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Charlie Lewis

16 facts from 2 episodes, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.

Undated

Charlie Lewis said chief information security officers are ranking AI agent risks among their top risks, with about a third placing them in their top three.

“the CISO from the security standpoint is ranking AI agent risks really in its top risk, about a third of them in the top three risks”

Charlie Lewis · 288. Securing agentic AI: A playbook, 0:04:54

Undated

Charlie Lewis said security spending is shifting away from protect, detect and respond functions toward identity and access management and governance, risk and compliance.

“we are seeing spend move from, say, the protect or or from the detect and the respond type spaces to a lowering spend within there”

Charlie Lewis · 288. Securing agentic AI: A playbook, 0:05:23

Undated

Charlie Lewis is a thirteen-year veteran and reserve officer in the U.S. Army and an assistant professor and researcher at West Point.

“He's a thirteen-year veteran and reserve officer in the U.S. Army, and serves as an assistant professor and researcher at the U.S. Military Academy at West Point.”

Sean Brown · 288. Securing agentic AI: A playbook, 0:02:03

Undated

Charlie Lewis said organizations are using AI-agent threat modeling and automating workflows through static and dynamic application security testing tools.

“we've seen organizations start using agentic threat modeling and then broader integration and automate automation of the workflows through their various SAST and DAST tools”

Charlie Lewis · 325. Addressing AI Frontier Lab model risks and opportunities, 0:06:12

Undated

Charlie Lewis said the industry broadly agrees that AI-generated fixes should not be deployed without human review on critical applications and services.

“We still have full sort of alignment within the industry on not deploying own fixes without human reviews, especially on critical applications and critical business services.”

Charlie Lewis · 325. Addressing AI Frontier Lab model risks and opportunities, 0:15:30

Undated

Charlie Lewis said a crisis war game was run at an international dairy association digital conference, followed by a visit to a Blue Bunny factory.

“we did a war game, a crisis war game example, uh, at the an International Dairy Farmer Uh Association digital conference”

Charlie Lewis · 325. Addressing AI Frontier Lab model risks and opportunities, 0:22:00

Undated

Charlie Lewis said apparently independent vendors may depend on the same cloud provider, identity service or data platform, creating hidden single points of failure.

“what we have found is that several apparently independent vendors can may depend on the same cloud provider, identity service, data platform, or some other foundational infrastructure.”

Charlie Lewis · 325. Addressing AI Frontier Lab model risks and opportunities, 0:24:03

Undated

Charlie Lewis described harvest now, decrypt later as the risk that encrypted data stolen today stays valuable long enough to be decrypted by future quantum computers.

“That encrypted information stolen today could remain valuable long enough to be decrypted later, right?”

Charlie Lewis · 325. Addressing AI Frontier Lab model risks and opportunities, 0:31:20

Undated

Charlie Lewis compared quantum risk to a hurricane that is visible in advance, unlike the sudden arrival of frontier AI.

“My view is this is more like a hurricane. We know it's coming, we have a general idea that it's gonna hit during a certain window”

Charlie Lewis · 325. Addressing AI Frontier Lab model risks and opportunities, 0:35:17

Undated

Charlie Lewis said a well-built harness and strong prompting on a less capable model can outperform average setups on the best model.

“sometimes a really good harness and really strong prompting on a lower capable model will give you a better output than average harnesses and average prompting on the best”

Charlie Lewis · 325. Addressing AI Frontier Lab model risks and opportunities, 0:38:54

Undated

Charlie Lewis predicted that attackers will stay well ahead of defenders for a year or maybe two, and that open weight models will catch up to today's frontier labs.

“All we know is that offense is gonna be way ahead for a period of time, a year, maybe two years.”

Charlie Lewis · 325. Addressing AI Frontier Lab model risks and opportunities, 0:45:43

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