In mid-2025, an autonomous network triage agent made a decision that extended an outage by 22 minutes and triggered $12.5 million in SLA penalties. The model was functioning correctly. The data was fresh. The coordination worked. The failure was in the governance layer—or rather, its absence.

This talk is a technical post-mortem of that incident. It walks through exactly what happened: what the agent knew, what it decided, what it did, and why the infrastructure had no mechanism to stop it.

The talk then demonstrates what would have prevented the incident: policy-as-code enforcement embedded in the agent execution framework. It shows how an action intent event would have signaled the agent's plan before execution. How a policy engine would have blocked the prohibited action. How an immutable audit trail would have captured the attempt with causal context. And how clear accountability assignment would have closed the trust model void that made the failure possible.

Attendees will leave with a governance framework—define boundaries, embed enforcement, instrument accountability, assign ownership—and a clear understanding of why agent security is not a model problem. It's an infrastructure problem that most organizations haven't realized they need to solve.