Agentic AI tools do more than provide information: they plan, act, retry and adapt with the privileges of the user who launched them. 

This session examines how Agentic AI tools behave when controls are put in place and presents a practical governance model organizations can apply: discover the tools in use, standardize approved platforms, govern permissions, restrict unnecessary capabilities, and monitor activity.

Learn how to make trust explicit: define and coach agents so they stay in their lane, while enforcing endpoint controls around them.