As organizations move from AI assistance to AI execution, organizations are beginning to deploy AI agents capable of autonomously executing tasks across systems. While this unlocks significant productivity and automation opportunities, it also introduces a new risk model that requires strong governance across identity, data, and execution.

In response, Microsoft is evolving its approach to AI governance through Agent 365 – a vision for a control plane that helps organizations manage, secure, and govern AI agents operating across Microsoft 365 and the broader platform.

In this session, we will explore how organizations can confidently move from AI experimentation to AI-powered operations. We’ll introduce the concept of Agent 365, discuss how AI agents change the security and risk landscape, and provide practical guidance on governing non‑human identities, enforcing data boundaries, and maintaining visibility and control as agent usage grows.

• Welcome & Industry Context: The evolution from AI assistance to AI execution, and Microsoft’s vision for the human‑led, agent‑operated enterprise.
• From Copilot to Agents: Why the Risk Model Changes Understanding how autonomous AI agents introduce new security and governance considerations.
• Introducing Agent 365: Microsoft’s Control Plane for AI Agents How Agent 365 connects Microsoft 365, Copilot Studio, and Microsoft’s security and identity platform.
• Where AI Agent Risk Actually Starts: The Agent Risk Maturity Curve A practical framework for understanding risk across copilot, tenant‑bound, identity‑separated, and pro‑code agents.
• Governing Agents with Microsoft Security & Identity Identity boundaries: Data protection, monitoring, and lifecycle governance for AI agents.
• Practical Guidance – What “Good” Looks Like: A staged, security-first adoption model for enterprise AI agents.
• What’s Next & How to Get Started: Aligning agent adoption with broader Microsoft security investments such as Entra and Microsoft 365 E5.