AI agents are becoming a foundational capability in the Microsoft ecosystem and are starting to challenge existing governance models.

Power Platform and IT governance teams have traditionally managed copilots and chat-based agents through agent inventories, environment strategy, DLP policies, and Copilot Studio controls. With the introduction of Agent 365, Entra Agent ID, and the Azure AI Foundry Control Plane, and with AI solutions increasingly combining low-code and pro-code development, this approach is no longer sufficient on its own.

This session examines the governance implications of Microsoft’s new agent capabilities from an enterprise perspective. The focus is on how these changes affect governance models, ownership, accountability, and operating practices across Power Platform, Microsoft 365, and Azure.

Governance Implications and Practical Outcomes

Through learning from enterprise governance scenarios and decision points, attendees will explore how agent identities, centralized visibility, and cross-platform capabilities impact access control, risk management, and lifecycle governance, including onboarding, approval, monitoring, incident response, and decommissioning.

• Understand how governance models for AI agents are evolving across Power Platform, Microsoft 365, and Azure

• Discover how hybrid low-code and pro-code solutions shift governance boundaries and responsibilities

• Learn what agent identities and centralized agent registries mean for accountability, access control, and risk management

• Understand how onboarding, approval, monitoring, incident response, and decommissioning processes must adapt as AI agents scale

• Learn to apply practical considerations and lessons learned from real-world enterprise and regulated environments

The target is to reflect the recurring challenges observed in enterprise environments where established governance practices struggle to keep pace with rapidly evolving agent capabilities.

This session is best suited for intermediate practitioners (levels 200–300), including Power Platform administrators, AI administrators, architects, and experienced makers who define or evolve governance models for AI solutions within the Microsoft ecosystem.