Microsoft Purview Data Loss Prevention AMA: What's New in Endpoint DLP?
Catch up on the latest innovations in Microsoft Purview Data Loss Prevention (DLP) for endpoint devices. In this session, you'll get to dive deeper into new capabilities & enhancements with our product experts. Have any burning questions? Following the demos, our experts will open up the floor for the AMA session. RSVP today to learn how to: Expand visibility and protection beyond Microsoft 365 Simplify the day-to-day admin experience Further strengthen existing DLP protections What is an AMA? An 'Ask Microsoft Anything' (AMA) session is an opportunity for you to engage directly with Microsoft employees! This AMA will consist of a short presentation followed by taking questions on-camera from the comment section down below! Ask your questions/give your feedback and we will have our awesome Microsoft Subject Matter Experts engaging and responding directly in the video feed. We know this timeslot might not work for everyone, so feel free to ask your questions at any time leading up to the event and the experts will do their best to answer during the live hour. This page will stay up so come back and use it as a resource anytime. We hope you enjoy! Scroll down to ask questions!
Microsoft 365 & Windows 365 Outage - 2 Weeks
Our company's Microsoft 365 (including email) and Windows 365 licenses have been completely disabled for two weeks. This is severely impacting our business: clients can't email us, we can't send emails, and access to critical data on our virtual desktops is lost. We've contacted Microsoft multiple times with no resolution. This prolonged outage is causing significant operational paralysis and forcing data recreation. We urgently need assistance in understanding the cause and a swift resolution to restore our services. We have tried reactivating, and have attempted getting through a Microsoft partner, but nothing has helped. Any advice on escalating this critical issue would be greatly appreciated.
Announcing Public Preview of DLP for M365 Copilot in Word, Excel, and PowerPoint
Today, we are excited to announce the public preview of Data Loss Prevention (DLP) for M365 Copilot in Word, Excel, and PowerPoint. This development extends the capabilities you rely on for safeguarding data in M365 Copilot Chat, bringing DLP protections to everyday Copilot scenarios within these core productivity apps. Building on Our Foundation Data oversharing and leakage is a top concern for organizations using generative AI technology, and securing AI-based workflows can feel overwhelming. We’ve been laying a strong foundation with Microsoft Purview Data Loss Prevention—especially with DLP for M365 Copilot—and are excited to expand its reach to further reduce the risk of AI-related oversharing at scale. In the original public preview release, we enabled admins to configure DLP rules that block Copilot from processing or summarizing sensitive documents in M365 Copilot Chat. However, these controls didn’t extend to the powerful in-app Copilot experiences, such as rewriting text in Word, summarizing presentations in PowerPoint, or generating helpful formulas in Excel. That changes now with this public preview. The Next Phase of DLP for M365 Copilot Similar to our original approach for M365 Copilot Chat, we are bringing consistent, flexible protection to M365 Copilot for Word, Excel, and PowerPoint. Here’s how it works in this preview: Current file DLP checks: Copilot now respects sensitivity labels on an opened document or workbook. If a document has a sensitivity label and a DLP rule that excludes its content from Copilot processing, Copilot actions like summarizing or auto-generating content directly in the canvas are blocked. Chatting with Copilot is also unavailable. File reference DLP checks: When a user tries to reference other files in a prompt – like pulling data or slides from other labeled documents – Copilot checks DLP policies before retrieving the content. If there is a DLP policy configured to block Copilot processing of files with that file’s sensitivity label, Copilot will show an apology message rather than summarizing that content – so no accidental oversharing occurs. You can learn more about DLP for M365 Copilot here: Learn about the Microsoft 365 Copilot policy location (preview) Getting Started Enabling DLP for M365 Copilot in Word, Excel, and PowerPoint follows a setup similar to configuring DLP policies for other workloads. From the Purview compliance portal, you can configure the DLP policy for a specific sensitivity label at a file, group, site, and/or user level. If you have already enabled a DLP for M365 Copilot policy with the ongoing DLP for M65 Copilot Chat preview, no further action is needed – the policy will automatically begin to apply in Word, Excel, and PowerPoint Copilot experiences. In this preview, our focus is on ensuring reliability, performance, and seamless integration with the Office apps you use every day. We’ll continue to refine the user experience as we move toward general availability, including improvements to error messages and user guidance for each scenario. Join the Preview This public preview reflects our ongoing commitment to deliver robust data protection for AI-powered workflows. By extending the same DLP principles you trust to Word, Excel, and PowerPoint, we’re empowering you to embrace AI confidently without sacrificing control over your organization’s most valuable information. We invite you to start testing these capabilities in your environment. Your feedback is invaluable to us – we encourage all customers to share their experiences and insights, helping shape the next evolution of DLP for M365 Copilot in Office.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 policies to discover sensitive information in AI interactions by clicking into each of them and select “Create policies”. 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
Configuring Purview policy to email user's Leader for approval, using external HR Database
Hello, Wondering if anybody could confirm within Microsoft Purview if it is possible to: Have a DLP Policy configured with a Policy Tip Override and have it configured so if the email for example is blocked it sends a Notification to the users 'Leader' to either Accept or Deny it. If Accepted by the user's Leader, the content is released. In the same configuration have Purview user a Data Connector to say a SAP database that the HR Department uses or any type of external database to automatically determine the users leader??? If so, any Microsoft articles and or videos???? Also want this compatibility to also be used for any type of Policy for say a SIT, Sensitivity Label, Trainable Classifier etc. etc. Thank you kindly, JMicrosoft Purview: New data security controls for the browser & network
Protect your organization’s data with Microsoft Purview. Gain complete visibility into potential data leaks, from AI applications to unmanaged cloud services, and take immediate action to prevent unwanted data sharing. Microsoft Purview unifies data security controls across Microsoft 365 apps, the Edge browser, Windows and macOS endpoints, and even network communications over HTTPS — all in one place. Take control of your data security with automated risk insights, real-time policy enforcement, and seamless management across apps and devices. Strengthen compliance, block unauthorized transfers, and streamline policy creation to stay ahead of evolving threats. Roberto Yglesias, Microsoft Purview Principal GPM, goes beyond Data Loss Prevention Keep sensitive data secure no matter where it lives or travels. Microsoft Purview DLP unifies controls across Microsoft 365, browsers, endpoints, and networks. See how it works. Know your data risks. Data Security Posture Management (DSPM) in Microsoft Purview delivers a 360° view of sensitive data at risk, helping you proactively prevent data leaks and strengthen security. Get started. One-click policy management. Unify data protection across endpoints, browsers, and networks. See how to set up and scale data security with Microsoft Purview. Watch our video here. QUICK LINKS: 00:00 — Data Loss Prevention in Microsoft Purview 01:33 — Assess DLP Policies with DSPM 03:10 — DLP across apps and endpoints 04:13 — Unmanaged cloud apps in Edge browser 04:39 — Block file transfers across endpoints 05:27 — Network capabilities 06:41 — Updates for policy creation 08:58 — New options 09:36 — Wrap up Link References Get started at https://aka.ms/PurviewDLPUpdates Unfamiliar with Microsoft Mechanics? As Microsoft’s official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast Keep getting this insider knowledge, join us on social: Follow us on Twitter: https://twitter.com/MSFTMechanics Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics Video Transcript: -As more and more people use lesser known and untrusted shadow AI applications and file sharing services at work, the controls to proactively protect your sensitive data need to evolve too. And this is where Data Loss Prevention, or DLP, in Microsoft Purview unifies the controls to protect your data in one place. And if you haven’t looked at this solution in a while, the scope of protection has expanded to ensure that your sensitive data stays protected no matter where it goes or how it’s consumed with controls that extend beyond what you’ve seen across Microsoft 365. Now adding browser-level protections that apply to unmanaged and non-Microsoft cloud apps when sensitive information is shared. -For your managed endpoints, today file system operations are also protected on Windows and macOS. And now we are expanding detection to the network layer. Meaning that as sensitive information is shared into apps and gets transmitted over web protocols, as an admin, you have visibility over those activities putting your information at risk, so you can take appropriate action. Also, Microsoft Purview data classification and policy management engines share the same classification service. Meaning that you can define the sensitive information you care about once, and we will proactively detect it even before you create any policies, which helps you streamline creating policies to protect that information. -That said, as you look to evolve your protections, where do you even start? Well, to make it easier to prioritize your efforts, Data Security Posture Management, or DSPM, provides a 360 degree view of data potentially at risk and in need of protection, such as potential data exfiltration activities that could lead to data loss, along with unprotected sensitive assets across data sources. Here at the top of the screen, you can see recommendations. I’ll act on this one to detect sensitive data leaks to unmanaged apps using something new called a Collection Policy. More on how you can configure this policy a bit later. -With the policy activated, new insights will take up to a day to reflect on our dashboard, so we’ll fast forward in time a little, and now you can see a new content category at the top of the chart for sensitive content shared with unmanaged cloud apps. Then back to the top, you can see the tile on the right has another recommendation to prevent users from performing cumulative exfiltration activities. And when I click it, I can enable multiple policies for both Insider Risk Management and Data Loss Prevention, all in one click. So DSPM makes it easier to continually assess and expand the protection of your DLP policies. And there’s even a dedicated view of AI app-related risks with DSPM for AI, which provides visibility into how people in your organization are using AI apps and potentially putting your data at risk. -Next, let me show you DLP in action across different apps and endpoints, along with the new browser and network capabilities. I’ll demonstrate the user experience for managed devices and Microsoft 365 apps when the right controls are in place. Here I have a letter of intent detailing an upcoming business acquisition. Notice it isn’t labeled. I’ll open up Outlook, and I’ll search for and attach the file we just saw. Due to the sensitivity of the information detected in the document, it’s fired up a policy tip warning me that I’m out of compliance with my company policy. Undeterred, I’ll type a quick message and hit send. And my attempt to override the warning is blocked. -Next, I’ll try something else. I’ll go back to Word and copy the text into the body of my email, and you’ll see the same policy tip. And, again, I’m blocked when I still try to send that email. These protections also extend to Teams chat, Word, Excel, PowerPoint and more. Next, let me show you how protections even extend to unmanaged cloud apps running in the Edge browser. For example, if you want to use a generative AI website like you’re seeing here with DeepSeek, even if I manually type in content that matches my Data Loss Prevention policy, you’ll see that when I hit submit, our Microsoft Purview policy blocks the transmission of this content. This is different from endpoint DLP, which can protect file system operations like copy and paste. These Edge browser policies complement existing endpoint DLP protections in Windows and macOS. -For example, here I have the same file with sensitive information that we saw before. My company uses Microsoft Teams, but a few of our suppliers use Slack, so I’ll try to upload my sensitive doc into Slack, and we see a notification that my action is blocked. And since these protections are on the file and run in the file system itself, this would work for any app. That said, let’s try another operation by copying the sensitive document to my removable USB drive. And here I’m also blocked. So we’ve seen how DLP protections extend to Microsoft 365 apps, managed browsers, and file systems. -Additionally, new protections can extend to network communication protocols when sharing information with local apps running against web services over HTTPS. In fact, here I have a local install of the ChatGPT app running. As you see, this is not in a browser. In this case, if I unintentionally add sensitive information to my prompt, when it passes the information over the network to call the ChatGPT APIs, Purview will be able to detect it. Let’s take a look. If I move over to DSPM for AI in Microsoft Purview, as an admin, I have visibility into the latest activity related to AI interactions. If I select an activity which found sensitive data shared, it displays the user and app details, and I can even click into the interaction details to see exactly what was shared in the prompt as well as what specifically was detected as sensitive information on it. This will help me decide the actions we need to take. Additionally, the ability to block sharing over network protocols is coming later this year. -Now, let’s switch gears to the latest updates for policy creation. I showed earlier setting up the new collection policy in one click from DSPM. Let me show you how we would configure the policy in detail. In Microsoft Purview, you can set this up in Data Loss Prevention under Classifiers on the new Collection Policies page. These policies enable you to tailor the discovery of data and activities from the browser, network, and devices. You can see that I already have a few created here, and I’ll go ahead and create a new one right from here. -Next, for what data to detect, I can choose the right classifiers. I have the option to scope these down to include specific classifiers, or include all except for the ones that I want to exclude. I’ll just keep them all. For activities to detect, I can choose the activities I want. In this case, I’ll select text and files shared with a cloud or AI app. Now, I’ll hit add. And next I can choose where to collect the data from. This includes connected data sources, like devices, Copilot experiences, or Enterprise AI apps. The unmanaged cloud apps tab uses the Microsoft Defender for Cloud Apps catalog to help me target the applications I want in scope. -In this case, I’ll go ahead and select all the first six on this page. For each of these applications, I can scope which users this policy applies to as a group or separately. I’ll scope them all together for simplicity. Here I have the option to include or exclude users or groups from the policy. In this case, I’ll keep all selected and save it. Next, I have the option of choosing whether I want AI prompt and responses that are detected to be captured and preserved in Purview. This enabled the experience we saw earlier of viewing the full interaction. -Finally, in mode, you can turn the policy on. Or if you leave it off, this will save it so that you can enable it later. Once I have everything configured, I just need to review and create my policy, and that’s it. In addition, as you create DLP policies, you’ll notice new corresponding options. Let me show you the main one. For each policy, you’ll now be asked what type of data you want to protect. First is data stored in connected sources. This includes Microsoft 365 and endpoint policies, which you’re likely already using now. The new option is data in browser and network activity. This protects data in real-time as it’s being used in the browser or transmitted over the network. From there, configuring everything else in the policy should feel familiar with other policies you’ve already defined. -To learn more and get started with how you can extend your DLP protections, check out aka.ms/PurviewDLPUpdates. Keep checking back to Microsoft Mechanics for all the latest updates and thanks for watching.Simplify & scale data protection in the era of AI with Microsoft Purview Data Loss Prevention
Securing the use of AI may be a daunting charter for many security teams, but it is clear and present need in the modern workplace: 40% of organizations report that their AI apps have already been breached or compromised in a data security incident [1]. As AI technology drives data generation in unprecedented volumes, the need to secure organizational data and prevent loss of sensitive information becomes even more crucial. We believe that a scalable and proactive data security strategy for AI starts with a strong DLP foundation. That's why we continue to invest in data loss prevention that adapts and scales to the contemporary challenges faced by data security teams. Today, Microsoft Purview Data Loss Prevention is announcing several new capabilities that extend DLP protections to new surfaces such as Microsoft 365 Copilot, unlock insights and investigation abilities for DLP admins by leveraging AI, and fortify core data loss prevention controls & coverage: Extended protection: New capabilities that extend our best-of-breed data protection across your modern data ecosystem, including the introduction of DLP controls for Microsoft 365 Copilot and enhancements to endpoint DLP controls on macOS. Strengthened protection: Capabilities that strengthen core data protections on endpoint devices, including expanding file type coverage for endpoint DLP and new blanket protections for non-scannable file types. Streamlined investigation & insights: Capabilities designed to simplify the admin experience as you investigate DLP incidents and look to address gaps in protection, such as new Security Copilot skills in Purview and the new Power Automate connector. Introducing Microsoft Purview Data Loss Prevention for Microsoft 365 Copilot Data oversharing and leakage is top of mind for organizations adopting generative AI technologies, including Microsoft 365 Copilot – 80% of business leaders cite data leakage by employees using AI as their top concern regarding generative AI adoption. [2] Today, we are excited to announce Microsoft Purview DLP for Microsoft 365 Copilot in public preview to help reduce the risk of AI-related oversharing at scale. With DLP for M365 Copilot, data security admins can now create DLP policies to exclude documents with specified sensitivity labels from being summarized or used in responses in M365 Copilot Business Chat. This capability, which currently works with Office files and PDFs in SharePoint, helps ensure that potentially-sensitive content within a labeled document is not readily available to users to copy and paste into other applications or processed by M365 Copilot for grounding data. An example of such content includes confidential legal documents with highly specific semantic that could lead to improper guidance if summarized by AI or modified by end users. This can also apply to "Internal only” documents with data that shouldn’t be copy & pasted into emails sent outside of the organization. This capability can be configured for a specific sensitivity label at a file, group, site, and/or user level, giving you the flexibility to scope the policy based on the needs of your organization. For example, if you have users who are privy to a Merger and Acquisition (M&A) and scoped into an M&A group, you can design your DLP for M365 Copilot policy to prevent Copilot from summarizing M&A-labeled documents for everyone except those in the M&A group. As a reminder, M365 Copilot already has the ability to honor Microsoft Purview Information Protection sensitivity label access settings such as item-level view and extract restrictions when referencing sensitive documents. With this new DLP capability, admins can more easily exclude sensitive content from being used by M365 Copilot for all items with the specified sensitivity label. Read more about new capabilities in Microsoft Purview that support secure generative AI adoption here, and learn more about how Data Security Posture Management (DSPM) for AI, previously known as AI hub, is providing data security admins with visibility into risky generative AI interactions in this blog. Extending additional protections across the data estate Last month, we also announced support for Microsoft Purview Data Loss Prevention for Fabric items. This capability allows you to apply Purview DLP policies to detect the upload of sensitive data, like social security numbers to a lakehouse in Fabric. If detected, the event will automatically be audited. This can also alert the admin and even surface a custom policy tip to data owners to take action and remedy non-compliance with the policy. Today, we are extending the restrict access action in Purview DLP policies to Fabric semantic models. With support for this restrict access action in Fabric, admins can configure policies that will automatically detect sensitive information in semantic models and limit access to internal users or data owners. This control is especially valuable when your tenant includes guest users, and you want to enforce proper restrictions to ensure these users do not accidentally access sensitive information like internal proprietary data. Alongside the introduction of Purview DLP capabilities for M365 Copilot and Fabric, we are broadening our capabilities on macOS devices: Support for archive files, now in public preview: Detect when files are created and added to archives and apply restrictions to archive files when they contain sensitive information. This helps reduce the risk of exfiltration through concealment in archive files on macOS (.zip, .zipx, .rar, .7z, .tar, and .gz file formats). Just-in-time (JIT) protection, now in public preview: With just-in-time protection, admins can proactively secure files containing sensitive information – regardless of type – that may not have been interacted with for a long time by applying restrictions upon egress. JIT suspends the egress operation and performs an evaluation against organizational policies before resuming the operation. JIT can also be enforced for scenarios based on network location, such as printing files on personal versus corporate networks. This capability is also available on Windows devices. Support for web-based activities, now in public preview: These controls, already available in Windows, apply to printing, saving, and copying of web content on macOS. Strengthening core data protections and posture Though data protection controls for genAI and the use of AI as a productivity driver for admins is top of mind for many security teams, we are also committed to strengthening the robustness and reliability of our foundational DLP capabilities. This fortifies protections for your existing data estate and builds the resilience of your data security program as AI-generated data proliferates. In this spirit, we are pleased to share several new improvements to Purview endpoint DLP controls, including: Extended file type coverage for endpoint DLP in public preview: We are greatly expanding the breadth of scannable file types (110+) and extraction limits for endpoint DLP on Windows devices. Not only does this broaden coverage across your environment but also helps ensure that files covered by DLP policies are protected in a consistent way across workloads. This improvement will begin rolling out to customers this month and continue worldwide in the coming weeks. Blanket protections for non-supported file types in public preview: Enforce blanket-level protections for file types that Purview endpoint DLP does not currently scan and classify, ensuring that the diverse range of file types found in your environment are still protected. For example, DLP admins can now prevent copying to USB for all CAD files, regardless of their contents. Pause and resume now generally available: This enhancement to endpoint DLP automatically resumes an initial task such as copying to USB or network share when an end user overrides a policy tip. This helps minimize end user disruption and enables more seamless interaction with sensitive data without sacrificing security. On top of strengthening the breadth & depth of Purview DLP controls, we are doubling down on ways to help admins continuously assess the efficacy and coverage of their DLP programs. Therefore, we are excited to announce the new DLP policy insights skill in Security Copilot in public preview. Historically, the ability to quickly & easily understand the full breadth of DLP policy coverage across the organization has proved a challenging task for many DLP admins. In some organizations, admins have inherited or migrated hundreds, sometimes thousands, of DLP policies that were created in legacy DLP tools and pieced together for coverage. However, environment-wide visibility is critical to ensuring that there are no gaps in protection for business-critical workloads. The embedded Security Copilot-powered policy insights skill summarizes the intent, scope, and resulting matches of existing DLP policies in natural language. Some of the insights provided by the policy insights skill include DLP policies deployed for each workload (such as SharePoint or Exchange), the sensitive information types they are designed to detect, and the number of associated rule matches to those policies. This helps admins quickly identify and address gaps in protection. Purview is also introducing a new platform feature that correlates insights from Purview DLP with insights from Microsoft Purview Information Protection and Microsoft Purview Insider Risk Management to provide data security admins with a more holistic, actionable view of their data security posture. Starting today, Microsoft Purview Data Security Posture Management (DSPM), is now available in public preview in the Purview portal. DSPM offers unified visibility of data risks across your environment with prioritized recommendations for reducing those risks – this includes 1-click DLP policy recommendations designed to address top unresolved data loss risks. To learn more about DSPM in Purview, visit the blog. Streamlining admin investigations & insights Data security teams face an average of 66 alerts per day – up from 52 in 2023 – and only triage 63% of those daily alerts. Furthermore, organizations are experiencing an average of 156 data security incidents annually [3]. Quick triage, investigation, and remediation is key to mitigating downstream financial and infrastructural impact. However, the vast volume of alerts, data sources, and policies for those data sources can make it difficult for admins to prioritize data risks, investigate DLP incidents, and understand how to optimize their DLP program. New enhancements to embedded Security Copilot experiences in Purview DLP We are excited to announce two additional Security Copilot skills in public preview to assist admins with the challenges they face: enhanced hunting & investigation prompts and Activity Explorer prompts for targeted navigation and queries. These capabilities augment the embedded & standalone Security Copilot-powered alert summarization experiences that are already available in Purview DLP: New enhanced hunting prompts let you drill down a step further from Security Copilot-generated alert summaries to gain further context surrounding the data and users behind an incident. Such detail could include the activity performed on the data and the sensitive information type (SIT) detected that resulted in the alert. New Activity Explorer prompts assist admins as they navigate and dive deeper into Activity Explorer insights. For example, pre-built prompts can provide admins with a birds’ eye view of the top activities detected in their environment over the past week such as DLP rule matches or sensitive data used in M365 Copilot interactions. Inversely, admins can prompt Security Copilot to apply the correct investigation filters to Activity Explorer to pinpoint the specific activities or data that they want to narrow in on. Improved support for data security forensic investigations Starting today, the ability to store copies of full files that resulted in a DLP policy match on Windows endpoints is now in public preview worldwide. Customers have the option to store this file evidence in Microsoft-managed storage, or link Azure blob storage to their Purview tenant. With the Microsoft-managed option, admins can save time otherwise spent configuring additional settings, assigning permissions, and selecting the storage in the policy workflow. However, both storage options are available to customers based on the needs of their organizations. Learn more here. Customizing DLP processes & investigations with Power Automate and in Defender XDR We are also investing in ways to customize Purview DLP to the needs and established processes of your organization. Today, we are announcing the availability of the Power Automate connector in public preview, which enables admins to trigger Power Automate workflows as a DLP policy action. Configure a custom Power Automate workflow as a DLP policy action. This integration unlocks automation and customization options for DLP admins, who can now fold DLP incidents into new or established IT, security, and business operations workflows, such as for stakeholder awareness and remediation. Examples include email notifications to managers of policy violations made by their employees or automatically deleting or moving files in SharePoint that are frequently overshared. To make it easier for customers to get started, the integration will include a pre-built Power Automate template to notify managers in Outlook when policy rules are triggered by their employees. However, you can also start building unique Power Automate workflows, such as creating a ticket in your organization’s IT service management tool of choice when DLP policy conditions are met. Enhanced filtering options for DLP alerts in Defender XDR For teams that prefer to centralize their data security incident investigations in Microsoft Defender XDR, we are announcing additional rich filter options for Purview DLP alerts in public preview. In the Defender XDR Incidents view, you can now streamline alert triage and investigation even further with the ability to apply a specific DLP policy, DLP rule, or DLP workload as a filter. This helps admins better understand the data activities and sources that trigger the most alerts and ultimately drive the most downstream impact and risk. & policy rule Get started You can try Microsoft Purview DLP and other Microsoft Purview solutions directly in the Microsoft Purview compliance portal with a free trial! Already have a Windows 10 and 11 device? You can get started easily by turning on endpoint DLP, which is built into your device and does not require an agent or on-premises component. Interested in how Microsoft 365 Copilot can transform the way you work? Contact your Microsoft representative to learn how you can add M365 Copilot to your existing subscription. Additional resources DLP whitepaper on moving from on-premises to cloud native DLP. Mechanics video on how to create one DLP policy that works across your workloads. Updated interactive guides on DLP policy configuration, management, and investigations. Frequently asked questions on DLP for endpoints. Investigating Microsoft Purview DLP alerts in the Microsoft Defender XDR portal. Customer stories to learn why leading enterprises rely on Microsoft Purview DLP. And, lastly, join the Microsoft Purview DLP Customer Connection Program (CCP) to get information and access to upcoming capabilities in private previews in Microsoft Purview Data Loss Prevention. An active NDA is required. Click here to join. We look forward to your feedback. Thank you, The Microsoft Purview Data Loss Prevention Team [1, 3] 2024 Data Security Index Report | Microsoft Security [2] Data security market research, n = 638, commissioned by MicrosoftBuilding layered protection: New Microsoft Purview data security controls for the browser & network
Microsoft is committed to helping our customers protect their data wherever it lives or travels - even as the modern data estate grows more complex. Over the years, we have taken a uniquely seamless approach of building protections directly where data is stored, used, or moves, helping customers get up and running easily without compromising on coverage. Our journey started with native integration of Purview data security controls into Microsoft 365 apps and services. This built-in design enables us to secure data right where most of your organization’s productivity takes place, without added latency or onboarding. This principle has continued with built-in controls for Teams, PowerBI, Fabric, and Microsoft 365 Copilot. We have also extended protections to Windows and macOS endpoint devices using a differentiated, agentless model that delivers visibility and control without deployment headaches or heavy on-premises footprint. However, the nature of modern work is continuously evolving: Generative AI tools are increasingly ubiquitous in the digital workplace and information workers are spending more time working in the browser than ever before [1]. As such, we are once again evolving our solutions to the modern AI era by extending Purview data security capabilities to the network layer and Microsoft Edge for Business. These capabilities include: Inline discovery of sensitive data across the network through secure access service edge (SASE) integration Inline discovery & protection of sensitive data in Edge for Business Data security controls for unmanaged Windows & macOS devices using Edge for Business When combined with existing Purview protections across cloud, email, and endpoints, the new browser and network controls empower teams to build a layered strategy for data protection that scales with the pace and complexity of today’s data ecosystems. To see layered protection in action, watch our latest Mechanics video: Introducing inline data discovery for the network Historically, Microsoft Purview has possessed the ability to allow or block the use of sensitive data within specified applications through our cloud and endpoint data loss prevention (DLP) solutions. As users interact with a wider variety of cloud-connected apps & services throughout the day – such as unmanaged SaaS apps, personal cloud storage services, and consumer GenAI apps – organizations need greater oversight over sensitive data that is being sent outside of the trusted boundaries of the organization. Today, we are excited to share that Microsoft Purview is opening its best-in-class data classification and data loss prevention policies to an ecosystem of secure access service edge (SASE) solutions. Integrating Purview with your SASE technology of choice enables you to secure sensitive data at the network layer using the same tools and workflows you rely on every day. This approach also enables you to extend Purview inspection, classification and ability to make policy verdicts to data in unmanaged, 3rd party locations, all at the speed & scale of the cloud. Users won’t have their pace and productivity disrupted as policies await decisions from on-premises classification systems, and admins can intercept sensitive data before it's leaked to risky destinations. Alongside us for the start of this journey are Netskope, a Leader in the Gartner Magic Quadrant for SSE and SASE, iboss, a Leader in the IDC ZTNA MarketScape, and Palo Alto Networks, a Leader in the Gartner Magic Quadrant for SSE and SASE. We are excited to announce that inline discovery of sensitive data will be available in public preview early May through the Netskope One SSE and iboss Zero Trust SASE integrations. The integration with Palo Alto Networks Prisma Access for inline discovery will be available later this year. The list of supported SASE partners will continue to expand in the coming months. Through these joint solutions, we can help our customers see greater value from bringing together best-of-breed data security and network visibility. "As insider threats rise and adversaries leverage AI, large enterprises are strengthening their security strategies by integrating insights from diverse tools. Netskope’s seamless integration with Microsoft Purview tackles these evolving challenges head-on, enhancing data protection and ensuring classified information remains secure." – Siva VRS, Wipro, Vice President & Global Business Unit Head, Cyber Security Practices Securing risky data interactions through SASE integration Through the upcoming Netskope and iboss integrations, your SASE solution will provide visibility into network traffic originating from managed devices to potentially untrusted locations. These interactions can be initiated from desktop applications such as the ChatGPT desktop app, cloud file sync apps like Box, and even non-Microsoft browsers such as Opera or Brave. Examples of common but potentially risky interactions include: Intentional or inadvertent exfiltration of sensitive company data to a personal or 3rd party instance of an application: For example, an employee is working with a partner outside of their organization on an upcoming project via the Slack desktop application. If the employee sends sensitive data to that 3rd party Slack channel, such as customer account numbers or contact information, this event will be captured in Purview Data Security Posture Management (DSPM) and Activity Explorer, and the admin can dive deeper into the sensitive data that was exfiltrated & its destination: Use of unsanctioned generative AI applications or plugins: Some employees in your organization may have installed an unsanctioned GPT plugin for their Microsoft Word application, for example. If they prompt the plugin to summarize the contents of the Confidential merger & acquisition document that is open, this prompt will also be captured in Purview DSPM for AI. Learn more about inline discovery of sensitive data in GenAI applications in this blog. Detection & discovery of these events provide data security admins invaluable insight into how sensitive data is leaving trusted locations through the network, even before policies are ever created. From Purview DSPM, admins can better understand how the sensitive data detected in network activity contributes to their organizational risk, such as the top applications to which users send sensitive data, and the types of data that are most frequently exfiltrated. Even better, DSPM provides proactive policy recommendations for controls that can help address this risk. Additionally, admins have the option to leverage Activity Explorer to drill down into specific egress points and destinations of sensitive data to better inform their protection strategy. Visibility of sensitive data in motion not only gives admins insight into how to improve their data loss prevention strategy, but also broadens their aperture of activities that could indicate potentially risky behavior by users. In the coming months, these new network signals will unlock a new category of policy indicators in Purview Insider Risk Management. Indicators for user activities such as file uploads or AI prompt submissions detected through the network will help Insider Risk Management formulate richer and comprehensive profiles of user risk. In turn, these signals will also better contextualize future data interactions and enrich policy verdicts. Introducing inline data protection in Edge for Business Every day, your employees interact with data across a variety of web applications & services. Chances are, some of this data is sensitive or proprietary for the organization. For that reason, it’s growing increasingly critical to have visibility and control over how employees interact with sensitive data within the browser. Today, we are excited to announce two new capabilities that represent significant strides in our growing set of native data security controls for Edge for Business, the secure enterprise browser optimized for AI: inline data protection and data security controls for unmanaged devices. With the new inline protection capability for Edge for Business, available in public preview in the coming weeks, you can prevent data leakage across the various ways that users interact with sensitive data in the browser, including typing of text directly into a web application or generative AI prompt. Inline protection is built natively into Edge for Business, meaning it can be enabled even without endpoint DLP deployed, and complements existing endpoint DLP protections for uploading or pasting sensitive content to the browser. Starting with some of the top consumer GenAI apps (ChatGPT, Google Gemini, and DeepSeek), admins will be able to block typed prompts containing sensitive data. This list will continuously expand to support a broad range of unmanaged apps, including additional genAI, email, collaboration, and social media apps. In the example below, you can see how a Purview DLP policy can block a user from submitting a prompt containing sensitive M&A details to Google Gemini for summarization: Inline protection can also leverage Adaptive Protection policy conditions for activities in GenAI apps. This enables data security admins to tailor the level of enforcement to the risk level of the user interacting with the data, minimizing disruption to day-to-day AI usage. For example, Adaptive Protection can enable admins to block low-risk users from submitting prompts containing the highest-sensitivity classifiers for their organization, such as M&A-related data or intellectual property, while blocking prompts containing any sensitive information type (SIT) for an elevated-risk user. To bring this full circle, risky prompts sent to GenAI apps or responses containing sensitive information can also raise a user’s risk level through risky AI usage detections in Insider Risk Management. This helps organizations understand and adapt to how insiders are interacting with data in AI apps. Similarly to inline data discovery for the network, visibility into sensitive data use in Edge for Business will now surface in Purview DSPM, even if a protection policy has not yet been deployed. If DSPM observes high data exfiltration risk originating from Edge for Business, it will proactively recommend a set of data security policies to mitigate that risk, such as blocking typed sensitive data and sensitive files from being sent to consumer AI apps. Purview data security controls for unmanaged devices In addition to the new inline protection capability, we are thrilled to announce that Purview data security controls now extend to Edge for Business on unmanaged Windows or macOS devices. These data loss prevention policies, rolling out in public preview in the coming weeks, allow organizations to prevent or enable access to data in organizational apps based on the sensitivity of the data, as long as the end user is logged into their Edge for Business profile. This is particularly relevant for organizations that leverage a significant contractor or frontline workforce, or enable bring-your-own-device (BYOD) policies. Similarly to inline protection, these controls are built natively into Edge for Business and can be activated even without endpoint DLP deployed. As an example, your organization may allow a contractor to use a personal macOS device to access corporate resources. By opening Edge for Business and logging in using their Entra ID account, Purview data security policies can now be applied to that browser session. If the contractor navigates to a managed app such as Workday or a proprietary line of business app, you can apply context-aware data protections such as allowing download of a benefits brochure that does not contain any sensitive information, but preventing download of employee or patient records that contain sensitive data. This context-aware policy helps organizations balance adequate data security controls with end user productivity. To learn more about security capabilities built into Edge for Business, the secure enterprise browser, visit the blog. Licensing details Inline data discovery via 3rd party network integrations: Your global admin will be able to enable this capability by activating Purview pay-as-you-go meters. Pricing will be based on the number of requests captured through network traffic within the scope of a policy. E5, E5 Compliance, and E5 Information Protection & Governance required. Additional pricing details will be available with public preview rollout in early May. Inline discovery & protection in Edge for Business: Included in E5, E5 Compliance, and E5 Information Protection & Governance up to a certain number of requests. (Note: Inline protection for Edge for Business is included in E5 today. Microsoft will monitor the telemetry and reserve the right to declare a certain threshold where this data will be absorbed in an E5 license, and reserve the right to charge additionally based on usage beyond such threshold.) Data security controls for unmanaged devices accessing Edge for Business: Included in E5, E5 Compliance, and E5 Information Protection & Governance. Get started You can try Microsoft Purview data security solutions directly in the Microsoft Purview compliance portal with a free trial. Want to learn more about the innovations designed to help your organization protect data, defend against cyber threats, and stay compliant? Hear from Microsoft leaders online at Microsoft Secure on April 9. [1] Internal Windows telemetryUse Auto-Label Policies to Protect Old Files from Copilot
Often Microsoft 365 tenants have large numbers of old but confidential documents that they need to protect and stop Microsoft 365 Copilot finding. Auto-label policies and trainable classifiers can apply sensitivity labels to protect Office files from Microsoft 365 Copilot using the DLP policy for Copilot. It’s a great example of combiining Microsoft 365 features to achieve a goal. https://office365itpros.com/2025/04/09/trainable-classifier-old-files/
Use Endpoint DLP to block uploads
Hello, I am trying to block files from being uploaded to specific domains using Endpoint DLP. I have added several domains to the Service Domain section of DLP and set it to Block. I have also added a Service Domain Group with those same domains (not sure if this is required in this case). Then I have created a DLP policy scoped to Devices only. The rule conditions in the policy are set to any file over 1 byte in size should be blocked from upload to those service domains. I have also added the Service Domain Groups to this policy and set it to block. I turn on the policy and it is applied to the appropriate endpoints but when I test, the only files blocked from being uploaded to those domains are files tagged a sensitivity label. Can this DLP policy apply to all files instead of just labelled ones? We just want to block upload to specific domains outright. Any help is appreciated!
