You know that feeling when you deploy an AI agent to production and then just... hope for the best? Yeah, that's basically security theater. Your agents are making decisions, accessing APIs, handling user data—sometimes in ways you didn't even anticipate—and you're checking a log file from yesterday wondering what went wrong. The problem isn't that AI agents are inherently dangerous. The problem is that we're treating their security monitoring like we did web apps in 2005: reactive, fragmented, and built on prayers. The Blind Spot Nobody Talks About Traditional monitoring tools were designed for deterministic systems. You know what your service will do. But an AI agent? It's probabilistic. It might take different paths through your business logic based on context. It might retry failed API calls in unexpected ways. It might escalate permissions because it "reasoned" it needed them. This is where most teams get caught.…