AI agents are becoming part of the enterprise identity landscape. They can be created across different platforms, access corporate data, call APIs, participate in workflows, and in some cases operate with their own identity.
That makes agent governance more than a discovery exercise. It becomes an identity, access, lifecycle, and risk-management discipline.
The challenge is scale. Administrators cannot govern every agent one by one, especially when agents may come from Copilot Studio, Microsoft 365 Copilot Agent Builder, Azure AI Foundry, third-party platforms, registry sync, or shadow AI discovery. A durable model needs a clear sequence: visibility first, then classification, accountability, metadata, access control, governed access, lifecycle continuity, and monitoring.
This series focuses on the Microsoft Entra side of AI agent governance, with emphasis on Microsoft Entra Agent ID, identity classification, ownership, sponsorship, access control, lifecycle continuity, and monitoring. It is not intended to be a complete governance model for Microsoft Agent 365, Copilot Studio, Power Platform, or every agent-building platform. Those platforms have their own governance controls and should be reviewed separately as part of a complete enterprise agent governance strategy.
