core business objects (such as Customer, Order, Account, or Product) are well-defined and correctly related. Business entity rules prevent duplicate records, broken relationships, and incomplete business processes. Business Entity Rules Definition Example Uniqueness Every entity instance must be uniquely identifiable. Each customer must have a unique Customer ID that is never NULL. Duplicate customer records indicate poor data quality. Cardinality Defines how many instances of one entity can relate to another. One customer can place many orders (one-to-many), but an order belongs to exactly one customer. Optionality Defines whether a relationship is mandatory or optional. An order must be linked to a customer (mandatory), but a customer may exist without having placed any orders (optional). Business Attribute Rules These rules focus on individual data elements (columns/fields) within business entities. Attribute rules ensure consistency, interpretability, and prevent invalid or meaningless values. Business Attribute Rules Definition Example Data Inheritance Attributes defined in a supertype must be consistent across subtypes. An Account Number remains the same whether the account is Checking or Savings. Data Domains Attribute values must conform to allowed formats or ranges. · State Code must be one of the 50 U.S. state abbreviations · Age must be between 0 and 120 · Date must follow CCYY/MM/DD format Data Dependency Rules These rules define logical and conditional relationships between entities and attributes. Data dependency rules enforce business logic and prevent contradictory or illogical data states. Data Dependency Rules Definition Example Entity Relationship Dependency The existence of one relationship depends on another condition. Orders cannot be placed for customers with a “Delinquent” status. Attribute Dependency The value of one attribute depends on others. · If Loan Status = “Funded,” then Loan Amount > 0 and Funding Date is required · Pay Amount = Hours Worked × Hourly Rate · If Monthly Salary > 0, then Commission Rate must be NULL Data Validity Rules These rules ensure that actual data values are complete, correct, accurate, precise, unique, and consistent. Validity rules ensure data is trustworthy for reporting, regulatory compliance, and AI/ML models. Data Validity Rules Definition Example Completeness Required records, relationships, attributes, and values must exist. No NULLs in mandatory fields like Customer ID or Order Date. Correctness & Accuracy Values must reflect real-world truth and business rules. A customer’s credit limit must align with approved financial records. Precision Data must be stored with the required level of detail. Interest rates stored to four decimal places if required for calculations. Uniqueness No duplicate records, keys, definitions, or overloaded columns. A “Customer Type Code” column should not mix customer types and shipping methods. Consistency Duplicate or redundant data must match everywhere it appears. Customer address stored in multiple systems must be identical. Compliance PII and sensitive data Check and validate personal information like credit card, passport number, national id, bank account, etc. System Rules Microsoft Purview Data Quality provides both system (out-of-the-box) rules and custom rules, along with an AI-enabled data quality rule recommendation feature. Together, these capabilities help organizations effectively measure, monitor, and improve data quality by applying the right set of data quality rules. System (out-of-the-box) rules cover the majority of business attribute and data validity scenarios. List of the system rules are illustrated below (see the screenshot below). Custom Rules Custom rules allow you to define validations that evaluate one or more values within a row, enabling complex, context-aware data quality checks tailored to specific business requirements. Custom rules support all four major categories of data quality rules: Business Entity rules, Business Attribute rules, Data Dependency rules, and Data Validity rules. You can use regular expression language, Azure Data Factory expression, and SQL expression language to create custom rules. Purview Data Quality custom rule has three parts: Row expression: This Boolean expression applies to each row that the filter expression approves. If this expression returns true, the row passes. If it returns false, the row fails. Filter expression: This optional condition narrows down the dataset on which the row condition is evaluated. You activate it by selecting the Use filter expression checkbox. This expression returns a Boolean value. The filter expression applies to a row and if it returns true, then that row is considered for the rule. If the filter expression returns false for that row, then it means that row is ignored for the purposes of this rule. The default behavior of the filter expression is to pass all rows, so if you don't specify a filter expression, all rows are considered. Null expression: Checks how NULL values should be handled. This expression returns to a Boolean that handles cases where data is missing. If the expression returns true, the row expression isn't applied. Each part of the rule works similarly to existing Microsoft Purview Data Quality conditions. A rule only passes if the row expression evaluates to TRUE for the dataset that matches the filter expression and handles missing values as specified in the null expression. Examples: Ensure that the location of the salesperson is correct. Azure data factory expression language is used to author this rule. 2. Ensure "fare Amount" is positive and "trip Distance" is valid. SQL expression language is used to author this rule. 3. For each trip, check if the fare is above the average for its payment type. SQL expression language is used to author this rule. Together, above listed four categories of data quality rules: Prevent errors at the source Enforce business logic Improve trust in analytics and AI Reduce remediation costs downstream In short, high-quality data is not accidental—it is enforced through well-defined data quality rules across entities, attributes, relationships, and values. References Create Data Quality Rules in Unified Catalog | Microsoft Learn Expression builder in mapping data flows - Azure Data Factory & Azure Synapse | Microsoft Learn Expression Functions in the Mapping Data Flow - Azure Data Factory & Azure Synapse | Microsoft Learn http://www.informit.com/articles/article.aspx?p=399325&seqNum=3 Information Quality Applied, Larry P. EnglishFrom “No” to “Now”: A 7-Layer Strategy for Enterprise AI Safety
The “block” posture on Generative AI has failed. In a global enterprise, banning these tools doesn't stop usage; it simply pushes intellectual property into unmanaged channels and creates a massive visibility gap in corporate telemetry. The priority has now shifted from stopping AI to hardening the environment so that innovation can run at velocity without compromising data sovereignty. Traditional security perimeters are ineffective against the “slow bleed” of AI leakage - where data moves through prompts, clipboards, and autonomous agents rather than bulk file transfers. To secure this environment, a 7-layer defense-in-depth model is required to treat the conversation itself as the new perimeter. 1. Identity: The Only Verifiable Perimeter Identity is the primary control plane. Access to AI services must be treated with the same rigor as administrative access to core infrastructure. The strategy centers on enforcing device-bound Conditional Access, where access is strictly contingent on device health. To solve the "Account Leak" problem, the deployment of Tenant Restrictions v2 (TRv2) is essential to prevent users from signing into personal tenants using corporate-managed devices. For enhanced coverage, Universal Tenant Restrictions (UTR) via Global Secure Access (GSA) allows for consistent enforcement at the cloud edge. While TRv2 authentication-plane is GA, data-plane protection is GA for the Microsoft 365 admin center and remains in preview for other workloads such as SharePoint and Teams. 2. Eliminating the Visibility Gap (Shadow AI) You can’t secure what you can't see. Microsoft Defender for Cloud Apps (MDCA) serves to discover and govern the enterprise AI footprint, while Purview DSPM for AI (formerly AI Hub) monitors Copilot and third-party interactions. By categorizing tools using MDCA risk scores and compliance attributes, organizations can apply automated sanctioning decisions and enforce session controls for high-risk endpoints. 3. Data Hygiene: Hardening the “Work IQ” AI acts as a mirror of internal permissions. In a "flat" environment, AI acts like a search engine for your over-shared data. Hardening the foundation requires automated sensitivity labeling in Purview Information Protection. Identifying PII and proprietary code before assigning AI licenses ensures that labels travel with the data, preventing labeled content from being exfiltrated via prompts or unauthorized sharing. 4. Session Governance: Solving the “Clipboard Leak” The most common leak in 2025 is not a file upload; it’s a simple copy-paste action or a USB transfer. Deploying Conditional Access App Control (CAAC) via MDCA session policies allows sanctioned apps to function while specifically blocking cut/copy/paste. This is complemented by Endpoint DLP, which extends governance to the physical device level, preventing sensitive data from being moved to unmanaged USB storage or printers during an AI-assisted workflow. Purview Information Protection with IRM rounds this out by enforcing encryption and usage rights on the files themselves. When a user tries to print a "Do Not Print" document, Purview triggers an alert that flows into Microsoft Sentinel. This gives the SOC visibility into actual policy violations instead of them having to hunt through generic activity logs. 5. The “Agentic” Era: Agent 365 & Sharing Controls Now that we're moving from "Chat" to "Agents", Agent 365 and Entra Agent ID provide the necessary identity and control plane for autonomous entities. A quick tip: in large-scale tenants, default settings often present a governance risk. A critical first step is navigating to the Microsoft 365 admin center (Copilot > Agents) to disable the default “Anyone in organization” sharing option. Restricting agent creation and sharing to a validated security group is essential to prevent unvetted agent sprawl and ensure that only compliant agents are discoverable. 6. The Human Layer: “Safe Harbors” over Bans Security fails when it creates more friction than the risk it seeks to mitigate. Instead of an outright ban, investment in AI skilling-teaching users context minimization (redacting specifics before interacting with a model) - is the better path. Providing a sanctioned, enterprise-grade "Safe Harbor" like M365 Copilot offers a superior tool that naturally cuts down the use of Shadow AI. 7. Continuous Ops: Monitoring & Regulatory Audit Security is not a “set and forget” project, particularly with the EU AI Act on the horizon. Correlating AI interactions and DLP alerts in Microsoft Sentinel using Purview Audit (specifically the CopilotInteraction logs) data allows for real-time responses. Automated SOAR playbooks can then trigger protective actions - such as revoking an Agent ID - if an entity attempts to access sensitive HR or financial data. Final Thoughts Securing AI at scale is an architectural shift. By layering Identity, Session Governance, and Agentic Identity, AI moves from being a fragmented risk to a governed tool that actually works for the modern workplace.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 365PMPurMicrosoft Ignite 2025: Top Security Innovations You Need to Know
🤖 Security & AI -The Big Story This Year 2025 marks a turning point for cybersecurity. Rapid adoption of AI across enterprises has unlocked innovation but introduced new risks. AI agents are now part of everyday workflows-automating tasks and interacting with sensitive data—creating new attack surfaces that traditional security models cannot fully address. Threat actors are leveraging AI to accelerate attacks, making speed and automation critical for defense. Organizations need solutions that deliver visibility, governance, and proactive risk management for both human and machine identities. Microsoft Ignite 2025 reflects this shift with announcements focused on securing AI at scale, extending Zero Trust principles to AI agents, and embedding intelligent automation into security operations. As a Senior Cybersecurity Solution Architect, I’ve curated the top security announcements from Microsoft Ignite 2025 to help you stay ahead of evolving threats and understand the latest innovations in enterprise security. Agent 365: Control Plane for AI Agents Agent 365 is a centralized platform that gives organizations full visibility, governance, and risk management over AI agents across Microsoft and third-party ecosystems. Why it matters: Unmanaged AI agents can introduce compliance gaps and security risks. Agent 365 ensures full lifecycle control. Key Features: Complete agent registry and discovery Access control and conditional policies Visualization of agent interactions and risk posture Built-in integration with Defender, Entra, and Purview Available via the Frontier Program Microsoft Agent 365: The control plane for AI agents Deep dive blog on Agent 365 Entra Agent ID: Zero Trust for AI Identities Microsoft Entra is the identity and access management suite (covering Azure AD, permissions, and secure access). Entra Agent ID extends Zero Trust identity principles to AI agents, ensuring they are governed like human identities. Why it matters: Unmanaged or over-privileged AI agents can create major security gaps. Agent ID enforces identity governance on AI agents and reduces automation risks. Key Features: Provides unique identities for AI agents Lifecycle governance and sponsorship for agents Conditional access policies applied to agent activity Integrated with open SDKs/APIs for third‑party platforms Microsoft Entra Agent ID Overview Entra Ignite 2025 announcements Public Preview details Security Copilot Expansion Security Copilot is Microsoft’s AI assistant for security teams, now expanded to automate threat hunting, phishing triage, identity risk remediation, and compliance tasks. Why it matters: Security teams face alert fatigue and resource constraints. Copilot accelerates response and reduces manual effort. Key Features: 12 new Microsoft-built agents across Defender, Entra, Intune, and Purview. 30+ partner-built agents available in the Microsoft Security Store. Automates threat hunting, phishing triage, identity risk remediation, and compliance tasks. Included for Microsoft 365 E5 customers at no extra cost. Security Copilot inclusion in Microsoft 365 E5 Security Copilot Ignite blog Security Dashboard for AI A unified dashboard for CISOs and risk leaders to monitor AI risks, aggregate signals from Microsoft security services, and assign tasks via Security Copilot - included at no extra cost. Why it matters: Provides a single pane of glass for AI risk management, improving visibility and decision-making. Key Features: Aggregates signals from Entra, Defender, and Purview Supports natural language queries for risk insights Enables task assignment via Security Copilot Ignite Session: Securing AI at Scale Microsoft Security Blog Microsoft Defender Innovations Microsoft Defender serves as Microsoft’s CNAPP solution, offering comprehensive, AI-driven threat protection that spans endpoints, email, cloud workloads, and SIEM/SOAR integrations. Why It Matters Modern attacks target multi-cloud environments and software supply chains. These innovations provide proactive defense, reduce breach risks before exploitation, and extend protection beyond Microsoft ecosystems-helping organizations secure endpoints, identities, and workloads at scale. Key Features: Predictive Shielding: Proactively hardens attack paths before adversaries pivot. Automatic Attack Disruption: Extended to AWS, Okta, and Proofpoint via Sentinel. Supply Chain Security: Defender for Cloud now integrates with GitHub Advanced Security. What’s new in Microsoft Defender at Ignite Defender for Cloud innovations Global Secure Access & AI Gateway Part of Microsoft Entra’s secure access portfolio, providing secure connectivity and inspection for web and AI traffic. Why it matters: Protects against lateral movement and AI-specific threats while maintaining secure connectivity. Key Features: TLS inspection, URL/file filtering AI Prompt Injection protection Private access for domain controllers to prevent lateral movement attacks. Learn about Secure Web and AI Gateway for agents Microsoft Entra: What’s new in secure access on the AI frontier Purview Enhancements Microsoft Purview is the data governance and compliance platform, ensuring sensitive data is classified, protected, and monitored. Why it matters: Ensures sensitive data remains protected and compliant in AI-driven environments. Key Features: AI Observability: Monitor agent activities and prevent sensitive data leakage. Compliance Guardrails: Communication compliance for AI interactions. Expanded DSPM: Data Security Posture Management for AI workloads. Announcing new Microsoft Purview capabilities to protect GenAI agents Intune Updates Microsoft Intune is a cloud-based endpoint device management solution that secures apps, devices, and data across platforms. It simplifies endpoint security management and accelerates response to device risks using AI. Why it matters: Endpoint security is critical as organizations manage diverse devices in hybrid environments. These updates reduce complexity, speed up remediation, and leverage AI-driven automation-helping security teams stay ahead of evolving threats. Key Features: Security Copilot agents automate policy reviews, device offboarding, and risk-based remediation. Enhanced remote management for Windows Recovery Environment (WinRE). Policy Configuration Agent in Intune lets IT admins create and validate policies with natural language What’s new in Microsoft Intune at Ignite Your guide to Intune at Ignite Closing Thoughts Microsoft Ignite 2025 signals the start of an AI-driven security era. From visibility and governance for AI agents to Zero Trust for machine identities, automation in security operations, and stronger compliance for AI workloads-these innovations empower organizations to anticipate threats, simplify governance, and accelerate secure AI adoption without compromising compliance or control. 📘 Full Coverage: Microsoft Ignite 2025 Book of NewsEmpowering organizations with integrated data security: What’s new in Microsoft Purview
Today, data moves across clouds, apps, and devices at an unprecedented speed, often outside the visibility of siloed legacy tools. The rise of autonomous agents, generative AI, and distributed data ecosystems means that traditional perimeter-based security models are no longer sufficient. Even though companies are spending more than $213 billion globally, they still face several persistent security challenges: Fragmented tools don’t integrate together well and leave customers lacking full visibility of their data security risks The growing use of AI in the workplace is creating new data risks for companies to manage The shortage of skilled cybersecurity professionals is making it difficult to accomplish data security objectives Microsoft is a global leader in cloud, productivity, and security solutions. Microsoft Purview benefits from this breadth of offerings, integrating seamlessly across Microsoft 365, Azure, Microsoft Fabric, and other Microsoft platforms — while also working in harmony with complementary security tools. Unlike fragmented point solutions, Purview delivers an end-to-end data security platform built into the productivity and collaboration tools organizations already rely on. This deep understanding of data within Microsoft environments, combined with continually improving external data risk detections, allows customers to simplify their security stack, increase visibility, and act on data risks more quickly. At Ignite, we’re introducing the next generation of data security — delivering advanced protection and operational efficiency, so security teams can move at business speed while maintaining control of their data. Go beyond visibility into action, across your data estate Many customers today lack a comprehensive view of how to holistically address data security risks and properly manage their data security posture. To help customers strengthen data security across their data estate, we are excited to announce the new, enhanced Microsoft Purview Data Security Posture Management (DSPM). This new AI-powered DSPM experience unifies current Purview DSPM and DSPM for AI capabilities to create a central entry point for data security insights and controls, from which organizations can take action to continually improve their data security posture and prioritize risks. The new capabilities in the enhanced DSPM experience are: Outcome-Based workflows: Choose a data security objective and see related metrics, risk patterns, a recommended action plan and its impact - going from insight to action. Expanded coverage and remediation on Data Risk Assessments: Conduct item-level analysis with new remediation actions like bulk disabling of overshared SharePoint links. Out-of-box posture reports: Uncover data protection gaps and track security posture improvements with out-of-box reports that provide rich context on label usage, auto-labeling effectiveness, posture drift through label transitions, and DLP policy activities. AI Observability: Surface an organization’s agent inventory with assigned agent risk level and agent posture metrics based on agentic interactions with the organization’s data. New Security Copilot Agent: Accelerate the discovery and analysis of sensitive data to uncover hidden risks across files, emails, and messages. Gain visibility of non-Microsoft data within your data estate: Enable a unified view of data risks by gaining visibility into Salesforce, Snowflake, Google Cloud Platform, and Databricks – available through integrations with external partners via Microsoft Sentinel. These DSPM enhancements will be available in Public Preview within the upcoming weeks. Learn more in our blog dedicated to the announcement of the new Microsoft Purview DSPM. Together, these innovations reflect a larger shift: data security is no longer about silos—it’s about unified visibility and control everywhere data lives and having a comprehensive understanding of the data estate to detect and prevent data risks. Organizations trust Microsoft for their productivity and security platforms, but their footprint spans across third-party data environments too. That’s why Purview continues to expand protection beyond Microsoft environments. In addition to bringing in 3rd party data into DSPM, we are also expanding auto-labeling to three new Data Map sources, adding to the data sources we previously announced. Currently in public preview, the new sources include Snowflake, SQL Server, and Amazon S3. Once connected to Purview, admins gain an “at-a-glance” view of all data sources and can automatically apply sensitivity labels, enforcing consistent security policies without manual effort. This helps organizations discover sensitive information at scale, reduce the risk of data exposure, and ensure safer AI adoption all while simplifying governance through centralized policy management and visibility across their entire data estate. Enable AI adoption and prevent data oversharing As organizations adopt more autonomous agents, new risks emerge, such as unsupervised data access and creation, cascading agent interactions, and unclear data activity accountability. Besides AI Observability in DSPM providing details on the inventory and risk level of the agents, Purview is expanding its industry-leading data security and compliance capabilities to secure and govern agents that inherit users’ policies and controls, as well as agents that have their own unique IDs, policies, and controls. This includes agent types across Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, and third-party platforms. Key enhancements include: Extension of Purview Information Protection and Data Loss Prevention policies to autonomous agents: Scope autonomous agents with an Agent ID into Purview policies that work for users across Microsoft 365 apps, including Exchange, SharePoint, and Teams. Microsoft Purview Insider Risk Management for Agents: With dedicated indicators and behavioral analytics to flag specific risky agent activities, enable proactive investigation by assigning risk levels to each agent. Extension of Purview data compliance capabilities to agent interactions: Microsoft Purview Communication Compliance, Data Lifecycle Management, Audit, and eDiscovery extend to agent interactions, supporting responsible use, secure retention, and agentic accountability. Purview SDK embedded in Agent Framework SDK: Purview SDK embedded in Agent Framework SDK enables developers to integrate enterprise-grade security, compliance, and governance into AI agents. It delivers automatic data classification, prevents sensitive data leaks and oversharing, and provides visibility and control for regulatory compliance, empowering secure adoption of AI agents in complex environments. Purview integration with Foundry: Purview is now enabled within Foundry, allowing Foundry admins to activate Microsoft Purview on their subscription. Once enabled, interaction data from all apps and agents flows into Purview for centralized compliance, governance, and posture management of AI data. Azure AI Search honors Purview labels and policies: Azure AI Search now ingests Microsoft Purview sensitivity labels and enforces corresponding protection policies through built-in indexers (SharePoint, OneLake, Azure Blob, ADLS Gen2). This ensures secure, policy-aligned search over enterprise data, enabling agentic RAG scenarios where only authorized documents are returned or sent to LLMs, preventing oversharing and aligning with enterprise data protection standards. Extension of Purview Data Loss Prevention policies to Copilot Mode in Edge for Business: This week, Microsoft Edge for Business introduced Copilot Mode, transforming the browser into a proactive, agentic partner. This is AI-assisted browsing will honor the user’s existing DLP protections, such as endpoint DLP policies that prevent pasting to sensitive service domains, or summarizing sensitive page content. Learn more in our blog dedicated to the announcements of Microsoft Purview for Agents. New capabilities in Microsoft Purview, now in public preview, to help prevent data oversharing and leakage through AI include: Expansion of Microsoft Purview Data Loss Prevention (DLP) for Microsoft 365 Copilot: Previously, we introduced DLP for Microsoft 365 Copilot to prevent labeled files & emails from being used as grounding data for responses, therefore reducing the risk of oversharing. Today, we are expanding DLP for Microsoft 365 Copilot to safeguard prompts containing sensitive data. This real-time control helps organizations mitigate data leakage and oversharing risks by preventing Microsoft 365 Copilot, Copilot Chat, and Microsoft 365 Copilot agents from returning a response when prompts contain sensitive data or using that sensitive data for grounding in Microsoft 365 or the web. For example, if a user searches, “Can you tell me more about my customer based on their address: 1234 Main Street,” Copilot will both inform the user that organizational policies prevent it from responding to their prompt, as well as block any web queries to Bing for “1234 Main Street.” Enhancements to inline data protection in Edge for Business: Earlier this year, we introduced inline data protection in Edge for Business to prevent sensitive data from being leaked to unmanaged consumer AI apps, starting with ChatGPT, Google Gemini, and DeepSeek. We are not only making this capability generally available for the initial set of AI apps, but also expanding the capability to 30+ new apps in public preview and supporting file upload activity in addition to text. This addresses potential data leakage that can occur when employees send organizational files or data to consumer AI apps for help with work-related tasks, such as document creation or code reviews. Inline data protection for the network: For user activity outside of the browser, we are also enabling inline data protection at the network layer. Earlier this year, we introduced integrations with supported secure service edge (SSE) providers to detect when sensitive data is shared to unmanaged cloud locations, such as consumer AI apps or personal cloud storage, even if sharing occurs outside of the Edge browser. In addition to the discovery of sensitive data, these integrations now support protection controls that block sensitive data from leaving a user device and reaching an unmanaged cloud service or application. These capabilities are now generally available through the Netskope and iboss integrations, and inline data discovery is available in public preview through the Palo Alto Networks integration. Extension of Purview protection to on-device AI: Purview DLP policies now extend to the Recall experience in Copilot+ PC devices to prevent sensitive organizational data from being undesirably captured and retained. Admins can now block Recall snapshots based on sensitivity label or the presence of Purview sensitive information types (SITs) in a document open on the device, or simply honor and display the sensitivity labels of content captured in the Recall snapshot library. For example, a DLP policy can be configured to prevent recall from taking snapshots of any documents labeled “Highly Confidential,” or a product design file that contains intellectual property. Learn more in the Windows IT Pro blog. Best-in-class data security for Microsoft environments Microsoft Purview sets the standard for data security within its own ecosystem. Organizations benefit from unified security policies and seamless compliance controls that are purpose-built for Microsoft environments, ensuring sensitive data remains secure without compromising productivity. We also are constantly investing in expanding protections and controls to Microsoft collaboration tools including SharePoint, Teams, Fabric, Azure and across Microsoft 365. On-demand classification adds meeting transcript coverage and new enhancements: To help organizations protect sensitive data sitting in data-at-rest, on-demand classification now extends to meeting transcripts, enabling the discovery and classification of sensitive information shared in existing recorded meeting transcripts. Once classified, admins can set up DLP or Data Lifecycle Management (DLM) policies to properly protect and retain this data according to organizational policies. This is now generally available, empowering organizations to strengthen data security, streamline compliance, and ensure even sensitive information in data-at-rest is discovered, protected, and governed more effectively. In addition, on-demand classification for endpoints is also generally available, giving organizations even broader coverage across their data estate. New usage posture and consumption reports: We’re introducing new usage posture and consumption reports, now in public preview. Admins can quickly identify compliance gaps, optimize Purview seat assignments, and understand how consumptive features are driving spend. With granular insights by feature, policy, and user type, admins can analyze usage trends, forecast costs, and toggle consumptive features on and off directly, all from a unified dashboard. The result: stronger compliance, easier cost management, and better alignment of Purview investments to your organization’s needs. Enable DLP and Copilot protection with extended SharePoint permissions: Extended SharePoint permissions, now generally available, make it simple to protect and manage files in SharePoint by allowing library owners to apply a default sensitivity label to an entire document library. When this is enabled, the label is dynamically enforced across all unprotected files in the library, both new and existing, within the library. Downloaded files are automatically encrypted, and access is managed based on SharePoint site membership, giving organizations powerful, scalable access control. With extended SharePoint permissions, teams can consistently apply labels at scale, automate DLP policy enforcement, and confidently deploy Copilot, all without the need for manually labeling files. Whether for internal teams, external partners, or any group where permissions need to be tightly controlled, extended SharePoint permissions streamline protection and compliance in SharePoint. Network file filtering via Entra GSA integration: We are integrating Purview with Microsoft Entra to enable file filtering at the network layer. These filtering controls help prevent sensitive content from being shared to unauthorized services based on properties such as sensitivity labels or presence of Purview sensitive information types (SITs) within the file. For example, Entra admins can now create a file policy to block files containing credit card numbers from passing through the network. Learn more here. Expanded protection scenarios enabled by Purview endpoint DLP: We are introducing several noteworthy enhancements to Purview endpoint DLP to protect an even broader range of exfiltration or leakage scenarios from organizational devices, without hindering user productivity. These enhancements, initially available on Windows devices, include: Extending protection to unsaved files: Files no longer need to be saved to disk to be protected under a DLP policy. With this improvement, unsaved files will undergo a point-in-time evaluation to detect the presence of sensitive data and apply the appropriate protections. Expanded support for removable media: Admins can now prevent data exfiltration to broader list of removable media devices, including iPhones, Android devices, and CD-ROMs. Protection for Outlook attachments downloaded to removable media or network shares: Admins can now prevent exfiltration of email attachments when users attempt to drag and drop them into USB devices, network shares, and other removable media. Expanded capability support for macOS: In addition to the new endpoint DLP protections introduced above, we are also expanding the following capabilities, already available for Windows devices, to devices running on macOS: Expanded file type coverage to 110+ file types, blanket protections for non-Office or PDF file types, addition of “allow” and “off” policy actions, device-based policy scoping to scope policies to specific devices or device groups (or apply exclusions), and integration with Power Automate. Manageability and alert investigation improvements in Purview DLP: Lastly, we are also introducing device manageability and alert investigation improvements in Purview DLP to simplify the day-to-day experience for admins. These improvements include: Reporting and troubleshooting improvements for devices onboarded to endpoint DLP: We are introducing additional tools for admins to build confidence in their Purview DLP protections for endpoint devices. These enhancements, designed to maximize reliability and enable better troubleshooting of potential issues, include near real-time reporting of policy syncs initiated on devices and policy health insights into devices’ compliance status and readiness to receive policies. Enhancements to always-on diagnostics: Earlier this year, we introduced always-on diagnostics to automatically collect logs from Windows endpoint devices, eliminating the need to reproduce issues when submitting an investigation request or raising a support ticket. This capability is expanding so that admins now have on-demand access to diagnostic logs from users’ devices without intervening in their operations. This further streamlines the issue resolution process for DLP admins while minimizing end user disruption. Simplified DLP alert investigation, including easier navigation to crucial alert details in just 1 click, and the ability to aggregate alerts originating from a single user for more streamlined investigation and response. For organizations who manage Purview DLP alerts within their broader incident management process in Microsoft Defender, we are pleased to share that alert severities will now be synced between the Purview portal and the Defender portal. Expanding enterprise-grade data security to small and medium businesses (SMBs): Purview is extending its reach beyond large enterprises by introducing a new add-on for Microsoft 365 Business Premium, bringing advanced data security and compliance capabilities to SMBs. The Microsoft Purview suite for Business Premium brings the same enterprise-grade protection, such as sensitivity labeling, data loss prevention, and compliance management, to organizations with up to 300 users. This enables SMBs to operate with the same level of compliance and data security as large enterprises, all within a simplified, cost-effective experience built for smaller teams. Stepping into the new era of technology with AI-powered data security Globally, there is a shortage of skilled cybersecurity professionals. Simultaneously, the volume of alerts and incidents is ever growing. By infusing AI into data security solutions, admins can scale their impact. By reducing manual workloads, they enhance operational effectiveness and strengthen overall security posture – allowing defenders to stay ahead. In 2025, 82% of organizations have developed plans to use GenAI to fortify their data security programs. With its cutting-edge generative AI-powered investigative capabilities, Microsoft Purview Data Security Investigations (DSI) is transforming and scaling how data security admins analyze incident-related data. Since being released into public preview in April, the product has made a big impact with customers like Toyota Motors North America. "Data Security Investigations eliminates manual work, automating investigations in minutes. It’s designed to handle the scale and complexity of large data sets by correlating user activity with data movement, giving analysts a faster, more efficient path to meaningful insights,” said solution architect Dan Garawecki. This Ignite, we are introducing several new capabilities in DSI, including: DSI integration with DSPM: View proactive, summary insights and launch a Data Security Investigation directly from DSPM. This integration brings the full power of DSI analysis to your fingertips, enabling admins to drill into data risks surfaced in DSPM with speed and precision. Enhancements in DSI AI-powered deep content analysis capabilities: Admins can now add context before AI analysis for higher-quality, more efficient investigations. A new AI-powered natural language search function lets admins locate specific files using keywords, metadata, and embeddings. Vector search and content categorization enhancements allow admins to better identify risky assets. Together, these enhancements equip admins with sharper, faster tools for identifying buried data risks – both proactively and reactively. DSI cost transparency report and in-product estimator: To help customers manage pay-as-you-go billing, DSI is adding a new lightweight in-product cost estimator and transparency report. We are also expanding Security Copilot in Microsoft Purview with AI-powered capabilities that strengthen both the protection and investigation of sensitive data by introducing the Data Security Posture Agent and Data Security Triage Agent. Data Security Posture Agent: Available in preview, the new Data Security Posture Agent uses LLMs to help admins answer “Is this happening?” across thousands of files—delivering fast, intent-driven discovery and risk profiling, even when explicit keywords are absent. Integrated with Purview DSPM, it surfaces actionable insights and improves compliance, helping teams reduce risk and respond to threats before they escalate. Data Security Triage Agent: Alongside this, the Data Security Triage Agent, now generally available, enables analysts to efficiently triage and remediate the most critical alerts, automating incident response and surfacing the threats that matter most. Together, these agentic capabilities convert high-volume signals into consistent, closed-loop action, accelerate investigations and remediation, reduce policy-violation dwell time, and improve audit readiness, all natively integrated within Microsoft 365 and Purview so security teams can scale outcomes without scaling headcount. To make the agents easily accessible and help teams get started more quickly, we are excited to announce that Security Copilot will be available to all Microsoft 365 E5 customers. Rollout starts today for existing Security Copilot customers with Microsoft 365 E5 and will continue in the upcoming months for all Microsoft 365 E5 customers. Customers will receive advanced notice before activation. Learn more: https://aka.ms/SCP-Ignite25 Data security that keeps innovating alongside you As we look ahead, Microsoft Purview remains focused on empowering organizations with scalable solutions that address the evolving challenges of data security. While we deliver best-in-class security for Microsoft, we recognize that today’s organizations rarely operate in a single cloud, many businesses rely on a diverse mix of platforms to power their operations and innovation. That’s why we have been extending Purview’s capabilities beyond Microsoft environments, helping customers protect data across their entire digital estate. In a world where data is the lifeblood of innovation, securing it must be more than a checkbox—it must be a catalyst for progress. As organizations embrace AI, autonomous agents, and increasingly complex digital ecosystems, Microsoft Purview empowers them to move forward with confidence. By unifying visibility, governance, and protection across the entire data estate, Purview transforms security from a fragmented challenge into a strategic advantage. The future of data security isn’t just about defense—it’s about enabling bold, responsible innovation at scale. Let’s build that future together.
