Presented by Microsoft Events at Ignite 2025, this session introduces how organizations can upgrade data protection with Microsoft Purview and Security Copilot, blending automated DLP with AI-driven governance.

Envision Next Generation DLP with Microsoft Purview and Copilot

Overview

This Ignite 2025 session explores how organizations can overcome legacy data loss prevention (DLP) challenges using Microsoft Purview and AI-driven tools like Security Copilot. It addresses common pitfalls with traditional DLP programs—such as excessive alerts and ineffective enforcement—and highlights new approaches that emphasize proactive controls, governance, and simplified user experience.

Key Topics

• Problems with Legacy DLP: Limitations of older DLP implementations, including alert fatigue, resource strain, and lack of true enforcement.
• Case Study: Example of modernizing DLP using Microsoft Purview to integrate policies, executive alignment, and procedure improvements.
• Governance and Policy: Establishing organization-wide policies that transform oversharing into intentional sharing.
• Automated Data Protection: Leveraging Microsoft Purview to automate policy enforcement and close loopholes in data protection strategies.
• AI and Security Copilot Integration: How combining Microsoft Purview with Security Copilot enables near-autonomous data protection and incident response, even with limited human resources.
• Session Speakers: Adam Ames, Nick Caromano, Josh Rattan (PwC and Microsoft).

Chapters Recap

1. Issues with Legacy DLP Approaches
2. Case Study: DLP Transformation via Microsoft Purview
3. Governance: Policies, Procedures, and Executive Alignment
4. Turning Oversharing into Intentional Sharing
5. Applying DLP as Part of Broader Governance
6. Automated Data Protection with Purview
7. Integrating AI (Security Copilot) for Autonomous Protection
8. Addressing Human Resource Limitations
9. Session Wrap-up

Additional Resources

• Video presentation
• Microsoft Ignite event info

Takeaways

Attendees will learn how a modern approach to DLP—focused on proactive policy, automated enforcement, and AI-assisted controls—can greatly reduce risk while enhancing compliance and efficiency.