Shadow AI & Sandbox Escapes: Why You Need an Agentic Control Plane?

About this episode

When Claude Cowork hits a roadblock, it doesn't give up, it writes a custom Python script and downloads an untrusted NPM package just to bypass its restrictions and finish its goal. Are your security tools close enough to stop it? In this episode, Ashish sits down with Michael Leland, VP, Field CTO at Island, to discuss the critical need for an Agentic Control Plane. Michael breaks down why traditional security silos (EDR, DLP, CASB) fail to provide visibility when autonomous AI agents execute tasks outside the network, and why the browser is the ultimate line of defense for monitoring user intent. We explore the massive reality of Shadow AI and the hidden danger of well-intentioned employees accidentally hooking up sensitive data to public LLMs. Finally, Michael shares practical strategies for solving token waste through "model fit steering" and managing the complex "two-hop problem" when an agent calls another agent. Guest Socials -⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠Michael's Linkedin Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠