Governing Shadow AI and Sanctioned AI Where It Executes
Shadow AI isn’t some future risk — it’s already running on your endpoints. This on-demand session walks through exactly where, and what you can do about it.
Overview
AI adoption has quietly gotten ahead of security teams. People are pairing with copilots, spinning up local models, and letting coding agents touch real source code and production systems — often without anyone in security even knowing those tools are there. This session is for the people who have to answer for that: CISOs, security architects, and endpoint and SecOps leaders who want a straight answer to what AI is actually running, who’s running it, and what it can reach.
Instead of talking in hypotheticals, we’ll show you what this looks like in practice, including a live demo, and make the case for thinking about AI governance a little differently: not by watching it go by on the network, but by controlling it right where it runs — on the endpoint.
Speakers
Kobi Katzir
VP of Product, Morphisec
Kobi Katzir is VP of Product at Morphisec, where he leads product vision, strategy, and execution across the company’s prevention-first portfolio, including AI Usage Control. His career spans endpoint, data, and cloud security: he previously served as Head of Product Strategy and Management at Cybereason, held product leadership roles at Check Point Software Technologies, and was Director of Product Management at Imperva, where he focused on data privacy and compliance.
That range shows up in how he thinks about AI adoption today — less about locking tools down, and more about giving security teams the visibility and control to let employees use AI safely, without getting in the way of the business.
