Why are you digging a hole I now have to fill, and then I have to do the real work anyhow? So it's kind of those two, call them the two sides of, of the same coin.

Makes sense.

So it's accountability at one level, right? Like analysts, the buck stops with the analyst when you're actually doing the work, but what happens when AI agents are doing the work? Who has the responsibility there? Something that we really lean into is transparency and auditability in what AI agents are doing in order to make things explainable so that you can blame AI agents appropriately and coach them.

So there's one thing if it's just a black box and shows, you know, a red banner, "This is bad," and you go do all this remediation, and it's wrong.

But if you can't look at the queries that it issued or the reasoning as to why it made these specific decisions, just like you would a human, or in fact it may see a better audit trail than a human would do, you at least have some level of culpability of like, "Hey, the AI agent made a mistake in reasoning right here." And then I think the next piece, and what you're asking for is like instead of building a septic system and fix the sewer main, is I need to be able to deliver specific context or guidance and coach this AI agent to say, "Don't make this reasoning mistake.

Here's exactly how I expect you to handle this situation." And as a consumer, I expect to see that adaptation in place or the back testing of that to, to take place.

And so that's, that's how we think about the problem.

And, and I would agree with you, right? Like, you can't do it without consent, but we also have to start, like we, we really have to, just like we're hammering you, right? We have to hammer our peers and go, "Guys, you've gotta get over this share nothing thing or, or you make all of us worse." That's all, that's all I think Will and I are saying.

Are you seeing a similar dynamic or what are your thoughts there?

I would say AI adoption is actually higher than you might expect.

A lot of security teams are charged with, whether that's executive leadership or their internal team, we've got to incorporate AI into what we're doing.

I think there are a couple of factors there.

One is everyone's exposed to these sort of co-pilot chat style, chat GPTs, and seeing the immediate benefit from those changes.

I think there's also economic pressures where teams are getting smaller, having to do the same with less.

And those things gliding is drawing folks closer to AI.

Usually that's the big response when I talk about or when I ask about, hey, what are some of the bigger trends in the next year, year and a half? But outside of AI, are there maybe some other things that you're seeing that are going to impact cybersecurity going forward?