Assigning Copilot licenses is easy. Making sure Copilot doesn’t expose the wrong data is not. Before AI can safely operate in your tenant, you need a data estate that won’t betray you the moment Copilot starts indexing.

This session cuts through the noise and focuses on the architectural and compliance groundwork required for a secure Copilot deployment. We’ll walk through how to classify and protect sensitive data with Microsoft Purview, how to eliminate years of permission “technical debt,” and how to align AI usage with GDPR and internal security policies. We’ll also cover the human side — how to train users to interact with AI safely without slowing them down.

You’ll leave with a clear, actionable plan for preparing your data environment so Copilot delivers value without creating new risks.

Assumed Knowledge
- Familiarity with Microsoft Purview and sensitivity labeling concepts.
- Understanding of SharePoint/OneDrive permission models and common misconfigurations.
- Basic awareness of GDPR and internal compliance frameworks.
- Experience with organizational change or user‑training programs is helpful.

Practical Takeaways
Data Classification: How to use Microsoft Purview to label and protect sensitive assets before Copilot touches them.
Access Management: How to identify and remediate permission debt that leads to oversharing.
Compliance Strategy: Aligning AI usage with GDPR and internal security policies.
User Adoption: Training patterns that help users work safely with AI without slowing innovation.

Out of Scope
- Copilot licensing, setup, or feature demos.
- Sensitivity label basics or introductory governance theory.
- Non‑Microsoft compliance or DLP tooling.