Zero Trust has been the industry mantra for years, but most implementations still stop at identity. Conditional Access policies guard the front door, yet once a user is authenticated, data moves freely across endpoints, apps, and AI tools. In 2026, that gap is no longer theoretical. It is operational risk.
This session explores why identity-only Zero Trust fails in Copilot and AI-driven environments, and how Microsoft Entra and Microsoft Purview together form a continuous control loop. We will walk through how Entra decides who gets access, how Purview decides what they can do with the data, and why AI finally makes these policies matter.
Attendees will learn how sensitivity labels act as policy anchors, how identity context enriches data protection decisions, and how DLP and adaptive protection close the gap between authentication and authorization. We will demonstrate how the same user with the same identity gets radically different Copilot outcomes depending on labels and data policies.
You will leave with a practical architecture pattern for Zero Trust that survives oversharing, AI acceleration, and the uncomfortable truth that authenticated does not mean authorized for data use.