Talk to me about, are we seeing that today? Are your customers seeing that today? Is that something that we should be expecting in the future?

Chris, I think this is an excellent question.

I think that part of the problem actually is still identified as tokenomics, like being able to do the reasoning, being able to utilize different AI models at whatever sophistication level they are, can input or interpret different results as the outcome.

And so I think there are actually a couple of things that the industry has almost shied away from is talking about deterministic tools, forensic tools that actually give you those outputs that you are expecting and need to be repeatable and need to look at things that no one else is going to look at at that scale.

That's where the industry's baseline needs to be right now.

But there is no doubt that AI has been able to be a massive indicator of a lot of different combinations, like you mentioned, Looking at behavioral analysis, for instance, or something that takes a lot of different inputs and takes the semantics of what text was looked at and not just a URL analysis and sub analysis and all these different things that have to look at, hey, what was the code there? We've never seen this code before.

Is it actually malicious or not? And so being able to have forensic tools to lean on to do that, and in the midst of that and interwoven, having security-specific AI LLMs looking and reasoning across these different things give an incredible output of validation, of accuracy.

Are we managing... bot armies? Are we back to only humans in the SOC? Are we some kind of field general? I really want to understand what you think that picture looks like when it's all said and done.