Your AI agent needs a governance layer, not just guardrails Your AI agent approved a $2.4M loan disbursement at 2:47am. No human reviewed it. You find out because the customer called. You pull the logs there are none that matter. You check the prompt it looks fine. You check the output validator it passed. You have no idea what policy version ran, what signals the model saw, or whether anyone could tamper with the record between then and now. You are completely exposed. This is not a hypothetical. If you're shipping agents that make decisions with real consequences approvals, disbursements, escalations, data access you've already built the system that will eventually put you in this position. The problem with "guardrails" The AI safety tooling ecosystem has converged on a pattern: wrap the model, validate the output, maybe add a confidence threshold. If the output looks wrong, reject it. This is guardrails. It is not governance.…