AI Governance Fails Without Identity Intelligence – Part 1
Brief
Governing the Identities Behind Artificial Intelligence
Artificial Intelligence (AI) governance has a dangerous blind spot.
Organizations generally govern models, data, use cases, and outputs, and pursue regulatory obligations. Yet many fail to govern the identities that create, train, authorize, modify, deploy, and operate those systems.
That gap matters because AI systems hardly ever exist in isolation. People build them. Pipelines train them. Service accounts deploy them. Applications invoke and/or integrate with them. Multiple sources supply their data. Administrators change their policies. Increasingly, autonomous agents act through them.
Every one of those interactions involves identity, authority, and trust.
Without identity intelligence , AI governance becomes an exercise in documenting technology without understanding who controls and/or accesses it.