As AI becomes embedded in everyday work, traditional data security models break down. Copilots and agents can search, summarize, and recombine information at machine speed, creating new exposure paths for sensitive data — even when nothing is formally shared or exfiltrated.

In this session, we’ll explain why data sensitivity, not data location, is now the true security boundary, and what that shift means for protecting information in the age of AI. We’ll walk through how organizations can establish a shared understanding of what data is sensitive, use sensitivity labels to consistently define how that data should be handled, and automatically enforce protections wherever data is created or used — including in AI experiences.

We’ll close with a live Ask Me Anything (AMA), where you can bring real-world questions about securing Copilot and agents, scaling classification and labeling, and turning sensitivity into consistent, enforceable controls with Microsoft Purview.