As organizations embrace Microsoft 365 Copilot, Copilot Studio, and custom agents to unlock productivity and streamline business processes, governance becomes mission-critical. These agents can access enterprise content, interact with business systems, and influence everyday decision-making. Without the right controls in place, organizations risk exposing sensitive data, creating compliance gaps, and enabling uncontrolled agent proliferation.

This session provides a practical governance framework for securing, managing, and scaling Copilot agents across the enterprise. Whether you're supporting a handful of business-driven agents or preparing for large-scale adoption, you'll learn how to establish the policies, controls, and operational practices needed to balance innovation with security and compliance.

Through demonstrations, real-world examples, and implementation guidance, we'll explore four key areas of Copilot agent governance:

Foundational Controls: How Microsoft Purview, sensitivity labels, DLP policies, and access controls help protect prompts, responses, and connected data sources.
Lifecycle Management: Intake processes, environment strategies, ownership models, and version management approaches that prevent "agent sprawl" while supporting innovation.
Compliance and Risk Management: Leveraging audit logs, data retention policies, DSPM for AI, and governance monitoring to meet regulatory and organizational requirements.
Operational Oversight: Using Copilot Studio governance capabilities, Centers of Excellence, analytics, and reporting to monitor adoption, business value, and agent performance.

Attendees will leave with:
- A practical governance framework for managing Copilot and custom agents at enterprise scale.
- Proven approaches for securing data, reducing risk, and maintaining compliance across AI experiences.
- Strategies for establishing ownership, lifecycle management, and operational oversight for agent deployments.
- Actionable recommendations for enabling innovation while maintaining control of organizational data and AI investments.

First public delivery