Empowering 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.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=400
Unlocking the Power of Microsoft Purview for ChatGPT Enterprise
In today's rapidly evolving technology landscape, data security and compliance are key. Microsoft Purview offers a robust solution for managing and securing interactions with AI based solutions. This integration not only enhances data governance but also ensures that sensitive information is handled with the appropriate controls. Let's dive into the benefits of this integration and outline the steps to integrate with ChatGPT Enterprise in specific. The integration works for Entra connected users on the ChatGPT workspace, if you have needs that goes beyond this, please tell us why and how it impacts you. Important update 1: Effective May 1, these capabilities require you to enable pay-as-you-go billing in your organization. Important update 2: From May 19, you are required to create a collection policy to ingest ChatGPT Enterprise information. In DSPM for AI you will find this one click process. Benefits of Integrating ChatGPT Enterprise with Microsoft Purview Enhanced Data Security: By integrating ChatGPT Enterprise with Microsoft Purview, organizations can ensure that interactions are securely captured and stored within their Microsoft 365 tenant. This includes user text prompts and AI app text responses, providing a comprehensive record of communications. Compliance and Governance: Microsoft Purview offers a range of compliance solutions, including Insider Risk Management, eDiscovery, Communication Compliance, and Data Lifecycle & Records Management. These tools help organizations meet regulatory requirements and manage data effectively. Customizable Detection: The integration allows for the detection of built in can custom classifiers for sensitive information, which can be customized to meet the specific needs of the organization. To help ensures that sensitive data is identified and protected. The audit data streams into Advanced Hunting and the Unified Audit events that can generate visualisations of trends and other insights. Seamless Integration: The ChatGPT Enterprise integration uses the Purview API to push data into Compliant Storage, ensuring that external data sources cannot access and push data directly. This provides an additional layer of security and control. Step-by-Step Guide to Setting Up the Integration 1. Get Object ID for the Purview account in Your Tenant: Go to portal.azure.com and search for "Microsoft Purview" in the search bar. Click on "Microsoft Purview accounts" from the search results. Select the Purview account you are using and copy the account name. Go to portal.azure.com and search for “Enterprise" in the search bar. Click on Enterprise applications. Remove the filter for Enterprise Applications Select All applications under manage, search for the name and copy the Object ID. 2. Assign Graph API Roles to Your Managed Identity Application: Assign Purview API roles to your managed identity application by connecting to MS Graph utilizing Cloud Shell in the Azure portal. Open a PowerShell window in portal.azure.com and run the command Connect-MgGraph. Authenticate and sign in to your account. Run the following cmdlet to get the ServicePrincipal ID for your organization for the Purview API app. (Get-MgServicePrincipal -Filter "AppId eq '9ec59623-ce40-4dc8-a635-ed0275b5d58a'").id This command provides the permission of Purview.ProcessConversationMessages.All to the Microsoft Purview Account allowing classification processing. Update the ObjectId to the one retrieved in step 1 for command and body parameter. Update the ResourceId to the ServicePrincipal ID retrieved in the last step. $bodyParam= @{ "PrincipalId"= "{ObjectID}" "ResourceId" = "{ResourceId}" "AppRoleId" = "{a4543e1f-6e5d-4ec9-a54a-f3b8c156163f}" } New-MgServicePrincipalAppRoleAssignment -ServicePrincipalId '{ObjectId}' -BodyParameter $bodyParam It will look something like this from the command line We also need to add the permission for the application to read the user accounts to correctly map the ChatGPT Enterprise user with Entra accounts. First run the following command to get the ServicePrincipal ID for your organization for the GRAPH app. (Get-MgServicePrincipal -Filter "AppId eq '00000003-0000-0000-c000-000000000000'").id The following step adds the permission User.Read.All to the Purview application. Update the ObjectId with the one retrieved in step 1. Update the ResourceId with the ServicePrincipal ID retrieved in the last step. $bodyParam= @{ "PrincipalId"= "{ObjectID}" "ResourceId" = "{ResourceId}" "AppRoleId" = "{df021288-bdef-4463-88db-98f22de89214}" } New-MgServicePrincipalAppRoleAssignment -ServicePrincipalId '{ObjectId}' -BodyParameter $bodyParam 3. Store the ChatGPT Enterprise API Key in Key Vault The steps for setting up Key vault integration for Data Map can be found here Create and manage credentials for scans in the Microsoft Purview Data Map | Microsoft Learn When setup you will see something like this in Key vault. 4. Integrate ChatGPT Enterprise Workspace to Purview: Create a new data source in Purview Data Map that connects to the ChatGPT Enterprise workspace. Go to purview.microsoft.com and select Data Map, search if you do not see it on the first screen. Select Data sources Select Register Search for ChatGPT Enterprise and select Provide your ChatGPT Enterprise ID Create the first scan by selecting Table view and filter on ChatGPT Add your key vault credentials to the scan Test the connection and once complete click continue When you click continue the following screen will show up, if everything is ok click Save and run. Validate the progress by clicking on the name, completion of the first full scan may take an extended period of time. Depending on size it may take more than 24h to complete. If you click on the scan name you expand to all the runs for that scan. When the scan completes you can start to make use of the DSPM for AI experience to review interactions with ChatGPT Enterprise. The mapping to the users is based on the ChatGPT Enterprise connection to Entra, with prompts and responses stored in the user's mailbox. 5. Review and Monitor Data: Please see this article for required permissions and guidance around Microsoft Purview Data Security Posture Management (DSPM) for AI, Microsoft Purview data security and compliance protections for Microsoft 365 Copilot and other generative AI apps | Microsoft Learn Use Purview DSPM for AI analytics and Activity Explorer to review interactions and classifications. You can expand on prompts and responses in ChatGPT Enterprise 6. Microsoft Purview Communication Compliance Communication Compliance (here after CC) is a feature of Microsoft Purview that allows you to monitor and detect inappropriate or risky interactions with ChatGPT Enterprise. You can monitor and detect requests and responses that are inappropriate based on ML models, regular Sensitive Information Types, and other classifiers in Purview. This can help you identify Jailbreak and Prompt injection attacks and flag them to IRM and for case management. Detailed steps to configure CC policies and supported configurations can be found here. 7. Microsoft Purview Insider Risk Management We believe that Microsoft Purview Insider Risk Management (here after IRM) can serve a key role in protecting your AI workloads long term. With its adaptive protection capabilities, IRM dynamically adjusts user access based on evolving risk levels. In the event of heightened risk, IRM can enforce Data Loss Prevention (DLP) policies on sensitive content, apply tailored Entra Conditional Access policies, and initiate other necessary actions to effectively mitigate potential risks. This strategic approach will help you to apply more stringent policies where it matters avoiding a boil the ocean approach to allow your team to get started using AI. To get started use the signals that are available to you including CC signals to raise IRM tickets and enforce adaptive protection. You should create your own custom IRM policy for this. Do include Defender signals as well. Based on elevated risk you may select to block users from accessing certain assets such as ChatGPT Enterprise. Please see this article for more detail Block access for users with elevated insider risk - Microsoft Entra ID | Microsoft Learn. 8. eDiscovery eDiscovery of AI interactions is crucial for legal compliance, transparency, accountability, risk management, and data privacy protection. Many industries must preserve and discover electronic communications and interactions to meet regulatory requirements. Including AI interactions in eDiscovery ensures organizations comply with these obligations and preserves relevant evidence for litigation. This process also helps maintain trust by enabling the review of AI decisions and actions, demonstrating due diligence to regulators. Microsoft Purview eDiscovery solutions | Microsoft Learn 9. Data Lifecycle Management Microsoft Purview offers robust solutions to manage AI data from creation to deletion, including classification, retention, and secure disposal. This ensures that AI interactions are preserved and retrievable for audits, litigation, and compliance purposes. Please see this article for more information Automatically retain or delete content by using retention policies | Microsoft Learn. Closing By following these steps, organizations can leverage the full potential of Microsoft Purview to enhance the security and compliance of their ChatGPT Enterprise interactions. This integration not only provides peace of mind but also empowers organizations to manage their data more effectively. We are still in preview some of the features listed are not fully integrated, please reach out to us if you have any questions or if you have additional requirements.Using Copilot in Fabric with Confidence: Data Security, Compliance & Governance with DSPM for AI
Introduction As organizations embrace AI to drive innovation and productivity, ensuring data security, compliance, and governance becomes paramount. Copilot in Microsoft Fabric offers powerful AI-driven insights. But without proper oversight, users can misuse copilot to expose sensitive data or violate regulatory requirements. Enter Microsoft Purview’s Data Security Posture Management (DSPM) for AI—a unified solution that empowers enterprises to monitor, protect, and govern AI interactions across Microsoft and third-party platforms. We are excited to announce the general availability of Microsoft Purview capabilities for Copilot in Fabric, starting with Copilot in Power BI. This blog explores how Purview DSPM for AI integrates with Copilot in Fabric to deliver robust data protection and governance and provides a step-by-step guide to enable this integration. Capabilities of Purview DSPM for AI As organizations adopt AI, implementing data controls and Zero Trust approach is crucial to mitigate risks like data oversharing and leakage, and potential non-compliant usage in AI. We are excited to announce Microsoft Purview capabilities for Copilot in Fabric, starting with Copilot for Power BI, By combining Microsoft Purview and Copilot for Power BI, users can: Discover data risks such as sensitive data in user prompts and responses in Activity Explorer and receive recommended actions in their Microsoft Purview DSPM for AI Reports to reduce these risks. DSPM for AI Activity Explorer DSPM for AI Reports If you find Copilot in Fabric actions in DSPM for AI Activity Explorer or reports to be potentially inappropriate or malicious, you can look for further information in Insider Risk Management (IRM), through an eDiscovery case, Communication Compliance (CC), or Data Lifecycle Management (DLM). Identify risky AI usage with Microsoft Purview Insider Risk Management to investigate risky AI usage, such as an inadvertent user who has neglected security best practices and shared sensitive data in AI. Govern AI usage with Microsoft Purview Audit, Microsoft Purview eDiscovery, retention policies, and non-compliant or unethical AI usage detection with Purview Communication Compliance. Purview Audit provides a detailed log of user and admin activity within Copilot in Fabric, enabling organizations to track access, monitor usage patterns, and support forensic investigations. Purview eDiscovery enables legal and investigative teams to identify, collect, and review Copilot in Fabric interactions as part of case workflows, supporting defensible investigations Communication Compliance helps detect potential policy violations or risky behavior in administrator interactions, enabling proactive monitoring and remediation for Copilot in Fabric Data Lifecycle Management allows teams to automate the retention, deletion, and classification of Copilot in Fabric data—reducing storage costs and minimizing risk from outdated or unnecessary information Steps to Enable the Integration To use DSPM for AI from the Microsoft Purview portal, you must have the following prerequisites, Activate Purview Audit which requires user to have the role of Entra Compliance Admin or Entra Global admin to enable Purview Audit. More details on DSPM pre-requisites can be found here, Considerations for deploying Microsoft Purview Data Security Posture Management (DSPM) for AI | Microsoft Learn To enable Purview DSPM for AI for Copilot for Power BI, Step 1: Enable DSPM for AI Policies Navigate to Microsoft Purview DSPM for AI. Enable the one-click policy: “DSPM for AI – Capture interactions for Copilot experiences”. Optionally enable additional policies: Detect risky AI usage Detect unethical behavior in AI apps These policies can be configured in the Microsoft Purview DSPM for AI portal and tailored to your organization’s risk profile. Step 2: Monitor and Act Use DSPM for AI Reports and Activity Explorer to monitor AI interactions. Apply IRM, DLM, CC and eDiscovery actions as needed. Purview Roles and Permissions Needed by Users To manage and operate DSPM for AI effectively, assign the following roles: Role Responsibilities Purview Compliance Administrator Full access to configure policies and DSPM for AI setup Purview Security Reader View reports, dashboards, policies and AI Activity Content Explorer Content Viewer Additional Permission to view the actual prompts and responses on top of the above permissions More details on Purview DSPM for AI Roles & permissions can be found here, Permissions for Microsoft Purview Data Security Posture Management for AI | Microsoft Learn Purview Costs Microsoft Purview now offers a combination of entitlement-based (per-user-per-month) and Pay-As-You-Go (PAYG) pricing models. The PAYG model applies to a broader set of Purview capabilities—including Insider Risk Management, Communication Compliance, eDiscovery, and other data security and governance solutions—based on copilot for Power BI usage volume or complexity. Purview Audit logging of Copilot for Power BI activity remains included at no additional cost as part of Microsoft 365 E5 licensing. This flexible pricing structure ensures that organizations only pay for what they use as data flows through AI models, networks, and applications. For further details, please refer to this blog: New Purview pricing options for protecting AI apps and agents | Microsoft Community Hub Conclusion Microsoft Purview DSPM for AI is a game-changer for organizations looking to adopt AI responsibly. By integrating with Copilot in Fabric, it provides a comprehensive framework to discover, protect, and govern AI interactions—ensuring compliance, reducing risk, and enabling secure innovation. Whether you're a Fabric Admin, compliance admin or security admin, enabling this integration is a strategic step toward building a secure, AI-ready enterprise. Additional resources Use Microsoft Purview to manage data security & compliance for Microsoft Copilot in Fabric | Microsoft Learn How to deploy Microsoft Purview DSPM for AI to secure your AI apps 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 Considerations for deploying Microsoft Purview Data Security Posture Management (DSPM) for AI | Microsoft Learn Learn about Microsoft Purview billing models | Microsoft LearnSecure 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 Coplot 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 Purview Powering Data Security and Compliance for Security Copilot
Microsoft Purview provides Security and Compliance teams with extensive visibility into admin actions within Security Copilot. It offers tools for enriched users and data insights to identify, review, and manage Security Copilot interaction data in DSPM for AI. Data security and compliance administrators can also utilize Purview’s capabilities for data lifecycle management and information protection, advanced retention, eDiscovery, and more. These features support detailed investigations into logs to demonstrate compliance within the Copilot tenant. Prerequisites Please refer to the prerequisites for Security Copilot and DSPM for AI in the Microsoft Learn Docs. Key Capabilities and Features Heightened Context and Clarity As organizations adopt AI, implementing data controls and a Zero Trust approach is essential to mitigate risks like data oversharing, leakage, and non-compliant usage. Microsoft Purview, combined with Data Security Posture Management (DSPM) for AI, empowers security and compliance teams to manage these risks across Security Copilot interactions. With this integration, organizations can: Discover data risks by identifying sensitive information in user prompts and responses. Microsoft Purview surfaces these insights in the DSPM for AI dashboard and recommends actions to reduce exposure. Identify risky AI usage using Microsoft Purview Insider Risk Management to investigate behaviors such as inadvertent sharing of sensitive data or to detect suspicious activity within Security Copilot usage. These capabilities provide heightened visibility into how AI is used across the organization, helping teams proactively address potential risks before they escalate. Compliance and Governance Building on this visibility, organizations can take action using Microsoft Purview’s integrated compliance and governance solutions. Here are some examples of how teams are leveraging these capabilities to govern Security Copilot interactions: Audit provides a detailed log of user and admin activity within Security Copilot, enabling organizations to track access, monitor usage patterns, and support forensic investigations. eDiscovery enables legal and investigative teams to identify, collect, and review Security Copilot interactions as part of case workflows, supporting defensible investigations. Communication Compliance helps detect potential policy violations or risky behavior in administrator interactions, enabling proactive monitoring and remediation. Data Lifecycle Management allows teams to automate the retention, deletion, and classification of Security Copilot data—reducing storage costs and minimizing risk from outdated or unnecessary information. Together, these tools provide a comprehensive governance framework that supports secure, compliant, and responsible AI adoption across the enterprise. Getting Started Enable Purview Audit for Security Copilot Sign into your Copilot tenant at https://securitycopilot.microsoft.com/, and with the Security Administrator permissions, navigate to the Security Copilot owner settings and ensure Audit logging is enabled. Microsoft Purview To start using DSPM for AI and the Microsoft Purview capabilities, please complete the following steps to get set up and then feel free to experiment yourself. Navigate to Purview (Purview.Microsoft.com) and ensure you have adequate permissions to access the different Purview solutions as described here. DSPM for AI Select the DSPM for AI “Solution” option on the left-most navigation. Go to the policies or recommendations tab turn on the following: a. “DSPM for AI – Capture interactions for Copilot Experiences”: Captures prompts and responses for data security posture and regulatory compliance from Security Copilot and other Copilot experiences. b. “Detect Risky AI Usage”: Helps to calculate user risk by detecting risky prompts and responses in Copilot experiences. c. “Detect unethical behavior in AI apps”: Detects sensitive info and inappropriate use of AI in prompts and responses in Copilot experiences. To begin reviewing Security Copilot usage within your organization and identifying interactions that contain sensitive information, select Reports from the left navigation panel. a. The "Sensitive interactions per AI app" report shows the most common sensitive information types used in Security Copilot interactions and their frequency. For instance, this tenant has a significant amount of IT and IP Address information within these interactions. Therefore, it is important to ensure that all sensitive information used in Security Copilot interactions is utilized for legitimate workplace purposes and does not involve any malicious or non-compliant use of Security Copilot. b. “Top unethical AI interactions” will show an overview of any potentially unsafe or inappropriate interactions with AI apps. In this case, Security Copilot only has seven potentially unsafe interactions that included unauthorized disclosure and regulatory collusion. c. “Insider risk severity per AI app” shows the number of high risk, medium risk, low risk and no risk users that are interacting with Security Copilot. In this tenant, there are about 1.9K Security Copilot users, but very few of them have an insider risk concern. d. To check the interaction details of this potentially risky activity, head over to Activity Explorer for more information. 5. In Activity Explorer, you should filter the App to Security Copilot. You will also have the option to filter based on the user risk level and sensitive information type. To identify the highest risk behaviors, filter for users with a medium to high risk level or those associated with the most sensitive information types. a. Once you have filtered, you can start looking through the activity details for more information like the user details, the sensitive information types, the prompt and response data, and more. b. Based on the details shown, you may decide to investigate the activity and the user further. To do so, we have data security investigation and governance tools. Data Security Investigations and Governance If you find Security Copilot actions in DSPM for AI Activity Explorer to be potentially inappropriate or malicious, you can look for further information in Insider Risk Management (IRM), through an eDiscovery case, Communication Compliance (CC), or Data Lifecycle Management (DLM). Insider Risk Management By enabling the quick policy in DSPM for AI to monitor risky Copilot usage, alerts will start appearing in IRM. Customize this policy based on your organization's risk tolerance by adjusting triggering events, thresholds, and indicators for detected activity. Examine the alerts associated with the "DSPM for AI – Detect risky AI usage" policy, potentially sorting them by severity from high to low. For these alerts, you will find a User Activity scatter plot that provides insights into the activities preceding and following the user's engagement with a risky prompt in Security Copilot. This assists the Data Security administrator in understanding the necessary triage actions for this user/alert. After thoroughly investigating these details and determining whether the activity was malicious or an inadvertent insider risk, appropriate actions can be taken, including issuing a user warning, resolving the case, sharing the case with an email recipient, or escalating the case to eDiscovery for further investigation. eDiscovery To identify, review and manage your Security Copilot logs to support your investigations, use the eDiscovery tool. Here are the steps to take in eDiscovery: a. Create an eDiscovery Case b. Create a new search c. In Search, go to condition builder and select Add conditions -> KeyQL d. Enter the query as: - KQL Equal (ItemClass=IPM.SkypeTeams.Message.Copilot.Security.SecurityCopilot) e. Run the query f. Once completed, add the search to a review set (Button at the top) g. In the review set, view details of the Security Copilot conversation Communication Compliance In Communication Compliance, like IRM, you can investigate details around the Security Copilot interactions. Specifically, in CC, you can determine if these interactions contained non-compliant usage of Security Copilot or inappropriate text. After identifying the sentiment of the Security Copilot communication, you can take action by resolving the alert, sending a warning notice to the user, escalating the alert to a reviewer, or escalating the alert for investigation, which will create a new eDiscovery case. Data Lifecycle Management For regulatory compliance or investigation purposes, navigate to Data Lifecycle Management to create a new retention policy for Security Copilot activities. a. Provide a friendly name for the retention policy and select Next b. Skip Policy Scope section for this validation c. Select “Static” type of retention policy and select Next d. Choose “Microsoft Copilot Experiences” to apply retention policy to Security Copilot interactions Billing Model Microsoft Purview audit logging of Security Copilot activity remains included at no additional cost as part of Microsoft 365 E5 licensing. However, Microsoft Purview now offers a combination of entitlement-based (per-user-per-month) and Pay-As-You-Go (PAYG) pricing models. The PAYG model applies to a broader set of Purview capabilities—including Insider Risk Management, Communication Compliance, eDiscovery, and other data security and governance solutions—based on usage volume or complexity. This flexible pricing structure ensures that organizations only pay for what they use as data flows through AI models, networks, and applications. For further details, please refer to this Microsoft Security Community Blog: New Purview pricing options for protecting AI apps and agents | Microsoft Community Hub Looking Ahead By following these steps, organizations can leverage the full potential of Microsoft Purview to enhance the security and compliance of their Security Copilot interactions. This integration not only provides peace of mind but also empowers organizations to manage their data more effectively. Please reach out to us if you have any questions or additional requirements. Additional Resources Use Microsoft Purview to manage data security & compliance for Microsoft Security Copilot | Microsoft Learn How to deploy Microsoft Purview DSPM for AI to secure your AI apps 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 Considerations for deploying Microsoft Purview Data Security Posture Management (DSPM) for AI | Microsoft Learn Learn about Microsoft Purview billing models | Microsoft LearnHow business conduct violations can help understand data security risks
Discover how the integration of Communication Compliance and Insider Risk Management enhances understanding of data security risks by providing deeper insights into user intent on potentially risky activities, ultimately aiding proactive management and safeguarding of sensitive assets within organizations.How to deploy Microsoft Purview DSPM for AI to secure your AI apps
Microsoft Purview Data Security Posture Management (DSPM for AI) is designed to enhance data security for the following AI applications: Microsoft Copilot experiences, including Microsoft 365 Copilot. Enterprise AI apps, including ChatGPT enterprise integration. Other AI apps, including all other AI applications like ChatGPT consumer, Microsoft Copilot, DeepSeek, and Google Gemini, accessed through the browser. In this blog, we will dive into the different policies and reporting we have to discover, protect and govern these three types of AI applications. Prerequisites Please refer to the prerequisites for DSPM for AI in the Microsoft Learn Docs. Login to the Purview portal To begin, start by logging into Microsoft 365 Purview portal with your admin credentials: In the Microsoft Purview portal, go to the Home page. Find DSPM for AI under solutions. 1. Securing Microsoft 365 Copilot Be sure to check out our blog on How to use the DSPM for AI data assessment report to help you address oversharing concerns when you deploy Microsoft 365 Copilot. Discover potential data security risks in Microsoft 365 Copilot interactions In the Overview tab of DSPM for AI, start with the tasks in “Get Started” and Activate Purview Audit if you have not yet activated it in your tenant to get insights into user interactions with Microsoft Copilot experiences In the Recommendations tab, review the recommendations that are under “Not Started”. Create the following data discovery policy to discover sensitive information in AI interactions by clicking into it. Detect risky interactions in AI apps - This public preview Purview Insider Risk Management policy helps calculate user risk by detecting risky prompts and responses in Microsoft 365 Copilot experiences. Click here to learn more about Risky AI usage policy. With the policies to discover sensitive information in Microsoft Copilot experiences in place, head back to the Reports tab of DSPM for AI to discover any AI interactions that may be risky, with the option to filter to Microsoft Copilot Experiences, and review the following for Microsoft Copilot experiences: Total interactions over time (Microsoft Copilot) Sensitive interactions per AI app Top unethical AI interactions Top sensitivity labels references in Microsoft 365 Copilot Insider Risk severity Insider risk severity per AI app Potential risky AI usage Protect sensitive data in Microsoft 365 Copilot interactions From the Reports tab, click on “View details” for each of the report graphs to view detailed activities in the Activity Explorer. Using available filters, filter the results to view activities from Microsoft Copilot experiences based on different Activity type, AI app category and App type, Scope, which support administrative units for DSPM for AI, and more. Then drill down to each activity to view details including the capability to view prompts and response with the right permissions. To protect the sensitive data in interactions for Microsoft 365 Copilot, review the Not Started policies in the Recommendations tab and create these policies: Information Protection Policy for Sensitivity Labels - This option creates default sensitivity labels and sensitivity label policies. If you've already configured sensitivity labels and their policies, this configuration is skipped. Protect sensitive data referenced in Microsoft 365 Copilot - This guides you through the process of creating a Purview Data Loss Prevention (DLP) policy to restrict the processing of content with specific sensitivity labels in Copilot interactions. Click here to learn more about Data Loss Prevention for Microsoft 365 Copilot. Protect sensitive data referenced in Copilot responses - Sensitivity labels help protect files by controlling user access to data. Microsoft 365 Copilot honors sensitivity labels on files and only shows users files they already have access to in prompts and responses. Use Data assessments to identify potential oversharing risks, including unlabeled files. Stay tuned for an upcoming blog post on using DSPM for AI data assessments! Use Copilot to improve your data security posture - Data Security Posture Management combines deep insights with Security Copilot capabilities to help you identify and address security risks in your org. Once you have created policies from the Recommendations tab, you can go to the Policies tab to review and manage all the policies you have created across your organization to discover and safeguard AI activity in one centralized place, as well as edit the policies or investigate alerts associated with those policies in solution. Note that additional policies not from the Recommendations tab will also appear in the Policies tab when DSPM for AI identifies them as policies to Secure and govern all AI apps. Govern the prompts and responses in Microsoft 365 Copilot interactions Understand and comply with AI regulations by selecting “Guided assistance to AI regulations” in the Recommendations tab and walking through the “Actions to take”. From the Recommendations tab, create a Control unethical behavior in AI Purview Communications Compliance policy to detect sensitive information in prompts and responses and address potentially unethical behavior in Microsoft Copilot experiences and ChatGPT for Enterprise. This policy covers all users and groups in your organization. To retain and/or delete Microsoft 365 Copilot prompts and responses, setup a Data Lifecycle policy by navigating to Microsoft Purview Data Lifecycle Management and find Retention Policies under the Policies header. You can also preserve, collect, analyze, review, and export Microsoft 365 Copilot interactions by creating an eDiscovery case. 2. Securing Enterprise AI apps Please refer to this amazing blog on Unlocking the Power of Microsoft Purview for ChatGPT Enterprise | Microsoft Community Hub for detailed information on how to integrate with ChatGPT for enterprise, the Purview solutions it currently supports through Purview Communication Compliance, Insider Risk Management, eDiscovery, and Data Lifecycle Management. Learn more about the feature also through our public documentation. 3. Securing other AI Microsoft Purview DSPM for AI currently supports the following list of AI sites. Be sure to also check out our blog on the new Microsoft Purview data security controls for the browser & network to secure other AI apps. Discover potential data security risks in prompts sent to other AI apps In the Overview tab of DSPM for AI, go through these three steps in “Get Started” to discover potential data security risk in other AI interactions: Install Microsoft Purview browser extension For Windows users: The Purview extension is not necessary for the enforcement of data loss prevention on the Edge browser but required for Chrome to detect sensitive info pasted or uploaded to AI sites. The extension is also required to detect browsing to other AI sites through an Insider Risk Management policy for both Edge and Chrome browser. Therefore, Purview browser extension is required for both Edge and Chrome in Windows. For MacOS users: The Purview extension is not necessary for the enforcement of data loss prevention on macOS devices, and currently, browsing to other AI sites through Purview Insider Risk Management is not supported on MacOS, therefore, no Purview browser extension is required for MacOS. Extend your insights for data discovery – this one-click collection policy will setup three separate Purview detection policies for other AI apps: Detect sensitive info shared in AI prompts in Edge – a Purview collection policy that detects prompts sent to ChatGPT consumer, Micrsoft Copilot, DeepSeek, and Google Gemini in Microsoft Edge and discovers sensitive information shared in prompt contents. This policy covers all users and groups in your organization in audit mode only. Detect when users visit AI sites – a Purview Insider Risk Management policy that detects when users use a browser to visit AI sites. Detect sensitive info pasted or uploaded to AI sites – a Purview Endpoint Data loss prevention (eDLP) policy that discovers sensitive content pasted or uploaded in Microsoft Edge, Chrome, and Firefox to AI sites. This policy covers all users and groups in your org in audit mode only. With the policies to discover sensitive information in other AI apps in place, head back to the Reports tab of DSPM for AI to discover any AI interactions that may be risky, with the option to filter by Other AI Apps, and review the following for other AI apps: Total interactions over time (other AI apps) Total visits (other AI apps) Sensitive interactions per AI app Insider Risk severity Insider risk severity per AI app Protect sensitive info shared with other AI apps From the Reports tab, click on “View details” for each of the report graphs to view detailed activities in the Activity Explorer. Using available filters, filter the results to view activities based on different Activity type, AI app category and App type, Scope, which support administrative units for DSPM for AI, and more. To protect the sensitive data in interactions for other AI apps, review the Not Started policies in the Recommendations tab and create these policies: Fortify your data security – This will create three policies to manage your data security risks with other AI apps: 1) Block elevated risk users from pasting or uploading sensitive info on AI sites – this will create a Microsoft Purview endpoint data loss prevention (eDLP) policy that uses adaptive protection to give a warn-with-override to elevated risk users attempting to paste or upload sensitive information to other AI apps in Edge, Chrome, and Firefox. This policy covers all users and groups in your org in test mode. Learn more about adaptive protection in Data loss prevention. 2) Block elevated risk users from submitting prompts to AI apps in Microsoft Edge – this will create a Microsoft Purview browser data loss prevention (DLP) policy, and using adaptive protection, this policy will block elevated, moderate, and minor risk users attempting to put information in other AI apps using Microsoft Edge. This integration is built-in to Microsoft Edge. Learn more about adaptive protection in Data loss prevention. 3) Block sensitive info from being sent to AI apps in Microsoft Edge - this will create a Microsoft Purview browser data loss prevention (DLP) policy to detect inline for a selection of common sensitive information types and blocks prompts being sent to AI apps while using Microsoft Edge. This integration is built-in to Microsoft Edge. Once you have created policies from the Recommendations tab, you can go to the Policies tab to review and manage all the policies you have created across your organization to discover and safeguard AI activity in one centralized place, as well as edit the policies or investigate alerts associated with those policies in solution. Note that additional policies not from the Recommendations tab will also appear in the Policies tab when DSPM for AI identifies them as policies to Secure and govern all AI apps. Conclusion Microsoft Purview DSPM for AI can help you discover, protect, and govern the interactions from AI applications in Microsoft Copilot experiences, Enterprise AI apps, and other AI apps. We recommend you review the Reports in DSPM for AI routinely to discover any new interactions that may be of concern, and to create policies to secure and govern those interactions as necessary. We also recommend you utilize the Activity Explorer in DSPM for AI to review different Activity explorer events while users interacting with AI, including the capability to view prompts and response with the right permissions. We will continue to update this blog with new features that become available in DSPM for AI, so be sure to bookmark this page! Follow-up Reading Check out this blog on the details of each recommended policies in DSPM for AI: Microsoft Purview – Data Security Posture Management (DSPM) for AI | Microsoft Community Hub Address oversharing concerns with Microsoft 365 blueprint - aka.ms/Copilot/Oversharing Microsoft Purview data security and compliance protections for Microsoft 365 Copilot and other generative AI apps | Microsoft Learn Considerations for deploying Microsoft Purview AI Hub and data security and compliance protections for Microsoft 365 Copilot and Microsoft Copilot | Microsoft Learn Commonly used properties in Copilot audit logs - Audit logs for Copilot and AI activities | Microsoft Learn Supported AI sites by Microsoft Purview for data security and compliance protections | Microsoft Learn Where Copilot usage data is stored and how you can audit it - Microsoft 365 Copilot data protection and auditing architecture | Microsoft Learn Downloadable whitepaper: Data Security for AI Adoption | Microsoft Public roadmap for DSPM for AI - Microsoft 365 Roadmap | Microsoft 365Rethinking Data Security and Governance in the Era of AI
The era of AI is reshaping industries, enabling unprecedented innovations, and presenting new opportunities for organizations worldwide. But as organizations accelerate AI adoption, many are focused on a growing concern: their current data security and governance practices are not effectively built for the fast-paced AI innovation and ever-evolving regulatory landscape. At Microsoft, we recognize the critical need for an integrated approach to address these risks. In our latest findings, Top 3 Challenges in Securing and Governing Data for the Era of AI, we uncovered critical gaps in how organizations manage data risk. The findings exemplify the current challenges: 91% of leaders are not prepared to manage risks posed by AI 1 and 85% feel unprepared to comply with AI regulations 2 . These gaps not only increase non-compliance but also put innovation at risk. Microsoft Purview has the tools to tackle these challenges head on, helping organizations move to an approach that protects data, meets compliance regulations, and enables trusted AI transformation. We invite you to take this opportunity to evaluate your current practices, platforms, and responsibilities, and to understand how to best secure and govern your organization for growing data risks in the era of AI. Platform fragmentation continues to weaken security outcomes Organizations often rely on fragmented tools across security, compliance, and data teams, leading to a lack of unified visibility and insufficient data hygiene. Our findings reveal the effects of fragmented platforms, leading to duplicated data, inconsistent classification, redundant alerts, and siloed investigations, which ultimately is causing data exposure incidents related to AI to be on the rise 3 . Microsoft Purview offers centralized visibility across your organization’s data estate. This allows teams to break down silos, streamline workflows, and mitigate data leakage and oversharing. With Microsoft Purview, capabilities like data health management and data security posture management are designed to enhance collaboration and deliver enriched insights across your organization to help further protect your data and mitigate risks faster. Microsoft Purview offers the following: Unified insights across your data estate, breaking down silos between security, compliance, and data teams. Microsoft Purview Data Security Posture Management (DSPM) for AI helps organizations gain unified visibility into GenAI usage across users, data, and apps to address the heightened risk of sensitive data exposure from AI. Built-in capabilities like classification, labeling, data loss prevention, and insider risk insights in one platform. In addition, newly launched solutions like Microsoft Purview Data Security Investigations accelerate investigations with AI-powered deep content analysis, which helps data security teams quickly identify and mitigate sensitive data and security risks within impacted data. Organizations like Kern County historically relied on many fragmented systems but adopted Microsoft Purview to unify their organization’s approach to data protection in preparation for increasing risks associated with deploying GenAI. “We have reduced risk exposure, [Microsoft] Purview helped us go from reaction to readiness. We are catching issues proactively instead of retroactively scrambling to contain them.” – Aaron Nance, Deputy Chief Information Security Officer, Kern County Evolving regulations require continuous compliance AI-driven innovation is creating a surge in regulations, resulting in over 200 daily updates across more than 900 regulatory agencies 4 , as highlighted in our research. Compliance has become increasingly difficult, with organizations struggling to avoid fines and comply with varying requirements across regions. To navigate these challenges effectively, security leaders’ responsibilities are expanding to include oversight across governance and compliance, including oversight of traditional data catalog and governance solutions led by the central data office. Leaders also cite the need for regulation and audit readiness. Microsoft Purview enables compliance and governance by: Streamlining compliance with Microsoft Purview Compliance Manager templates, step-by-step guidance, and insights for region and industry-specific regulations, including GDPR, HIPAA, and AI-specific regulation like the EU AI Act. Supporting legal matters such as forensic and internal investigations with audit trail records in Microsoft Purview eDiscovery and Audit. Activating and governing data for trustworthy analytics and AI with Microsoft Purview Unified Catalog, which enables visibility across your data estate and data confidence via data quality, data lineage, and curation capabilities for federated governance. Microsoft Purview’s suite of capabilities provides visibility and accountability, enabling security leaders to meet stringent compliance demands while advancing AI initiatives with confidence. Organizations need a unified approach to secure and govern data Organizations are calling for an integrated platform to address data security, governance, and compliance collectively. Our research shows that 95% of leaders agree that unifying teams and tools is a top priority 5 and 90% plan to adopt a unified solution to mitigate data related risks and maximize impact 6 . Integration isn't just about convenience, it’s about enabling innovation with trusted data protection. Microsoft Purview enables a shared responsibility model, allowing individual business units to own their data while giving central teams oversight and policy control. As organizations adopt a unified platform approach, our findings reveal the upside potential not only being reduced risk but also cost savings. With AI-powered copilots such as Security Copilot in Microsoft Purview, data protection tasks are simplified with natural-language guidance, especially for under resourced teams. Accelerating AI transformation with Microsoft Purview Microsoft Purview helps security, compliance, and governance teams navigate the complexities of AI innovation while implementing effective data protection and governance strategies. Microsoft partner EY highlights the results they are seeing: “We are seeing 25%–30% time savings when we build secure features using [Microsoft] Purview SDK. What was once fragmented is now centralized. With [Microsoft] Purview, everything comes together on one platform, giving a unified foundation to innovate and move forward with confidence.” – Prashant Garg, Partner of Data and AI, EY We invite you to explore how you can propel your organization toward a more secure future by reading the full research paper at https://aka.ms/SecureAndGovernPaper. Visit our website to learn more about Microsoft Purview. 1 Forbes, Only 9% Of Surveyed Companies Are Ready To Manage Risks Posed By AI, 2023 2 SAP LeanIX, AI Survey Results, 2024 3 Microsoft, Data Security Index Report, 2024 4 Forbes, Cost of Compliance, Thomson Reuters, 2021 5 Microsoft, Audience Research, 2024 6 Microsoft, Customer Requirements Research, 2024Enterprise-grade controls for AI apps and agents built with Azure AI Foundry and Copilot Studio
AI innovation is moving faster than ever, and more AI projects are moving beyond experimentation into deployment, to drive tangible business impact. As organizations accelerate innovation with custom AI applications and agents, new risks emerge across the software development lifecycle and AI stack related to data oversharing and leaks, new vulnerabilities and threats, and non-compliance with stringent regulatory requirements Through 2025, poisoning of software supply chains and infrastructure technology stacks will constitute more than 70% of malicious attacks against AI used in the enterprise 1 , highlighting potential threats that originate early in development. Today, the average cost of a data breach is $4.88 million, but when security issues are caught early in the development process, that number drops dramatically to just $80 per incident 2 . The message is very clear; security can’t be an afterthought anymore. It must be a team sport across the organization, embedded from the start and throughout the development lifecycle. That's why developers and security teams should align on processes and tools that bring security into every stage of the AI development lifecycle and give security practitioners visibility into and the ability to mitigate risks. To address these growing challenges and help customers secure and govern their AI workloads across development and security teams, we are: Enabling Azure AI Foundry and Microsoft Copilot Studio to provide best-in-class foundational capabilities to secure and govern AI workloads Deeply integrating and embedding industry-leading capabilities from Microsoft Purview, Microsoft Defender, and Microsoft Entra into Azure AI Foundry and Microsoft Copilot Studio This week, 3,000 developers are gathering in Seattle for the annual Microsoft Build conference, with many more tuning in online, to learn practical skills for accelerating their AI apps and agents' innovation. To support their AI innovation journey, today we are excited to announce several new capabilities to help developers and organizations secure and govern AI apps and agents. New Azure AI Foundry foundational capabilities to secure and govern AI workloads Azure AI Foundry enhancements for AI security and safety With 70,000 customers, 100 trillion tokens processed this quarter, and 2 billion enterprise search queries each day, Azure AI Foundry has grown beyond just an application layer—it's now a comprehensive platform for building agents that can plan, take action, and continuously learn to drive real business outcomes. To help organizations build and deploy AI with confidence, we’re introducing new security and safety capabilities and insights for developers in Azure AI Foundry Introducing Spotlighting to detect and block prompt injection attacks in real time As AI systems increasingly rely on external data sources, a new class of threats has emerged. Indirect prompt injection attacks embed hidden instructions in documents, emails, and web content, tricking models into taking unauthorized actions without any direct user input. These attacks are difficult to detect and hard to prevent using traditional filters alone. To address this, Azure AI Content Safety is introducing Spotlighting, now available in preview. Spotlighting strengthens the Prompt Shields guardrail by improving its ability to detect and handle potential indirect prompt injections, where hidden adversarial instructions are embedded in external content. This new capability helps prevent the model from inadvertently acting on malicious prompts that are not directly visible to the user. Enable Spotlighting in Azure AI Content Safety to detect potential indirect prompt injection attacks New capabilities for task adherence evaluation and task adherence mitigation to ensure agents remain within scope As developers build more capable agents, organizations face growing pressure to help confirm those agents act within defined instructions and policy boundaries. Even small deviations can lead to tool misuse, broken workflows, or risks like unintended exposure of sensitive data. To solve this, Azure AI Foundry now includes task adherence for agents, now in preview and powered by two components: a real-time evaluation and a new control within Azure AI Content Safety. At the core is a real-time task adherence evaluation API, part of Azure AI Content Safety. This API assesses whether an agent’s behavior is aligned with its assigned task by analyzing the user’s query, system instructions, planned tool calls, and the agent’s response. The evaluation framework is built on Microsoft’s Agent Evaluators, which measure intent resolution, tool selection accuracy, completeness of response, and overall alignment to the original request. Developers can run this scoring logic locally using the Task Adherence Evaluator in the Azure AI Evaluation SDK, with a five-point scale that ranges from fully nonadherent to fully adherent. This gives teams a flexible and transparent way to inspect task-level behavior before it causes downstream issues. Task adherence is enforced through a new control in Azure AI Content Safety. If an agent goes off-task, the control can block tool use, pause execution, or trigger human review. In Azure AI Agent Service, it is available as an opt-in feature and runs automatically. Combined with real-time evaluation, this control helps to ensure that agents stay on task, follow instructions, and operate according to enterprise policies. Learn more about Prompt Shields in Azure AI Content Safety. Azure AI Foundry continuous evaluation and monitoring of agentic systems Maintaining high performance and compliance for AI agents after deployment is a growing challenge. Without ongoing oversight, issues like performance degradation, safety risks, or unintentional misuse of resources can slip through unnoticed. To address this, Azure AI Foundry introduces continuous evaluation and monitoring of agentic systems, now in preview, provides a single pane of glass dashboard to track key metrics such as performance, quality, safety, and resource usage in real time. Continuous evaluation runs quality and safety evaluations at a sampled rate of production usage with results made available in the Azure AI Foundry Monitoring dashboard and published to Application Insights. Developers can set alerts to detect drift or regressions and use Azure Monitor to gain full-stack visibility into their AI systems. For example, an organization using an AI agent to assist with customer-facing tasks can monitor groundedness and detect a decline in quality when the agent begins referencing irrelevant information, helping teams to act before it potentially negatively affects trust of users. Azure AI Foundry evaluation integrations with Microsoft Purview Compliance Manager, Credo AI, and Saidot for streamlined compliance AI regulations and standards introduce new requirements for transparency, documentation, and risk management for high-risk AI systems. As developers build AI applications and agents, they may need guidance and tools to help them evaluate risks based on these requirements and seamlessly share control and evaluation insights with compliance and risk teams. Today, we are announcing previews for Azure AI Foundry evaluation tool’s integration with a compliance management solution, Microsoft Purview Compliance Manager, and AI governance solutions, Credo AI and Saidot. These integrations help define risk parameters, run suggested compliance evaluations, and collect evidence for control testing and auditing. For example, for a developer who’s building an AI agent in Europe may be required by their compliance team to complete a Data Protection Impact Assets (DPIA) and Algorithmic Impact Assessment (AIA) to meet internal risk management and technical documentation requirements aligned with emerging AI governance standards and best practices. Based on Purview Compliance Manager’s step-by-step guidance on controls implementation and testing, the compliance teams can evaluate risks such as potential bias, cybersecurity vulnerabilities, or lack of transparency in model behavior. Once the evaluation is conducted in Azure AI Foundry, the developer can obtain a report with documented risk, mitigation, and residual risk for compliance teams to upload to Compliance Manager to support audits and provide evidence to regulators or external stakeholders. Assess controls for Azure AI Foundry against emerging AI governance standards Learn more about Purview Compliance Manager. Learn more about the integration with Credo AI and Saidot in this blogpost. Leading Microsoft Entra, Defender and Purview value extended to Azure AI Foundry and Microsoft Copilot Studio Introducing Microsoft Entra Agent ID to help address agent sprawl and manage agent identity Organizations are rapidly building their own AI agents, leading to agent sprawl and a lack of centralized visibility and management. Security teams often struggle to keep up, unable to see which agents exist and whether they introduce security or compliance risks. Without proper oversight, agent sprawl increases the attack surface and makes it harder to manage these non-human identities. To address this challenge, we’re announcing the public preview of Microsoft Entra Agent ID, a new capability in the Microsoft Entra admin center that gives security admins visibility and control over AI agents built with Copilot Studio and Azure AI Foundry. With Microsoft Entra Agent ID, an agent created through Copilot Studio or Azure AI Foundry is automatically assigned an identity with no additional work required from the developers building them. This is the first step in a broader initiative to manage and protect non-human identities as organizations continue to build AI agents. : Security and identity admins can gain visibility into AI agents built in Copilot Studio and Azure AI Foundry in the Microsoft Entra Admin Center This new capability lays the foundation for more advanced capabilities coming soon to Microsoft Entra. We also know that no one can do it alone. Security has always been a team sport, and that’s especially true as we enter this new era of protecting AI agents and their identities. We’re energized by the momentum across the industry; two weeks ago, we announced support for the Agent-to-Agent (A2A) protocol and began collaborating with partners to shape the future of AI identity workflows. Today, we’re also excited to announce new partnerships with ServiceNow and Workday. As part of this, we’ll integrate Microsoft Entra Agent ID with the ServiceNow AI Platform and the Workday Agent System of Record. This will allow for automated provisioning of identities for future digital employees. Learn more about Microsoft Entra Agent ID. Microsoft Defender security alerts and recommendations now available in Azure AI Foundry As more AI applications are deployed to production, organizations need to predict and prevent potential AI threats with natively integrated security controls backed by industry-leading Gen AI and threat intelligence for AI deployments. Developers need critical signals from security teams to effectively mitigate security risks related to their AI deployments. When these critical signals live in separate systems outside the developer experience, this can create delays in mitigation, leaving opportunities for AI apps and agents to become liabilities and exposing organizations to various threats and compliance violations. Now in preview, Microsoft Defender for Cloud integrates AI security posture management recommendations and runtime threat protection alerts directly into the Azure AI Foundry portal. These capabilities, previously announced as part of the broader Microsoft Defender for Cloud solution, are extended natively into Azure AI Foundry enabling developers to access alerts and recommendations without leaving their workflows. This provides real-time visibility into security risks, misconfigurations, and active threats targeting their AI applications on specific Azure AI projects, without needing to switch tools or wait on security teams to provide details. Security insights from Microsoft Defender for Cloud help developers identify and respond to threats like jailbreak attacks, sensitive data leakage, and misuse of system resources. These insights include: AI security posture recommendations that identify misconfigurations and vulnerabilities in AI services and provide best practices to reduce risk Threat protection alerts for AI services that notify developers of active threats and provide guidance for mitigation, across more than 15 detection types For example, a developer building an AI-powered agent can receive security recommendations suggesting the use of Azure Private Link for Azure AI Services resources. This reduces the risk of data leakage by handling the connectivity between consumers and services over the Azure backbone network. Each recommendation includes actionable remediation steps, helping teams identify and mitigate risks in both pre- and post-deployment phases. This helps to reduce risks without slowing down innovation. : Developers can view security alerts on the Risks + alerts page in Azure AI Foundry : Developers can view recommendations on the Guardrails + controls page in Azure AI Foundry This integration is currently in preview and will be generally available in June 2025 in Azure AI Foundry. Learn more about protecting AI services with Microsoft Defender for Cloud. Microsoft Purview capabilities extended to secure and govern data in custom-built AI apps and agents Data oversharing and leakage are among the top concerns for AI adoption, and central to many regulatory requirements. For organizations to confidently deploy AI applications and agents, both low code and pro code developers need a seamless way to embed security and compliance controls into their AI creations. Without simple, developer-friendly solutions, security gaps can quickly become blockers, delaying deployment and increasing risks as applications move from development to production. Today, Purview is extending its enterprise-grade data security and compliance capabilities, making it easier for both low code and pro code developers to integrate data security and compliance into their AI applications and agents, regardless of which tools or platforms they use. For example, with this update, Microsoft Purview DSPM for AI becomes the one place data security teams can see all the data risk insights across Microsoft Copilots, agents built in Agent Builder and Copilot Studio, and custom AI apps and agents built in Azure AI Foundry and other platforms. Admins can easily drill into security and compliance insights for specific AI apps or agents, making it easier to investigate and take action on potential risks. : Data security admins can now find data security and compliance insights across Microsoft Copilots, agents built with Agent Builder and Copilot Studio, and custom AI apps and agents in Microsoft Purview DSPM for AI In the following sections, we will provide more details about the updates to Purview capabilities in various AI workloads. 1. Microsoft Purview data security and compliance controls can be extended to any custom-built AI application and agent via the new Purview SDK or the native Purview integration with Azure AI Foundry. The new capabilities make it easy and effortless for security teams to bring the same enterprise-grade data security compliance controls available today for Microsoft 365 Copilot to custom AI applications and agents, so organizations can: Discover data security risks, such as sensitive data in user prompts, and data compliance risks, such as harmful content, and get recommended actions to mitigate risks proactively in Microsoft Purview Data Security Posture Management (DSPM) for AI. Protect sensitive data against data leakage and insider risks with Microsoft Purview data security policies. Govern AI interactions with Audit, Data Lifecycle Management, eDiscovery, and Communication Compliance. Microsoft Purview SDK Microsoft Purview now offers Purview SDK, a set of REST APIs, documentation, and code samples, currently in preview, enabling developers to integrate Purview's data security and compliance capabilities into AI applications or agents within any integrated development environment (IDE). : By embedding Purview APIs into the IDE, developers help enable their AI apps to be secured and governed at runtime For example, a developer building an AI agent using an AWS model can use the Purview SDK to enable their AI app to automatically identify and block sensitive data entered by users before it’s exposed to the model, while also providing security teams with valuable signals that support compliance. With Purview SDK, startups, ISVs, and partners can now embed Purview industry-leading capabilities directly into their AI software solutions, making these solutions Purview aware and easier for their customers to secure and govern data in their AI solutions. For example, Infosys Vice President and Delivery Head of Cyber Security Practice, Ashish Adhvaryu indicates, “Infosys Cyber Next platform integrates Microsoft Purview to provide enhanced AI security capabilities. Our solution, the Cyber Next AI assistant (Cyber Advisor) for the SOC analyst, leverages Purview SDK to drive proactive threat mitigation with real-time monitoring and auditing capabilities. This integration provides holistic AI-assisted protection, enhancing cybersecurity posture." Microsoft partner EY (previously known as Ernst and Young) has also leveraged the new Purview SDK to embed Purview value into their GenAI initiatives. “We’re not just building AI tools, we are creating Agentic solutions where trust, security, and transparency are present from the start, supported by the policy controls provided through the Purview SDK. We’re seeing 25 to 30 percent time savings when we build secure features using the Purview SDK,” noted Sumanta Kar, Partner, Innovation and Emerging Tech at EY. Learn more about the Purview SDK. Microsoft Purview integrates natively with Azure AI Foundry Organizations are developing an average of 14 custom AI applications. The rapid pace of AI innovation may leave security teams unaware of potential data security and compliance risks within their environments. With the update announced today, Azure AI Foundry signals are now directly integrated with Purview Data Security Posture Management for AI, Insider Risk Management, and data compliance controls, minimizing the need for additional development work. For example, for AI applications and agents built with Azure AI Foundry models, data security teams can gain visibility into AI usage and data risks in Purview DSPM for AI, with no additional work from developers. Data security teams can also detect, investigate, and respond to both malicious and inadvertent user activities, such as a departing employee leveraging an AI agent to retrieve an anomalous amount of sensitive data, with Microsoft Purview Insider Risk Management (IRM) policies. Lastly, user prompts and AI responses in Azure AI apps and agents can now be ingested into Purview compliance tools as mentioned above. Learn more about Microsoft Purview for Azure AI Foundry. 2. Purview data protections extended to Copilot Studio agents grounded in Microsoft Dataverse data Coming to preview in June, Purview Information Protection extends auto-labeling and label inheritance coverage to Dataverse to help prevent oversharing and data leaks. Information Protection makes it easier for organizations to automatically classify and protect sensitive data at scale. A common challenge is that sensitive data often lands in Dataverse from various sources without consistent labeling or protection. The rapid adoption of agents built using Copilot Studio and grounding data from Dataverse increases the risk of data oversharing and leakage if data is not properly protected. With auto-labeling, data stored in Dataverse tables can be automatically labeled based on policies set in Microsoft Purview, regardless of its source. This reduces the need for manual labeling effort and protects sensitive information from the moment it enters Dataverse. With label inheritance, AI agent responses grounded in Dataverse data will automatically carry and honor the source data’s sensitivity label. If a response pulls from multiple tables with different labels, the most restrictive label is applied to ensure consistent protection. For example, a financial advisor building an agent in Copilot Studio might connect multiple Dataverse tables, some labeled as “General” and others as “Highly Confidential.” If a response pulls from both, it will inherit the most restrictive label, in this case, "Highly Confidential,” to prevent unauthorized access and ensure appropriate protections are applied across both maker and users of the agent. Together, auto-labeling and label inheritance in Dataverse support a more secure, automated foundation for AI. : Sensitivity labels will be automatically applied to data in Dataverse : AI-generated responses will inherit and honor the source data’s sensitivity labels Learn more about protecting Dataverse data with Microsoft Purview. 3. Purview DSPM for AI can now provide visibility into unauthenticated interactions with Copilot Studio agents As organizations increasingly use Microsoft Copilot Studio to deploy AI agents for frontline customer interactions, gaining visibility into unauthenticated user interactions and proactively mitigating risks becomes increasingly critical. Building on existing Purview and Copilot Studio integrations, we’ve extended DSPM for AI and Audit in Copilot Studio to provide visibility into unauthenticated interactions, now in preview. This gives organizations a more comprehensive view of AI-related data security risks across authenticated and unauthenticated users. For example, a healthcare provider hosting an external, customer-facing agent assistant must be able to detect and respond to attempts by unauthenticated users to access sensitive patient data. With these new capabilities in DSPM for AI, data security teams can now identify these interactions, assess potential exposure of sensitive data, and act accordingly. Additionally, integration with Purview Audit provides teams with seamless access to information needed for audit requirements. : Gain visibility into all AI interactions, including those from unauthenticated users Learn more about Purview for Copilot Studio. 4. Purview Data Loss Prevention extended to more Microsoft 365 agent scenarios To help organizations prevent data oversharing through AI, at Ignite 2024, we announced that data security admins could prevent Microsoft 365 Copilot from using certain labeled documents as grounding data to generate summaries or responses. Now in preview, this control also extends to agents published in Microsoft 365 Copilot that are grounded by Microsoft 365 data, including pre-built Microsoft 365 agents, agents built with the Agent Builder, and agents built with Copilot Studio. This helps ensure that files containing sensitive content are used appropriately by AI agents. For example, confidential legal documents with highly specific language that could lead to improper guidance if summarized by an AI agent, or "Internal only” documents that shouldn’t be used to generate content that can be shared outside of the organization. : Extend data loss prevention (DLP) policies to Microsoft 365 Copilot agents to protect sensitive data Learn more about Data Loss Prevention for Microsoft 365 Copilot and agents. The data protection capabilities we are extending to agents in Agent Builder and Copilot Studio demonstrate our continued investment in strengthening the Security and Governance pillar of the Copilot Control System (CSS). CCS provides integrated controls to help IT and security teams secure, manage, and monitor Copilot and agents across Microsoft 365, spanning governance, management, and reporting. Learn more here. Explore additional resources As developers and security teams continue to secure AI throughout its lifecycle, it’s important to stay ahead of emerging risks and ensure protection. Microsoft Security provides a range of tools and resources to help you proactively secure AI models, apps, and agents from code to runtime. Explore the following resources to deepen your understanding and strengthen your approach to AI security: Learn more about Security for AI solutions on our webpage Learn more about Microsoft Purview SDK Get started with Azure AI Foundry Get started with Microsoft Entra Get started with Microsoft Purview Get started with Microsoft Defender for Cloud Get started with Microsoft 365 Copilot Get started with Copilot Studio Sign up for a free Microsoft 365 E5 Security Trial and Microsoft Purview Trial 1 Predicts 2025: Navigating Imminent AI Turbulence for Cybersecurity, Jeremy D'Hoinne, Akif Khan, Manuel Acosta, Avivah Litan, Deepak Seth, Bart Willemsen, 10 February 2025 2 IBM. "Cost of a Data Breach 2024: Financial Industry." IBM Think, 13 Aug. 2024, https://www.ibm.com/think/insights/cost-of-a-data-breach-2024-financial-industry; Cser, Tamas. "The Cost of Finding Bugs Later in the SDLC." Functionize, 5 Jan. 2023, https://www.functionize.com/blog/the-cost-of-finding-bugs-later-in-the-sdlc
