Think Microsoft Copilot only sees what you have permission to view? One small mistake in your Graph permissions could allow AI to surface sensitive data that your compliance team never approved. In this video, we dive deep into the hidden security risks of unmanaged AI access and how to lock down your tenant without killing productivity.

We explore why Copilot often reaches further than a human user by exploiting application level permissions through Microsoft Graph. You will learn how to identify silent permission creep and why standard file access reports might miss AI data retrieval. We also walk through the specific steps to configure Microsoft Purview and Data Loss Prevention policies so that sensitive information stays protected even when AI generates the content.

From setting up role based access groups to using Purview for audit ready reporting, this guide covers everything an IT admin needs to know. We discuss the importance of mapping job functions to data needs and how to avoid the trap of universal enablement. Don't let your AI deployment become a compliance nightmare. Watch to learn how to build a secure framework that lets your team use Copilot with total confidence.

Chapters
0:00 The Hidden Risks of Copilot
2:45 How Microsoft Graph Controls AI Access
5:30 Understanding Silent Permission Creep
8:15 Monitoring AI with Purview Audit Logs
11:00 Detecting Data Leaks Before They Happen
14:15 Setting Up DLP Guardrails for AI Content
17:30 Implementing Role Based Access Groups
20:15 Proving Compliance to External Auditors
22:00 Final Security Checklist

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