Most identity programs were built around people. Joiner, mover, leaver. HR drives provisioning, access reviews validate decisions, and governance assumes identities behave like employees.

That assumption was always fragile. Many organizations are still struggling to get workforce identity right. Data quality is inconsistent, lifecycle processes break down, and ownership gaps are more common than most programs admit.

Now add non-human identities and AI agents, and the scale shifts considerably. Most programs were never designed for them.

This session uses the concept of "identity therapy" to examine these patterns. Through a fictional enterprise patient, we will diagnose common symptoms across workforce, non-human, and AI identities and explore what is actually driving them.

The challenges are not new. They are familiar problems stretched across a population identity programs were not built to handle.

Attendees will leave with a clearer way to think about what needs to change and why most root causes point back to ownership, lifecycle design, and decision clarity rather than technology.