Agents are like teenagers: profoundly intelligent, extremely resourceful, no fear of consequence, and missing the judgment to know right from wrong at all times. That's how Cisco President and Chief Product Officer Jeetu Patel thinks about securing AI agents, and it's why he says static allow/block rules are already obsolete. Agents are smart enough to route around them.

Jeetu returns to Chain of Thought to map cyber's third phase: an agent trust platform where security and observability fuse into one discipline. He explains how Cisco Cloud Control spins up a digital twin to test every agent-recommended fix before it touches production, why Cisco moved from unlimited tokens to rationing them like headcount, and why the gap between people who are fluent with AI and people who aren't is now a 10x differential, not 10%.

He also makes the contrarian case that AI will create more jobs than it destroys.

We cover:

Why agents need dynamic runtime guardrails instead of static allow/block rules
The agent trust platform: how security and observability are fusing into one discipline
Agentic ops in Cisco Cloud Control: ambient agents, digital twins, and human-in-the-loop
How Cisco rations AI tokens the way it rations headcount
The intelligence, cost, and control trade-offs behind open vs closed models
Action control vs access control: what rights you actually grant an agent
Why every automation step creates a new human bottleneck, and more jobs

Chapters:

(0:00) Agents are like teenagers: cold open
(0:25) Welcome back Jeetu Patel
(1:18) Open weight vs closed models
(2:26) Intelligence, cost, and control: the model trade-off triangle
(10:13) Shrinking model half-life and the economics of frontier training
(11:38) Why token costs still outrun token value
(14:15) Build your own evals and route intelligently
(17:11) Rationing tokens like headcount at Cisco
(19:54) Agentic ops: ambient agents and digital twins in Cisco Cloud Control
(23:01) When to take the human out of the loop
(25:13) Cyber's third phase: the agent trust platform
(28:17) Parenting AI agents: dynamic boundary conditions, not static rules
(31:10) LiveProtect and baking security into the network fabric
(34:40) Action control vs access control for agents
(36:42) What the industry is getting wrong
(37:48) The case for AI creating more jobs and the 10x fluency gap
(42:36) Career paths, entry-level hiring, and upskilling at scale
(45:40) Closing thoughts

Connect with Jeetu Patel:

LinkedIn: https://www.linkedin.com/in/jeetupatel/
X: https://x.com/jpatel41
Cisco: https://www.cisco.com

Connect with Chain of Thought host Conor Bronsdon:

Newsletter: https://newsletter.chainofthought.show/
Twitter/X: https://x.com/ConorBronsdon
LinkedIn: https://www.linkedin.com/in/conorbronsdon/
YouTube: https://www.youtube.com/@ConorBronsdon

More episodes: https://chainofthought.show

Thanks to Svix, presenting sponsor of season four of Chain of Thought. Svix delivers billions of reliable webhooks for startups and the Fortune 500. Get started at https://link.svix.com/cot. Qualified startups get $12,000 in credits, and YC companies get $50,000.

AI Agents Need Parenting, Not Static Rules | Cisco's Jeetu Patel

Chain of Thought | AI Agents, Infrastructure & Engineering

AI Agents Need Parenting, Not Static Rules | Cisco's Jeetu Patel