Is your company sensitive data truly safe from your own AI assistant? While Microsoft Copilot is a productivity powerhouse, its advanced semantic search can accidentally surface confidential files if your permissions are not configured correctly. In this comprehensive guide, we show you exactly how to use Microsoft Purview to lock down your data and ensure Copilot only sees what it is supposed to.

This video explores the fundamental shift from traditional keyword search to the semantic indexing used by generative AI. You will learn how common SharePoint mistakes, like over-permissioning and broad sharing links, can lead to internal data leaks. We dive deep into Microsoft Purview, explaining how sensitivity labels and Data Loss Prevention (DLP) policies act as your final line of defense. From identifying sensitive information with machine learning to testing your security rules in a safe environment, this tutorial provides a complete roadmap for an AI-ready organization.

Key topics covered include:
🚀 Understanding semantic search and mathematical vectors
🛡️ Managing over-permissioning in SharePoint environments
📊 Using SharePoint Advanced Management and DAG reports
📂 Implementing file-level security with Microsoft Purview
🏷️ Setting up sensitivity labels and automated classification
⚖️ Balancing strict security with user productivity

Chapters
0:00 Intro to Copilot Data Risks
3:15 Semantic Search vs Traditional Search
7:40 The Danger of Overpermissioning
12:10 SharePoint Configuration Vulnerabilities
16:35 SharePoint Advanced Management Features
21:00 Data Access Governance Reports
25:45 Restricted Content Discovery
30:20 Why File Level Protection Matters
35:15 Introduction to Microsoft Purview
40:00 How to Identify Sensitive Data
44:50 Using Exact Data Match Classifiers
49:30 Trainable Classifiers and Machine Learning
54:10 Applying Sensitivity Labels
59:00 Creating DLP Policies for Copilot
1:04:15 Testing Policies in Test Mode
1:09:30 Activity Explorer and Content Explorer
1:14:00 Balancing Security and Productivity
1:18:45 Immediate Checklist for AI Security
1:23:26 Conclusion and Final Steps

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