00:11:48 · Ruby Justice Thelot, Angela McNea
[00:11:48] S1: Yeah, totally. I mean, I'm just curious if you could paint a picture of the stakes for agent failure in this industry, but also others. [00:11:58] S0: Yeah. So again, an enterprise version of this is if you have agents that are helping you with your reconciliation, again, common one, reconciliation flows in sort of a big financial institution. Mistakes there can cost your business billions of dollars. So they carry a huge financial and potentially, probably actually a legal risk element to it. And then a of defense setting, it's like are life or death stakes. So you have extrema. [00:12:39] S1: Yeah, definitely. So I'm curious too, what's next for Threat AI? [00:12:45] S0: So we're growing quite a bit. We have a bunch of open roles around some of our public sector work in particular. So you'll be seeing more from us on that element. And then one of the things I'm pretty excited about is that sort of the investments that we've been making around our building blocks. So for companies who are selling products or building products that they're selling to their customers and want those products to be more adaptable and agentic and AI forward. We've been providing sort of building blocks for companies building products. Keep an eye on some of the stuff we're putting
00:12:45 · Angela McNea, Ruby Justice Thelot
[00:12:45] S0: So we're growing quite a bit. We have a bunch of open roles around some of our public sector work in particular. So you'll be seeing more from us on that element. And then one of the things I'm pretty excited about is that sort of the investments that we've been making around our building blocks. So for companies who are selling products or building products that they're selling to their customers and want those products to be more adaptable and agentic and AI forward. We've been providing sort of building blocks for companies building products. Keep an eye on some of the stuff we're putting [00:13:25] S1: out there. Yeah, Awesome. So, I'm curious, like, what... From from, you know, looking at these companies, if you have any takes on sort of the the ways that companies are just, like, structurally changing and maybe the role of, like, human agent interplay? Like, what, from your perspective, like, where are we going?
00:13:44 · Angela McNea
[00:13:44] S0: Yeah. It's a good question because I couldn't say that there is one singular pattern. And we work across industries, so across financial services and manufacturing and hospitality, advertising. So there's an interesting blend where we're seeing the nature of the developer change. So at these large institutions where engineering is now moved towards more of a like, I'm managing and reviewing and designing as opposed to implementing. And we're seeing, I think that kind of rough same pattern happen with knowledge workers and sort of leaders and experts where the construction of the system, the construction of the process is often the intellectual work. So we're talking about designing those gates. You as a business user have to define what is important. It... Actually, good metaphor is something I used to tell my old team at Palantir. When you're thinking about evaluating a model, and let's say the model is like, hey, this is determining who can join this clinical trial. And when it's classic, it's a classification model, you're saying like cool, like yes or no in each camp. You can join this trial, you can't join this trial. When you're evaluating it, you have to think about the, you are looking at metrics, accuracy and precision and recall, like you're saying, hey, like, then you as a business person with the scientists have to decide what's more important. Is it more important to bring some, have the model be wrong and bring someone into this clinical trial and they get these drugs and they're not a good fit and it can damage their health? Or is it more important to, you know, not include someone, miss out on someone, and so then they get this thing and then sort of, so, like, how we weight to those trade offs, what's more important, that is often codified into the systems. So, it's never like yes or no. It's an investment someone makes in the logic as they're building these flows. And so, I think that's a sort of, we're seeing more intentionality focused there of like, what's important to us? How do we want to spend our time and how do we want our systems?
00:16:04 · Ruby Justice Thelot, Angela McNea
[00:16:04] S1: Okay, I see. I think that like my fear or like what would be an intuitive fear is, maybe if you're at a corporation and you're... Know, you have a lot of people who are now working on software. Yeah. And, like, and I guess that's, like, now become a flatter skill that everyone can, you know, partake in to some extent that there would be less intentionality behind systems. And I guess it's different with industries that are very high stakes, but I'm curious, you're saying that it's becoming more intentional with how people are designing the logic of things. [00:16:38] S0: On the big picture process, I think as for an individual's knowledge work, I think that we're still seeing Wild West. Individual's productivity tools. But when you think of, okay, this is an actual process, often it's designed that way historically for a reason, a combination of people, legal, regulatory. Are a lot of factors that went into designing that thing from the beginning. So if you're looking to disrupt it, and if you're looking to automate and inject AI at different components, all of those factors don't go away. You just now have to rethink them in this AI era. So we're seeing, again, a lot of enterprises spend a good amount of their IP focused on that sort of redesign, which has been pretty cool to see. But I do think it is still, again, like Wild West Yeah. For the individual.
00:17:31 · S2, Ruby Justice Thelot, Angela McNea
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00:18:44 · Ruby Justice Thelot, Angela McNea
[00:18:44] S1: Yeah. So I'm I'm curious also, is there anything that you find... Like, what is the hardest to automate? Or even with the building blocks that you were mentioning, Like, what is difficult about designing building blocks? You kind of have to create something that will work across many different teams or whatnot. [00:19:02] S0: I'd say that is mine and Maya's superpower. That, our primitives that we built sort of from the beginning have been able to adapt to all of the sort of technological changes in the past sort of four years. And we were very explicit from the beginning to not throw away, right, like twenty some years, fifty years of distributed systems, security, software best practices, but to kind of like modernise and make them more adaptable. So learn from best practices. And I think the hard part is often the piece, again, that comes after of like, you you can build a triaging workflow, right? But then you as the builder of this workflow, how do you decide who gets these alerts, the volume of those alerts? Are they too noisy? Are they not as important? So the actual workflow design, I think, is the more challenging part. [00:20:00] S1: Yeah. Do you find that you can transfer these across industries as well?