AI is accelerating the risks that security teams already struggle to control: unmanaged data access, identity sprawl, and limited visibility into who (or what) is touching sensitive information.
Today, AI systems and agents are operating across enterprise environments, accessing data at speed and scale that no human team can manually track. But most organizations still can’t answer the questions that matter most:
What data are these agents accessing? What are they allowed to do with it? And where are the guardrails?
The real exposure sits at the data layer — where both people and AI agents interact with sensitive information without consistent governance, clear ownership, or enforceable boundaries.
Join this webinar with BigID and SC Magazine to learn:
What you’ll learn:
- Why AI risk is fundamentally a data problem, not just a model or access problem
- How to discover and classify sensitive data before it’s exposed to AI systems and agents
- How to govern access consistently across human users and AI agents interacting with that data
- How to define and enforce clear usage boundaries around what AI can see, use, and move
- How to establish ownership and accountability across security, data, and AI teams
Speakers:
- Kyle Kurdziolek, VP, Security
- Adrian Sanabria, Principal Researcher at The Defense Initiative