AI governance isn’t just an engineering headache anymore; it’s a mess that affects the whole company. Usage and costs are hard to keep in check, employees are using AI tools you are only vaguely aware of, and vendors are sneaking AI into the software you use every day. Writing safety rules on paper is easy, but those rules 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 straightforward plan to secure the way you use AI. First, we’ll look at how to find where AI is hiding in your business and how to check those tools for risks. Next, we’ll talk about how to keep track of how your own AI is being built so you have proof of what happened if something goes wrong. Finally, we discuss how to set up "guardrails" that can step in and block an AI the second it tries to break a rule, without slowing everything down to a crawl.