New Microsoft Purview innovations for Fabric to safely accelerate your AI transformation

Source: Microsoft Security Blog

Author: Darren Portillo

URL: https://techcommunity.microsoft.com/blog/microsoft-security-blog/new-microsoft-purview-innovations-for-fabric-to-safely-accelerate-your-ai-transf/4502156

https://techcommunity.microsoft.com/blog/microsoft-security-blog/new-microsoft-purview-innovations-for-fabric-to-safely-accelerate-your-ai-transf/4502156

ONE SENTENCE SUMMARY:

Microsoft Purview adds Fabric-focused DLP, IRM, DSPM, and Unified Catalog enhancements to reduce AI oversharing and improve data governance.

MAIN POINTS:

  1. AI adoption increases need for data security and governance as foundational capabilities.
  2. Skepticism persists due to sensitive data oversharing and poor data quality concerns.
  3. 86% of organizations lack visibility into AI data flows and employee sharing.
  4. 67% of executives are uncomfortable using data for AI because of quality issues.
  5. Purview unifies security and governance across M365, Fabric, and Azure estates.
  6. New Fabric security updates emphasize Information Protection, DLP, IRM, and DSPM.
  7. GA DLP policy tips help prevent sensitive-data oversharing into Fabric Warehouses.
  8. Preview DLP access restrictions limit sensitive KQL/SQL DB and Warehouse assets.
  9. GA IRM adds Fabric lakehouse risk indicators, data theft policies, and usage reporting.
  10. Unified Catalog adds publication workflows and data quality for ungoverned Fabric assets.

TAKEAWAYS:

  1. Reducing oversharing requires both detection and enforcement directly within Fabric workloads.
  2. Insider-risk signals are expanding beyond Power BI to cover lakehouse activities and exfiltration.
  3. Governing Copilots and agents needs risk discovery, audits, investigations, and remediation actions.
  4. Catalog workflows improve controlled publishing of data products and glossary terms enterprise-wide.
  5. Scalable data quality checks on ungoverned assets help make AI inputs more trustworthy.