{"id":58404,"date":"2025-03-31T15:00:00","date_gmt":"2025-03-31T15:00:00","guid":{"rendered":"https:\/\/www.threatshub.org\/blog\/new-innovations-in-microsoft-purview-for-protected-ai-ready-data\/"},"modified":"2025-03-31T15:00:00","modified_gmt":"2025-03-31T15:00:00","slug":"new-innovations-in-microsoft-purview-for-protected-ai-ready-data","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/new-innovations-in-microsoft-purview-for-protected-ai-ready-data\/","title":{"rendered":"New innovations in Microsoft Purview for protected, AI-ready data"},"content":{"rendered":"

The Microsoft Fabric and Microsoft Purview<\/a> teams are excited to be in Las Vegas from March 31 to April 2, 2025, for the second annual and highly anticipated Microsoft Fabric Community Conference<\/a>. With more than 200 sessions, 13 focused tracks, 21 hands-on workshops, and two keynotes, attendees can expect an engaging and informative experience. The conference offers a unique opportunity for the community to connect and exchange insights on key topics such as data and AI.<\/p>\n

AI innovation is impacting every industry, business process, and individual. About 75% of knowledge workers today are currently using some sort of AI in their day to day.1<\/sup> At the same time, the regulatory landscape is evolving at an unprecedented pace. Around the world, at least 69 countries have proposed more than 1,000 AI-related policy initiatives and legal frameworks to address public concerns around AI safety and governance.2<\/sup> With the need to adhere to regulations and policy frameworks for AI transformation, a comprehensive solution is needed to address security, governance, and privacy concerns. Additionally, with the convergence of the responsibilities of cybersecurity and data teams, customers are asking for a solution that turns data security and data governance into a team sport to address issues such data discovery, data classification, data loss prevention, and data quality in a unified way. Microsoft Purview delivers a comprehensive set of solutions that address these needs, helping customers seamlessly secure <\/strong>and confidently activate <\/strong>their data in the era of AI.<\/p>\n

We are excited to announce new innovations that help security and data teams accelerate their organization\u2019s AI transformation:<\/p>\n

    \n
  1. Enhancing Microsoft Purview Data Loss Prevention<\/a> (Purview DLP) support for lakehouse in Microsoft Fabric<\/a> to help 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 send users notification through policy tips when they are 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 is extending its proven data security value delivered to millions of Microsoft 365 users worldwide, to the Microsoft data platform. This helps users drive consistency across their multicloud and multiplatform data estate and simplify risks related to data leaks, oversharing, and risky user behavior as more users are managing and handling data in the era of AI.<\/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. Since last year\u2019s Microsoft Fabric Community Conference, Microsoft Purview has extended Microsoft Purview Information Protection<\/a> and Purview DLP policy tip value across the data estate, including Fabric. Currently, Purview DLP supports the ability to show users notifications for when they are working with sensitive data in lakehouse. We are excited to share that we are enhancing the DLP value in lakehouse to prevent sensitive data leakage to guest users by restricting access. Data Security admins can configure policies and limit access to only internal users or data owners based on the sensitive data found. This control is valuable for when a Fabric tenant includes guest users and domain owners want to limit access to internal proprietary data in their lakehouses. <\/p>\n

    \"Purview<\/figure>\n

    Figure 1. DLP policy restricting access for guest users into<\/s> lakehouse due to personally identifiable information<\/em><\/em> (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

    A key part of securing sensitive data is to provide visibility to your users on where and how they are interacting with sensitive data. Purview DLP policies can help notify users when they are working with sensitive data through policy tips in lakehouse in Fabric. We are excited to announce that we are extending policy tips support for additional Fabric items\u2014KQL databases and Mirrored databases in preview. (Mirrored Database sources include Azure Cosmos DB, Azure SQL Database, Azure SQL Managed Instance, Azure Databricks Unity Catalog, and Snowflake, with more sources available soon). KQL databases are the only databases used for real-time analytics so detecting sensitive data that comes through real-time analytics is huge for Fabric customers. Purview DLP for Mirrored databases reduces the security risk of sensitive data leakage when data is transferred in Fabric. We are happy to extend Purview DLP value to more data sources, providing end-to-end protection for customers within their Fabric environments, all to prepare for the safe deployment of AI.<\/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 like data oversharing and leakage, and potential non-compliant usage in AI. We are excited to announce Microsoft Purview capabilities in preview for Copilot in Fabric, starting with Copilot for Power BI. By combining Microsoft Purview and Copilot for Power BI, users can:<\/p>\n