Which particular verticals are you seeing being the most ripe ones for good adoption?

Yeah, I think this comes, we actually just had a conversation.

I was filming part of our kind of AI training for the company earlier this week, but having a conversation with actually, so Brooke, our chief legal officer, and then Sterling Parker, who's our SVP over support.

And one of the things we talked about is you're not gonna find success in adoption unless you have a good view and good clean data into what the actual tasks are you're looking at.

And I think most folks that use agents to do things or have been kind of early adopters, I suspect either have run into this and it turns out their adoption doesn't work well, or they understood it fundamentally from the outset that, you know, garbage in, garbage out has been a problem with software from day one.

And I think AI, and this is probably for almost all of the implementation of LLMs, agentic work, any of it is that garbage in, garbage out idea.

is now at machine speed if you want to use the marketing speak right but it what it does is it it turns the volume to 11 right you're on spinal tap mode for any sort of problem like that um with ai because there's not there's strong reasoning there, right? But you don't have that kind of grounded human interaction to say, does this really make sense? It's like, no, no, you told me to do this and that's what I'm going to do.

Is this something that Ivanti is kind of getting prepared for? Because, you know, Mythos is coming and people say like, oh, Mythos might be used by the bad actors, you know, just as well as by the white hat ones.