Most AI programs are not stalling on model quality. They are stalling because nobody can say with confidence what the assistant can reach, who granted it that reach, and what happens when it acts on what it finds.

For years, obscurity did the quiet work of access control. Nobody could find the 2019 compensation model buried four folders deep, so the fact that 4,000 people technically had access never became a problem. Copilots and internal agents removed that friction in roughly two quarters. The exposure did not change. The discoverability did.

And the identity asking is no longer always a person. Agents and service accounts now outnumber employees in most environments, and a permission granted to an agent is not a viewing right. It is an action that can execute at 3am with no ticket behind it and no human in the loop.

This discussion brings security and data leaders together to work through how peers are getting past pilot and into scale.

The conversation covers what the AI can surface for a new hire on day one and how long it would take to find out, what has to be classified and remediated before the next use case ships, who actually owns agent identity today, and how leaders are sequencing that work against business pressure to move faster.