BigID

VP of Security

Kyle Kurdziolek

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AI is accelerating the risks that CISOs already struggle to control, such as 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 these critical questions: What kind of data are these agents accessing? What are they allowed to do with it? And where are their guardrails?



The real AI exposure sits in the data layer, where both human and agentic identities interact with sensitive data without consistent governance.




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What you&#8217;ll learn:
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<li>Why AI risk is fundamentally a data-access problem, not just a model or identity problem</li>
<li>How to discover and classify sensitive data before it&#8217;s exposed to AI systems and agents</li>
<li>How to govern access consistently across human users and AI agents interacting with that data</li>
<li>How to establish ownership and accountability across security, data, and AI teams</li>
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