Comment by Marcelo Lorenzetti

As AI agents move from experimentation into production, they are increasingly capable of executing commands, accessing enterprise systems, modifying infrastructure, and making operational decisions without continuous human supervision. But what happens when an autonomous agent makes the wrong decision at 2 AM? Who detects it, who has authority to intervene, and how do we stop the action before it becomes a production incident? [...] We'll explore how OpenTelemetry, agent registries, identity-aware policies, authorization gateways, human approval workflows, runtime monitoring, and automated kill switches can work together to make autonomous systems safer and more reliable. [...] Observing an AI agent is not the same as controlling it. Reliable autonomous systems require both.