Five Ways AI Gets You Fired (And How to Avoid All of Them)

The biggest AI risk in your organization right now isn't a sophisticated attack. It's an employee who has no idea they're doing anything wrong---pasting proprietary data into a public LLM, running an unauthorized agent against a business account, or assuming that because a tool feels safe, it is. By the time that shows up in your logs, if it shows up at all, the exposure already happened.

This session names five specific AI behaviors that create real legal, regulatory, and organizational risk---and more importantly, explains why well-intentioned people keep making them. Not because

they're careless. Because the governance signals they're getting are either absent, too slow, or actively pushing them toward shadow AI. Understanding the gap between how AI policies are written and how people actually behave is the precondition for fixing it.

Attendees leave with a clear-eyed map of where the real exposure lives, a framework for operationalizing responsible AI at the individual and team level---not just in policy documents---and a 30-day model for moving from shadow AI chaos to working governance without halting the productivity gains that are already happening on the ground.