How Cogent builds AI agents that have to be right every single time | Geng Sng (Co-founder & CTO - Cogent) - Max Agency

Geng Sng is co-founder and CTO of Cogent, which builds autonomous agents that remediate vulnerabilities for enterprise security teams. Today, Cogent's agents process billions of security events per day, maintaining a live context graph of every asset and vulnerability across customer environments. In this conversation, Geng walks through Cogent's hot vs cold context split, the sub-agents that handle side quests, and the two graphs they run in parallel.

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We also discuss:

Why defensive security is harder for AI than offensive
Under the hood of Cogent's three agents
Inside Cogent's “read only” by-default sandboxes
Why graph databases don't scale for security data
Cogent Research and the move into formal verification
Why interactive agents need a deeper planning phase to one-shot

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Referenced:

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Where to find Geng:

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Where to find Harrison:

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Where to find LangChain:

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Send feedback or questions to [email protected]

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Timestamps:

00:00 Why mean time to exploit collapsed from years to minutes

02:08 Inside Cogent's Agent Lake architecture

05:11 Why Cogent rejected graph databases

10:48 The trust ladder before agents touch production

15:13 The three types of agents inside Cogent

17:07 How Cogent sandboxes its agents

19:16 Short-circuiting interactive agents with a deeper planning phase

24:31 What to do when users believe agents too much

31:21 Why sub-agents let agents go on side quests

34:59 Two-tiered evals and the metric that catches bad prompts

40:00 Cogent’s unique approach to context

48:39 Cogent Research and the move into formal verification

51:33 The single trait Cogent hires for

54:00 Open-sourcing models within six months

57:07 Why defensive security won’t be commoditized anytime soon

1:00:51 The founding insight behind Cogent

How Cogent builds AI agents that have to be right every single time | Geng Sng (Co-founder & CTO - Cogent)

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