The alert came at midnight. Our AI access policies had failed, and a shadow account was pulling sensitive data through Microsoft Entra. It wasn’t a breach of code. It was a breach of governance.
AI governance in Microsoft Entra is not about firewalls or encryption alone. It is about controlling who gets access, what they can do, and how every action is recorded. Entra is already the backbone of identity and access management for many organizations. But when AI models plug into it, identity risk scales faster than traditional controls can handle.
The foundation starts with policy design. Role-based access controls in Microsoft Entra should align with data sensitivity and AI usage policies. Admins must enforce Conditional Access — every AI interaction should be verified against context, location, and device compliance. Service principals tied to AI pipelines need their permissions cut to the bone. Every token and certificate should expire fast.
Governance only works if it is visible. Microsoft Entra's audit logs, sign-in logs, and entitlement management reports give the raw truth. Pair those logs with automated detection pipelines. Flag anomalies in AI service accounts instantly. Hunt for unusual token usage or repeated failed attempts from new IPs.