Unlocking AI Without Unlocking the Front Door

AI adoption in education is accelerating faster than most institutions can govern it. Every new tool your faculty downloads, every AI assistant your students interact with, and every automation your IT team deploys is touching sensitive data, accessing identities, and creating risk your current policies may not cover.
 
This session is designed for education leaders who are being asked to move fast on AI without a clear picture of what that means for their institution's security posture. You do not need to be a security expert to leave with something actionable.
 
We will walk through a practical framework for evaluating AI risk in education environments, covering data governance, identity management, and compliance obligations that do not pause for innovation cycles. From there we will look at what responsible AI adoption actually looks like in practice, using real tools to show how institutions are securing their environments without slowing down progress.

Whether you are leading a K-12 district or a university system, you will leave with a clear framework you can bring back to your team and a realistic picture of where your gaps might be.