#539: Agentic AI is breaking your Cybersecurity controls (and how to solve it)

In this video David speaks to Peter Bailey (SVP and GM of Cisco’s Security business). AI agents are moving fast inside enterprises, and CISOs are hitting the brakes for one reason: the attack surface is expanding at machine speed. In this interview, we break down how agentic AI changes security, why MCP servers and agent tool access create new risks, and what a zero trust approach looks like when the “user” is a non-deterministic agent. We cover real-world problems like shadow MCP servers, agents touching sensitive systems and PII, and why traditional perimeter controls and firewalls are not enough when traffic is encrypted and actions happen too quickly downstream.

You’ll also hear what Cisco is doing across the AI lifecycle: AI Defense for model scanning, provenance and guardrails, plus new protections focused on agent identity, dynamic authorization, behavior monitoring, and revocation. On the networking side, we discuss how SD-WAN and secure access (SASE) can add visibility and policy control for AI usage, including prioritizing latency-sensitive AI traffic while still enforcing security. If you’re a

security engineer, network engineer, or CISO trying to move from AI hype to safe deployment, this video gives you a practical mental model and the controls to start building now.

Big thank you to ‪@Cisco‬ for sponsoring this video and for sponsoring my trip to Cisco Live Amesterdam.

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// MENU //
0:00 - Coming Up
0:30 - Introduction
01:15 - CISOs Problems with AI
02:35 - Real Issues with AI Agents
04:29 - Growth of the Attack Surface
05:34 - Concern of Poisoned AI and MCP
08:09 - What is the Kill-chain
10:16 - AI with Built-in Security
11:56 - Best Practises for AI Security
14:08 - Cisco Innovations for AI
16:48 - Cisco’s Red Team for own AI
18:27 - Secure AI in Public Places
20:09 - Should You get into Cyber Security
21:26 - Advice To Your Younger Self
22:29 - Outro

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Disclaimer: This video is for educational purposes only.
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