Retired: The Data Loss Prevention Ninja Training is here!
August 2025: New Ninja training can be found at https://aka.ms/DLPNinja RETIRED July 2025: Under Construction for new hosting location The Microsoft Purview Data Loss Prevention Ninja Training is here! We are very excited and pleased to announce this rendition of the Ninja Training Series. With all the other training out there, our team has been working diligently to get this content out there. There are several videos and resources out there and the overall purpose of the Microsoft Purview Data Loss Prevention Ninja training is to help you master this realm. We aim to get you up-to-date links to the community blogs, training videos, Interactive Guides, learning paths, and any other relevant documentation. To make it easier for you to start and advance your knowledge gradually without throwing you in deep waters, we split content in each offering into three levels: beginner, intermediate, and advanced. Please find the Microsoft Purview Information Protection Ninja Training here. In addition, after each section, there will be a knowledge check based on the training material you’d have just finished! Since there’s a lot of content, the goal of these knowledge checks is to help you determine if you were able to get a few of the major key takeaways. There’ll be a fun certificate issued at the end of the training: Disclaimer: This is NOT an official Microsoft certification and only acts as a way of recognizing your participation in this training content. Lastly, this training will be updated one to two times a year to ensure you all have the latest and greatest material! If there's any topic you'd like for us to include and/or have any thoughts on this training, please let us know what you think below in the comments! Legend/Acronyms (D) Microsoft Documentation (V) Video (B) Blog (P) PDF (S) Site (SBD) Scenario Based Demo (Video) (DAG) Deployment Acceleration Guide MIP Microsoft Information Protection (old terminology for Microsoft Purview Information Protection) AIP Azure Information Protection ULC Unified Labeling Client SIT Sensitive Information Type RBAC Role-based access control eDLP Endpoint DLP OME Office 365 Message Encryption EDM Exact Data Match DLP Data Loss Prevention SPO SharePoint Online OCR Optical character recognition MCAS Microsoft Cloud App Security (old terminology for Microsoft Defender for Cloud Apps) TC Trainable Classifiers ODSP OneDrive SharePoint EXO Exchange Online Microsoft Purview Data Loss Prevention (DLP) Microsoft’s DLP solution provides a broad range of capabilities to address the modern workplace and the unique challenges represented by these very different scenarios. One of the key investment areas is in providing a unified and comprehensive solution across the many different kinds of environments and services where sensitive data is stored, used or shared. This includes platforms native to Microsoft and also non-Microsoft services and apps. Beginner Training Public forums to contact the overall information protection team Yammer Tech Community Introducing Microsoft Purview (V) In this video, hear from Microsoft executives on this new product family and our vision for the future of data governance. Introduction to Microsoft Purview Data Loss Prevention? (V) In this video, you’ll find an overview on Microsoft Purview Data Loss Prevention. Quick overview on new Exchange DLP Predicates (V) This video provides a quick walk through on creating an Exchange DLP policy and a soft focus on the new predicates and actions. Microsoft Purview Information Protection Framework (D) Check out the above documentation to see how Microsoft Purview Information Protection uses 3 pillars to deploy an information protection solution. Protect Data with Zero Trust (LP) Zero Trust isn't a tool or product, it's an essential security strategy, with data at its core. Here, you'll learn how to identify and protect your data using a Zero Trust approach. Learn about data loss prevention (D) Learn about DLP basics and Microsoft Unified DLP and why it’s uniquely positioned to protect your data in the cloud. How to secure your data with Microsoft Security (V) The above video is a quick summary on how to protect your data. Microsoft Purview Information Protection and Data Loss Prevention Roadmap (S) Please check out the above site on the latest items on our public roadmap. Microsoft Purview Information Protection support for PDF and GitHub (V) and Ignite Conversation (V) The above videos walk through announcements regarding support for PDF and GitHub Microsoft Defender for Cloud Apps integration (D) Please visit the above documentation to learn more about how Microsoft Purview Information Protection integrates with Microsoft Defender for Cloud Apps Trainable Classifiers (D) Check out the documentation to create custom trainable classifiers. Retrain a classifier in content explorer (D) The above documentation shows you how to improve the performance of custom trainable classifiers by providing them more feedback. Explain data loss prevention reporting capabilities (LP) The above learning path walks you through reporting in the Microsoft Purview Compliance Portal. Review and analyze data loss prevention reports (LP) The above learning path walks you through analyzing reports in the Microsoft Purview Compliance Portal. Beginner Knowledge Check Intermediate Training Microsoft Compliance Extension for Chrome (B) aka Microsoft Purview Extension (D) Please check out the above blog and Microsoft Doc to understand what we’re doing to expand our DLP capabilities to Chrome. Microsoft Purview extension for Firefox (D) The above documentation details procedures to roll out the Microsoft Purview extension for Firefox. Data Loss Prevention and Endpoint DLP (V) This video details how Microsoft approaches information protection across Files, emails, Teams, endpoints and others. How DLP works between the Compliance portal and Exchange admin center (D) You can create a data loss prevention (DLP) policy in two different admin centers; the above document walks through the differences and similarities. Data Loss Prevention across endpoints, apps, & services | Microsoft Purview (V) This video walks you through how to protect sensitive data everywhere you create, view, and access information with one Data Loss Prevention policy in Microsoft Purview. Data Loss Prevention Policy Tips Reference Guide (D) and Quick Overview (V) Please check out the above documentation and short video on where we support policy tips. Create a DLP Policy for Microsoft 365 Online Services (IG) Please use the above interactive guide to see how to create DLP policies. Apply Microsoft Purview Endpoint DLP to Devices (IG) Please use the above interactive guide to see how to create Endpoint DLP policies. Sites for testing documentation (S) The above site details locations where you can get sample data. Scope of DLP Protection for Microsoft Teams (D) The above documentation walks through how DLP protection is applied differently to Teams entities. Manage DLP alerts in the Microsoft Purview compliance portal (LP) The above learning path walks you through managing DLP alerts. Endpoint activities you can monitor and best practices (LP) The above learning path walks you through Endpoint DLP activities and best practices. Troubleshoot and Manage Microsoft Purview Data Loss Prevention for your Endpoint Devices (B) The above blog goes through a quick guide to troubleshooting Endpoint DLP. Microsoft Purview DLP Interactive Guides (IG) Please visit the above home page to see the latest interactive guides walking you through DLP. Learn how to investigate Microsoft Purview Data Loss Prevention alerts in Microsoft 365 Defender (B) This blog is a step-by-step guided walkthrough of the Microsoft 365 Defender Analyst experience for Microsoft Purview Data Loss Prevention (DLP) incident management. Intermediate Knowledge Check Advanced Training Microsoft Defender for Cloud Apps and Data Loss Preventions (D) Please check out the documentation above detailing how the integration to Microsoft Defender for Cloud Apps further enhances your data loss prevention plan. Power BI: Learn about centralized data loss prevention policies (V) This video highlights DLP capabilities with Power BI. Take a unified and comprehensive approach to prevent data exfiltration with Microsoft (V) This video helps show how we can help you prevent unauthorized sharing, use, and transfer of sensitive information across your applications, services, endpoints, and on-premises file shares – all from a single place. Onboard macOS devices into Microsoft 365 (D), capability announcement (B), and additional screengrabs (B) Please use the documentation above to deploy macOS devices into Endpoint DLP and check out the blog to see a few screengrabs on how the user experience. Troubleshooting Guides (D) Resolve issues that affect DLP policy tips Changes to a data loss prevention policy don't take effect in Outlook 2013 in Microsoft 365 DLP policy tips in Security and Compliance Center don't work in OWA/Outlook How to troubleshoot data loss prevention policy tips in Exchange Online Protection in Microsoft 365 Please check out the below documentation to find guides on common issues. Securing data in an AI-first world with Microsoft Purview (B) The above blog details some new updates on AI with Microsoft Purview. Common questions on Microsoft Purview Data Loss Prevention for endpoints (B) This guide covers the top-of-mind FAQs on Microsoft Purview Data Loss Prevention for endpoints (referred to as Endpoint DLP in the blog). Guidance for investigating Microsoft Purview Data Loss Prevention incidents (B) This blog provides guidance for choosing the best investigation experience suited for your organization when using Microsoft Purview Data Loss Prevention. Data Loss Prevention: From on-premises to cloud (PDF) This whitepaper focuses on why you should move to cloud-native data loss prevention. The Microsoft Purview DLP Migration Assistant for Symantec (IG) Follow the above IG to get guidance on migrating from Symantec to Microsoft Purview DLP. Migrating from Windows Information Protection to Microsoft Purview (B) The above blog gives guidance on how to migrate from WIP to the Microsoft Purview stack. Insider Risk in Conditional Access | Microsoft Entra + Microsoft Purview Adaptive Protection (V) The above video goes through how to protect your organization from insider threats with Microsoft Entra's Conditional Access and Adaptive Protection in Microsoft Purview. Please check out this link for a blog with more details. (B) Protect sensitive data throughout its Copilot journey (B) The above details how the native integration enables organizations to leverage the power of GenAI when working with sensitive data as Copilot can understand and honor the controls such as encryption and provide comprehensive visibility into usage. Protect at the speed and scale of AI with Copilot for Security in Microsoft Purview (B) The above blog details the embedded experiences of Copilot for Security in Microsoft Purview (Communication Compliance, Data Loss Prevention, Insider Risk Management, and eDiscovery. Strengthen protection to mitigate data overexposure in GenAI tools with data classification/labeling (B) The blog above goes into detail on OCR, its cost, and how it goes into the AI Realm with Microsoft Purview Information Protection and Data Loss Prevention. Microsoft Purview Exact Data Match (EDM) support for multi-token corroborative evidence (B) The above blog goes into the new feature that improves the accuracy and effectiveness of EDM detection. Advanced Knowledge Check Once you’ve finished the training and the knowledge checks, please go to our attestation portal to generate your certificate; you'll see it in your inbox within 3-5 business days (Coming Soon). We hope you enjoy this training!What’s New in Microsoft Purview eDiscovery
As organizations continue to navigate increasingly complex compliance and legal landscapes, Microsoft Purview eDiscovery is adapting to address these challenges. New and upcoming enhancements will improve how legal and compliance teams manage cases, streamline workflows, and reduce operational friction. Here’s a look at some newly released features and some others that are coming soon. Enhanced Reporting in Modern eDiscovery The modern eDiscovery experience now offers comprehensive reporting capabilities that capture every action taken within a case. This creates an auditable record of actions, enabling users to manage case activities confidently and accurately. These enhancements are critical for defensibility and audit readiness, and they also help users better understand the outcomes of their searches based on the options and settings they selected. Recent improvements include: Compliance boundary visibility: The Summary.csv report now includes the compliance boundary settings that were applied to the search query. This helps clarify search results, especially when different users have varying access permissions across data locations. Decryption settings: Visibility has been added to the Settings.csv report to indicate if a specific process has Exchange or SharePoint decryption capabilities enabled. This ensures users can verify whether encrypted content can be successfully decrypted during the process of adding to a review set or export. Visibility into Premium feature usage: There is a new value in the Settings.csv report that indicates whether Premium features were enabled for the process. Improved clarity: The Items.csv report now includes an "Added by" column to understand how the item was identified. This column shows if items were included by direct search (IndexedQuery), partial indexing (UnindexedQuery), or advanced indexing (AdvancedIndex). Contextual information: The Summary.csv report helps users understand their exported data by providing contextual explanations. For instance, it explains how the volume of exported data may be greater than the search estimate due to factors such as cloud attachments or multiple versions of SharePoint documents. Copy Search to Hold: Reuse with Confidence Another commonly requested feature that is now available is the ability to create a hold from a search. If your workflow starts with searches before creating holds, you can use the new, “Create a hold” button to create a new hold policy based on that search. Depending on your workflow, it can be effective to start off with a broad, high-level search across the entire data source to quickly surface potentially relevant content and gauge the approximate amount of data that may need review. For example, in a litigation scenario, you may want to search across the entire mailbox and OneDrive of custodians that are of interest. Once the preservation obligation is triggered, this new feature easily allows you to copy your search and create a hold to preserve the content, streamlining your workflow and enhancing efficiency. Whether you begin with a highly targeted search or something broader, this feature reduces duplication of effort and ensures consistency across processes when you want to turn an existing search into a hold. Retry Failed Locations: Easily Address Processing Issues Searches can occasionally encounter issues due to temporarily inaccessible locations. The new “Retry failed locations” feature introduces a simple, automated way to reprocess those issues without restarting the entire job. When you retry the failed locations, the results will be aggregated with the original job to provide a comprehensive overview. This feature is particularly beneficial for administrators, allowing them to efficiently retry the search while ensuring continuity in their workflow. Duplicate Search: Consistency Made Easy Save time and reduce rework by duplicating an existing search with just a few mouse clicks. Whether you're building on a previous query or rerunning it with slight adjustments, this new feature lets you preserve all original parameters, such as conditions, data sources, and locations, so you can move faster with confidence and consistency. Administrators and users simply click the “Duplicate search” button while on an existing search and then rename it. Case-Level Data Source Management: The New Data Sources Tab We recently introduced a new case-level Data Sources view in Purview eDiscovery, allowing data sources to be reused in searches and holds within a case. This enhancement allows case administrators to map and manage all relevant data locations, including mailboxes, SharePoint sites, Teams channels, and more, directly within a case. Once data sources have been added, it greatly simplifies the process of creating searches. Adding data sources within the Data Sources tab enables administrators to select from a list of previously added sources when creating new searches, rather than searching for them each time. This feature is especially useful for frequent searches across the same data sources, which happens often within eDiscovery. With this feature, users can: Visualize all data sources tied to a case. Use data source locations to populate searches and eDiscovery hold policies. Simplify the search creation process for administrators and users. This new functionality empowers teams to make more informed decisions about what to preserve, search, and review. Delete Searches and Search Exports: Keep Your Case Well Organized A newly released feature is one that helps you remove outdated or redundant searches from a case, helping keep the workspace clean and focused. With just a few clicks, you can delete searches that are no longer relevant, helping you stay focused on what matters most without extra clutter. Whether you're tidying up after a project or clearing out test runs, deletion helps keep you organized. hot showing how to delete a search. Another new feature enables users to delete search exports. This functionality is intended to assist with the management of case data and to remove unnecessary or outdated search exports, including sensitive information that is no longer required. Condition Builder Enhancements for Logical Operators (AND, OR, NEAR) The Condition Builder now supports logical operators—AND, OR, and NEAR—all within the same line, or grid. These enhancements empower users to construct more targeted search conditions and offer increased control over the use of phrases, enabling additional options over how terms are combined and matched, and proving greater flexibility to keyword queries. Tenant level control over Premium Features An upcoming enhancement will introduce a tenant-level setting to allow organizations to set the default behavior for new case creation and whether to use Premium features by default. This will provide greater flexibility and control, especially for customers that are in a mixed-license environment. Export Naming and Controlling Size of Exports A couple more upcoming enhancements are intended to give users more control and additional options over the export process, increasing flexibility for legal and compliance teams. First, export packages will include the user-defined export name directly in the download package. This small but impactful change simplifies tracking and association of exported data with specific cases. This is especially useful when managing multiple exports across different cases. Second, a new configuration setting will allow administrators to define a maximum export package size. This gives teams greater control over how data is partitioned, helping to optimize performance and reduce the risk of download issues or browser timeouts during large exports. Takeaways These updates are part of a broader modernization of the Purview eDiscovery experience, which includes a unified user experience, enhanced reporting, and a more streamlined and intuitive workflow for teams managing regulatory inquiries, litigation, or investigations. These enhancements aim to reduce friction, streamline workflows, and accelerate productivity. To learn more about thew new eDiscovery user experience, visit our Microsoft documentation at https://aka.ms/ediscoverydocsnew For more updates on the future of eDiscovery, please check out our product roadmap at https://aka.ms/ediscoveryroadmap To become a Purview eDiscovery Ninja, check out our eDiscovery Ninja Guide at: https://aka.ms/ediscoveryninja
Arcihtekt M365 // Ogłoszenie pracy
Kim jesteśmy? Technologia to nasza pasja, ale nie tylko! Wspieramy inicjatywy społeczne, ekologiczne i promujące aktywny styl życia. Jesteśmy laureatem prestiżowych nagród posiadamy certyfikat Great Place to Work, a na co dzień współpracujemy z globalnymi liderami IT - VMware, Fortinet, IBM, HPE, Dell, Hitachi, Microsoft, AWS. Nasz zespół tworzą utalentowani inżynierowie i doświadczeni architekci IT. Dołącz do nas i zostań częścią #ITSFteam! Kogo szukamy? Arhitekta M365, który dołączy do naszego zespołu i będzie odpowiedzialny za projektowanie, wdrażanie oraz zarządzanie rozwiązaniami opartymi na Microsoft 365. Idealny kandydat to osoba z doświadczeniem w architekturze chmurowych rozwiązań Microsoft, posiadająca umiejętność kompleksowego projektowania i optymalizacji procesów w obrębie aplikacji i usług M365, takich jak Teams, Sharepoint, Exchange Online, OneDrive, Power Platform czy Microsoft 365 Copilot. Warto od razu zaznaczyć, będzie to praca w modelu hybrydowym 4/1 w Warszawie. Co oferujemy? Współpaca bezpośrednio z nami na okres długofalowy (5+ lat); Możliwość rozwoju przy pracach dla największych klientów Enterprise w całym kraju; Pakiet medyczny Medicover; Karta Multisport; Program PPK; Lekcje angielskiego; Dodatkowy dzień urlopu z okazji urodzin; Około 8 integracji frmowych w roku :) Jeśli propozycja brzmi interesująco i chciałbyś poznać więcej szczegółów na temat wymagań, bądź zakresu obowiązków — to śmiało aplikuj przez link niżej: https://itsf.traffit.com/public/an/0ed08bcedcd522af2936290b48d33a9e48697565Secure 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 365PMPur
Hidden Group and Hidden Group Membership
Hi everyone! I have come across a requirement where the client would like to use an excel spreadsheet, a service account and application registration to manage group membership for a confidential group. They would like to create a group from which the members cannot leave, see other team members and cannot see the group itself. Now, I have the concept of the flow with me but for the life of me, I cannot get around to finding/configuring a group that meets the requirement. Have you guys come across this sort of scenario? Group Configuration: Users should not be able to view the group Users should not be able to view members of the group Users should not be able to leave the group Thanks in advance.
Ingesting Purview compliance DLP logs to Splunk
We are in the process of enabling Microsoft purview MIP DLP for a large-scale enterprise, and there is a requirement to push MIP DLP related alerts, incidents and data to Splunk SIEM. Could not find any specific documentation for the same. researched on this and found below solutions however not sure which could work to fit in our requirement: Splunk add on for Microsoft security is available: The Splunk Add-on for Microsoft Security is now available - Microsoft Community Hub but this does not talk about Purview DLP logs. This add-on is available for Splunk but only says MIP can be integrated however does not talk about DLP logs: https://splunkbase.splunk.com/app/4564 As per few articles we can also ingest Defender logs to Azure event hub then event hub can be connected to splunk. Above mentioned steps do not explain much about Ingestion of MIP DLP raw data or incidents. If anyone has done it in the past I will appreciate any input.
Issues with Sensitivity Labels and "Specific email addresses or domains" - Not working
Hello! We have enabled Sensitivity Labels in our tenant. The access control settings for the label states that a specific domain gets the permission "Co-Author". When we enable the Sensitivity label on a document and sent it towards the approved domain, it results in an error message when authenticating to open the document: "Selected user account does not exist in tenant 'Veni AS' and cannot access the application in that tenant. The account needs to be added as an external user in the tenant first. Please use a different account." After doing some research I did some changes to the external domain within the Cross-tenant settings. The external domain now has the following settings: Inbound access: Allow access on external users and groups, within B2B Collaboration Allow access on external users and groups, within B2B direct connect Trust multifactor authentication from Microsoft Entra tenants, within Trust settings. Outbound access: Allow access on users and groups, within B2B Collaboration Allow access on users and groups, within B2B direct connect External Identities: Block access for external users and groups. (Inherited from default) After doing this change, I no longer get the same error message as above when authenticating to open the labeled document. Now I get the following error message: "You are not signed in to office with an account that has permission to open this document. You may sign in a new account into Office that has permission or request permission from the content owner" I have this working from another tenant to the same external domain and I have cross-checked the settings. Any idea on how to proceed, or if it is any obvious change I need to make in order to get this to work? All feedback appreciated! :-)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 365
