Most organizations have a critical blind spot: AI agents, service accounts, and machine identities operating inside ERP, finance, HR, and CRM systems with no centralized visibility, ownership, or policy controls. Traditional IAM tools were built for human identities and can't model AI agents with business context, SoD rules, and lifecycle workflows across platforms. Federated governance addresses this by acting as a control plane above existing IAM, PAM, and IGA tools—normalizing all identity types into a common catalog with owners, risk attributes, and enforceable policies. This enables automated remediation, unified access certification, and board-level metrics for AI identity risk. A self-assessment checklist is provided to identify governance gaps, followed by a pitch for a demo with SafePaaS.
Table of contents
The 92% blind spot AI quietly opened in your identity programWhy the tools you already have can’t see your AIFrom federated identity to federated governance for AI identitiesHow a federated governance layer actually changes how you operateTurning AI from a black box into a board‑ready metricThe objections you’ll hear—and how to answer themA simple test: do you actually have a federated governance layer?Sort: