You’ll learn how to stop Copilot data leaks by using Microsoft Graph permissions, DLP policies, and Purview to secure sensitive information inside the Microsoft cloud — in this episode.

Who this episode is for:
• You want practical strategies you can apply instantly
• You want real execution — not theory
• You want to unlock Microsoft 365, Power Platform, and Azure for real business outcomes

Scenario:
Your AI assistant is exposing sensitive data without you even realizing it.

Step-by-step – what you will learn:
• What Copilot’s data access risks look like
• How to configure Microsoft Graph permissions for better control
• Using DLP policies to monitor and block risky AI outputs
• Leveraging Purview for compliance and visibility
• Combining these tools for a secure and efficient workflow

Tools + tech included:
• Microsoft 365 / Teams / SharePoint / Azure
• Microsoft Graph permissions
• Data Loss Prevention (DLP) policies
• Microsoft Purview audit features

Practical payoff:
• Prevent sensitive data exposure
• Improve compliance and security
• Gain clarity and control over AI-assisted workflows

Open topical anchors:
AI integration • cloud-first transformation • Microsoft ecosystem advantage • data security strategy

Example business cases listeners can apply immediately:
• Protect confidential financial reports with DLP
• Configure Copilot access based on job roles with Graph permissions
• Audit AI data access using Purview for compliance

Outcome statement:
By the end of this episode — you’ll know exactly how to secure Copilot without compromising productivity.

Call-to-action:
start building your skills today
elevate your expertise now
transform your workflows today

#microsoftgraph #aidataleaks #dlppolicies #copilotsecurity #dataprotection

CHAPTERS:
00:00 - Intro
00:30 - Co-Pilot Knowledge Limitations
04:36 - Preventing Data Leaks
08:37 - Effective AI Guardrails
10:22 - Controlling AI Output
13:03 - Managing AI Access
17:28 - Proving Compliance Efficiently
21:40 - Benefits of Governed AI

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