{"id":12672,"date":"2025-04-01T00:40:20","date_gmt":"2025-04-01T00:40:20","guid":{"rendered":"https:\/\/fusionmindlabs.com\/blogs\/microsoft-purview-protected-ai-ready-data\/"},"modified":"2025-04-01T00:40:20","modified_gmt":"2025-04-01T00:40:20","slug":"microsoft-purview-protected-ai-ready-data","status":"publish","type":"post","link":"https:\/\/fusionmindlabs.com\/blogs\/microsoft-purview-protected-ai-ready-data\/","title":{"rendered":"Microsoft Purview: Protected, AI-Ready Data"},"content":{"rendered":"\n
Here is the rewritten content without changing its meaning, retaining the original length, and keeping the proper headings and titles:<\/p>\n
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The Microsoft Fabric and Microsoft Purview<\/a> teams are excited to attend the second annual Microsoft Fabric Community Conference in Las Vegas from March 31 to April 2, 2025. The conference features over 200 sessions, 13 focused tracks, 21 hands-on workshops, and two keynotes, offering a unique opportunity for the community to connect and exchange insights on key topics such as data and AI.<\/p>\n

AI innovation is transforming every industry, business process, and individual, with approximately 75% of knowledge workers currently using AI in their daily tasks.1<\/sup> Meanwhile, the regulatory landscape is evolving rapidly, with over 69 countries proposing more than 1,000 AI-related policy initiatives and legal frameworks to address public concerns around AI safety and governance.2<\/sup> To address security, governance, and privacy concerns, a comprehensive solution is necessary. Microsoft Purview provides a set of solutions that help customers seamlessly secure and confidently activate their data in the era of AI.<\/p>\n

We are announcing new innovations to help security and data teams accelerate their organization’s AI transformation:<\/p>\n

    \n
  1. Enhancing Microsoft Purview Data Loss Prevention<\/a> (Purview DLP) support for lakehouse in Microsoft Fabric<\/a> to prevent sensitive data loss by restricting access.<\/li>\n
  2. Expanding Purview DLP policy support for additional Fabric items, such as KQL databases and Mirrored databases, to notify users when working with sensitive data.<\/li>\n
  3. Microsoft Purview integration with Copilot in Fabric, specifically for Power BI.<\/li>\n
  4. Data Observability within the Microsoft Purview Unified Catalog.<\/li>\n<\/ol>\n

    Seamlessly secure data<\/h2>\n

    Microsoft Purview extends its proven data security value to the Microsoft data platform, helping users drive consistency across their multicloud and multiplatform data estate and simplify risks related to data leaks, oversharing, and risky user behavior.<\/p>\n

    1. Enhancing Microsoft Purview Data Loss Prevention (DLP) support for lakehouse in Fabric to help prevent sensitive data loss by restricting access<\/h3>\n

    Microsoft Purview Data Security capabilities are used by hundreds of thousands of customers for their integration with Microsoft 365 data. Purview DLP supports showing users notifications for sensitive data in lakehouse and is now enhancing DLP value in lakehouse to prevent sensitive data leakage to guest users by restricting access.<\/p>\n

    \"Purview<\/figure>\n

    Figure 1. DLP policy restricting access for guest users in lakehouse due to personally identifiable information (PII) data discovered<\/em><\/p>\n

    2. Expanding DLP policy support for additional Fabric items such as KQL databases and Mirrored databases to show users notification through policy tips when they are working with sensitive data<\/h3>\n

    Purview DLP policies notify users when working with sensitive data through policy tips in lakehouse in Fabric. This support is now extended to additional Fabric items, including KQL databases and Mirrored databases, to provide end-to-end protection for customers within their Fabric environments.<\/p>\n

    \"Purview<\/figure>\n

    Figure 2. Policy tip triggered by Purview DLP due to PII being discovered in KQL databases.<\/em><\/p>\n

    \"Purview<\/figure>\n

    Figure 3. Policy tip triggered by Purview DLP due to PII being discovered in Mirrored databases.<\/em><\/p>\n

    3. Microsoft Purview for Copilot in Fabric<\/h3>\n

    As organizations adopt AI, implementing data controls and a Zero Trust<\/a> approach is crucial to mitigate risks. Microsoft Purview capabilities in preview for Copilot in Fabric, starting with Copilot for Power BI, help users discover data risks, identify risky AI usage, and govern AI usage.<\/p>\n

    \"Microsoft<\/figure>\n

    Figure 4. Purview DSPM for AI provides admins with comprehensive reports on Copilot in Fabric\u2019s user activities, as well as data entered and shared within the copilot.<\/em><\/p>\n

    Confidently activate data<\/h2>\n

    4. Data observability, now in preview, within Microsoft Purview Unified Catalog<\/h3>\n

    Within the Unified Catalog in Microsoft Purview, users can identify the root cause of data quality issues by visually investigating the relationship between governance domains, data products, glossary terms, and data assets. Data observability capabilities help users improve data quality and respond to regulatory reporting requirements.<\/p>\n

    \"Microsoft<\/figure>\n

    Figure 5. Lineage view of data assets that showcases data quality within a Data Product<\/em><\/p>\n

    Microsoft Purview and Microsoft Fabric can help secure and activate data<\/h2>\n

    As organizations implement AI, Microsoft Fabric and Microsoft Purview serve as key solutions to safely activate data for AI. Stay tuned for more innovations and check out the Fabric blog<\/a> for more information.<\/p>\n

    Learn more<\/h2>\n

    Explore these resources to stay updated on product innovations in security and governance for your data:<\/p>\n

    Visit the Microsoft Security website<\/a> and bookmark the Security blog<\/a> for expert coverage on security matters. Follow Microsoft Security on LinkedIn<\/a> and Twitter (@MSFTSecurity)<\/a> for the latest news and updates on cybersecurity.<\/p>\n

    \n

    1Work Trends Index<\/a><\/p>\n

    2AI Regulations around the World \u2013 2025<\/a><\/p>\n<\/div>\n\n
    Source Link<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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