Historically, "identity" has been defined by the relative stability of the thing identified.

Human identity centers on a persistent set of relatively invariable characteristics. Even traditional software application identity relies on static, predictable service accounts executing linear, pre-programmed logic that changes infrequently.

However, as we  follow the yellow brick road into the era of agentic AI, we must look behind the curtain to see how the wizard really works, in order to understand its identity (or identities).

Agentic AI identity is fundamentally different because it is defined not by a fixed configuration, but by dynamic agency. The autonomous ability to reason, plan, and mutate its own execution path in real-time, and the injection of natural-language prompts by humans, that must be parsed and translated into running code. 

This session will explore how this shift from reactive automation to autonomous initiative creates a new "identity blur," where the software's "identity" is as ephemeral and context-dependent as the natural language and non-deterministic robot agency that created it. 

With the courage of a lion, a heart big enough that only a tin man can have, and with a click of the heels of our ruby slippers, we'll take a peek behind the curtain at the challenges of agentic identity, and how we might tackle them.