“The agent was solving a simple Terraform problem. Things didn't work exactly like they were supposed to, and it decided that maybe applying the changes would be a good idea. … So it went on and applied some changes on the staging environment that led to some resources being recreated, because naturally apply can be destructive. This was the wake-up call for me.”

Yeah, that's a great question, Brian. And this is basically the question I had in my mind two years ago out of another project I was working before that, where I had to go through, you know, still pretty much manual process of going through compliance requirements, such as SOC2 and ISO 27001 to be able to prepare our company to service a Fortune 500 customer. And even though some the AI models were already available there, GPT 3.5 and similar, they still haven't been sufficient enough to help you mean a meaningful way. So that's where my question popped in my mind. What do we need to build? What kind of harness or agentic workflows, guardrails, what do we need to help the agents, first of all, to be able to identify and solve compliance problems and solve them reliably. And in the process of using agents, that we actually don't make things worse as well. And this is the second part that was interesting as well, because as we started using agents more and more, not, you know, they became generally more useful, but they also became another layer of potential vulnerabilities and breaches. So this is, it kind of brought both solution, but also a…