Common questions on Microsoft Purview Data Loss Prevention for endpoints
This guide covers the top-of-mind FAQs on Microsoft Purview DLP for endpoints. We have collaborated with engineers, designers, and Endpoint DLP experts to increase your confidence on the Endpoint DLP capabilities, and to help you learn more about your setup. We hope you enjoy these guidelines to troubleshoot your most common issues with deployment, if any!Azure Information Protection and the Information Protection Modernization Journey
Azure Information Protection (AIP) has been on a multi-year modernization and integration journey with the goal of providing a cohesive and coherent classification, labeling, and protection stack for our customers. In this blog, you’ll get the latest AIP components status and what our future plans are.Retirement notification for the Azure Information Protection Unified Labeling add-in for Office
We are officially announcing the retirement of the Azure Information Protection (AIP) Unified Labeling add-in for Office and starting the 12-month clock, after which it will reach retirementon April 11, 2024.Easily migrate your Symantec DLP policies to Microsoft Purview Data Loss Prevention
Microsoft Purview Data Loss Prevention is a unified and cloud native DLP solution that helps customers effectively protect their sensitive data from exfiltration across applications, services, and devices. To quickly get started with Microsoft Purview DLP, today we are excited to announce the public preview of Microsoft Purview Data Loss Prevention migration assistant for Symantec.
Share data near real-time with Microsoft Purview in-place data sharing for Azure Storage
Data providers can now share data in-place from ADLS Gen2 and Blob storage accounts without data duplication, and share within and across organizations. They can also centrally manage sharing activities within Microsoft Purview, a unified data governance solution. Data consumers can now have near real-time access to shared data. They can also use this shared data for any of their processing and insights needs and gain value at cloud scale faster than ever before.
