AI Governance Fails Without Identity Intelligence – Part 2
Brief
Securing AI Decisions, Systems, and Autonomous Agents
In Part 1, I argued that AI governance cannot stop at models, data, and outputs.
Organizations must also govern the identities that build, train, deploy, modify, invoke, and oversee AI systems.
That requirement becomes even clearer when we move beyond GenAI .
AI now influences fraud detection, physical operations, cybersecurity, medical decisions, recommendations, identity verification, industrial automation, and autonomous actions. In each of those cases, identity intelligence provides the attribution, context, and accountability required to establish trust.
Identity Intelligence Beyond GenAI
Identity intelligence supports many AI use cases that have nothing to do with chatbots or generated content.
Predictive Fraud and Risk Models