AI governance isn't just an engineering problem anymore - it affects the whole company. Costs spiral, employees use tools you've never approved, and vendors are embedding AI into software you already run. Writing policy is easy; it won't stop a data leak or a model that makes things up. If you want to keep your company safe, you have to move past policy and start using tools that actually watch what the AI is doing.

This session gives you a practical plan to secure how your company uses AI. We cover how to find where AI is hiding in your business and assess those tools for risk; how to track your own AI development so you have an audit trail if something goes wrong; and how to set up guardrails that block a policy violation the moment it happens - without grinding operations to a halt.