Arthur CEO Adam Winchell describes how enterprise AI adoption has accelerated dramatically, with employees running personal agents on laptops, in the cloud, and across data centers. Boards and CEOs are pushing rapid adoption to avoid being left behind, but this creates business risk. Arthur's approach involves endpoint detection, cloud integrations, and SIEM connections to spot new agents as they come online and verify they have appropriate governance and guardrails. ✦ AI generated
Adam Winchell · The Cognitive Revolution · 2026-08-18 · original ↗
starts at this moment · 35:30
“Tell me about the patterns that you are seeing in terms of who is setting stuff up, like the challenges that this creates when people don't know what other people in organizations are doing, and how in practice do you actually detect agents that are running that have not been shared or broadcast across the organization?”
Boards of directors and CEOs and C-suite that are saying like if we don't hurry up and adopt this technology immediately we're going to get left behind... you're just seeing people who are deploying their own instance in a cloud or running stuff on their laptop... it started with like Gasclaw and Opentown and Hermes agents and like all these kind of personal productivity assistants... the question is now how do you allow that kind of innovation to happen while not like being completely creating a bunch of business risk... putting endpoint detection on personal devices, native kind of integrations with GCP and AWS where we can interrogate their stacks, connecting into SIMs so that we can kind of see whether it's network traffic or telemetry data.
verbatim transcript · starts at 35:30
35:14other people in organizations are doing and and how in practice do you actually detect agents that are running that have not been uh you know shared or broadcast across the organization? >> Yeah. So a lot to unpack in that question. The um the first thing is as you said like there enterprises are adopting this technology like generally speaking enterprises are very resistant to to change and to new ways of doing
35:39things and with good reason because if you look at their incentive structure once you've kind of got a business model that's working um you want to just kind of keep it working. You don't want to rock the boat. You want to continue to grow it incrementally but in a very safe way. And I think that got that's been completely turned on its head the last couple years where you have you know
35:56boards of directors and CEOs and sea suitees that are saying like if we don't hurry up and adopt this technology immediately we're going to get left behind and so there's been this really kind of unnatural sense of urgency for these enterprises to adopt this technology and adopt it really at their core of of what they do and with good reason right like it's not hard to to to
36:15see how this is going to really disrupt things and it's better to be the disruptor than the disrupted And so that's created, you know, all these sort of unnatural pressures for enterprises to adopt more quickly than you would think. And I think that um especially in the last like just in the last few months, I think the technology has hit a bit of a inflection point in
36:36terms of the maturity where people, you know, all of a sudden you can use it for like using it for all sorts of tasks is just getting easier and easier. And so some of the stuff you're seeing is you're just seeing people who are deploying their their own instance in in a cloud or or running stuff on their laptop. You know, it started with like Gasclaw and Opentown and Hermes agents
36:55and like all these kind of personal productivity assistants and all these coding um setups that people are running. And in the past enterprises would have just said like it's banned. We're locking that out. We can't do it. But because there's this like broad recognition from the very highest levels that like you can't if you squelch innovation, you're gonna you're gonna pay the price for it. Um you can't do
37:15that, right? And so the question is now how do you allow that kind of innovation to happen while not like being completely creating a bunch of business risk because we've seen the risk that comes from this. And that's what that's what the people we work with want to do, right? They want to be able to say like, "Okay, sure, go ahead and run these agents on your laptop, but we just need
37:34to have like some way of governing it, finding finding out what's running, applying any sort of common sense policies that that that we need to apply and be able to do it in a responsible way. And this is all because this is all sort of brand new technology that's being figured out on the fly. That's that's a real challenge." Um, so when we talk about detecting, it's like how do