Human Vs. AI Identity: Why AI Agents Are Breaking Identity
Security Boulevard, Tuesday, March 3rd, 2026
For decades, identity followed a simple premise: authenticate once, authorize statically, audit periodically.
Human identity assumed interactive sessions, predictable access patterns, and human judgment as the final check. A user might have broad permissions because organizations trusted them to exercise discretion.
Workload identity (microservices, CI/CD pipelines, serverless functions) adapted this model for machines. These workloads are deterministic: given the same input, they produce the same output. A Kubernetes pod calls the same APIs in the same sequence every time. Preprovisioned credentials became the default because access patterns were predictable. You can define which resources a container needs before deployment. But even then, the model carries known risks: secrets sprawl, rotation overhead, and static credentials that outlive the workloads they protect.