Govern AI agents with Microsoft Entra custom security attributes

Short summary

This article explains how to use Microsoft Entra custom security attributes to build a scalable governance metadata layer for AI agents. It provides a concrete attribute schema covering approval status, environment, data sensitivity, access pattern, and lifecycle state, along with role-based delegation guidance for managing who can define and assign these values. The approach shifts agent governance from manual one-by-one management to attribute-driven policy enforcement across Conditional Access, reporting, and lifecycle reviews.

• •Defines a custom security attribute schema (AgentGovernance attribute set) with fields like ApprovalStatus, Environment, DataSensitivity, AccessPattern, and SourcePlatform
• •Recommends role separation: Attribute Definition Admin owns schema, Attribute Assignment Admin applies values, with PIM for human access
• •Maps each attribute to a suggested data source (business sponsor, platform owner, data owner) for backfilling existing agents and gating new ones

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