Data Loss Prevention Policies for Fabric and Power Platform How Hidden Connectors and Environments

2026-10-30 · 6 views

Description

Are you tired of watching your DLP dashboard glow green while data leaks still happen through the hidden cracks of your organization? In this video, we dive deep into the invisible blind spots within Microsoft Fabric and Power Platform that most administrators completely overlook.

We explore why the traditional set and forget mentality for Data Loss Prevention is no longer enough in a world of AI agents and rapid automation. You will learn how shadow IT often bypasses security through seemingly innocent personal connectors like Gmail or Dropbox, and why your dev and test environments might be your biggest grey zones.

Key topics covered in this session include:

⚡ The reality of how data trickles out through unmapped connections. ⚡ Why custom connectors and public APIs are the new frontier for data leaks. ⚡ Strategies for classifying connectors to balance security with productivity. ⚡ How to use if-then mental maps to anticipate risky user behavior. ⚡ Best practices for testing DLP policies in sandboxes to avoid breaking business-critical workflows.

By the end of this video, you will have a clearer roadmap for tracing data movement and building adaptive policies that actually work. Stop playing whack-a-mole with new services and start gaining a true insider map of your data flow.

Chapters 0:00 Welcome to M365Con 2027 1:11 Why DLP Fails and the Blind Spots Nobody Talks About 3:45 Shadow IT and Personal Connector Risks 6:15 Mapping the Maze: If-Then Scenarios for Policy 9:00 Environment Risks and Data Movement 11:30 Connector Classifications: Signal vs Noise 14:15 Testing Without Tears: Policy Design 17:00 Using Analytics to Spot Evolving Paths 19:45 Sandbox Best Practices and Iterative Rollouts 21:52 Conclusion

Ready to take your skills to the next level? Join us for 10 days of deep dives into Copilot, AI, and Azure at M365Con. Secure your place now at m365khan.net and we will see you live in January!

Open on YouTube ↗