Organisations adopting Microsoft 365 Copilot and generative AI are facing a common challenge. Data is no longer static. It is constantly moving, reused, and now being surfaced and generated by AI.
This changes the risk profile.
The questions I hear most often are:
- What are the real data security risks with AI?
- Which controls actually make a difference?
- How do we deploy them effectively in Microsoft Purview?
This guide builds on my ECS 2026 session and focuses on the controls that provide the greatest practical value. It cuts through the noise and shows how to use Microsoft Purview DLP for Copilot and generative AI, with a practical approach to reducing real-world data leakage risk across both internal and external AI tools.
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