New Microsoft Purview tools target data oversharing and AI governance

As organisations race to build AI systems on their data, Microsoft is rolling out new tools designed to ensure that race does not come at the cost of security, privacy, or governance.

Microsoft Purview, Microsoft Fabric, data security, AI governance, DLP, insider risk, Copilot, data loss prevention, DSPM, data quality, cybersecurity, enterprise AI, data oversharing

Microsoft has announced new integrations between Microsoft Purview and Microsoft Fabric, aimed at helping organisations identify AI-driven data risks, prevent sensitive data from being overshared, and strengthen governance across their data estates.

The updates come as enterprises accelerate AI adoption and face growing pressure to ensure that the data powering those systems is both protected and trustworthy.

Key new capabilities include Data Loss Prevention policies for Fabric workloads such as Warehouse and databases, Insider Risk Management tools that can detect risky actions such as unauthorised data exports from Fabric lakehouses, and new preview features for managing AI data exposure, including the ability to identify sensitive data appearing in Copilot prompts and responses.

Data Security Posture Management tools provide risk assessments to surface unprotected assets and recommend corrective action.

On the governance side, updates to Microsoft Purview Unified Catalogue introduce centralised workflows for data owners to control the publication of data products and run quality checks on unmanaged assets, enabling faster validation at scale.

Microsoft describes the combined offering as an ‘integrated and unified foundation’ that allows organisations to innovate with AI whilst keeping their data protected, governed, and trusted.

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