AI Observability Must Evolve for the Agentic Era

In this article Traditional observability tells you whether software worked. For AI agents, the harder question is whether the system made the right decision, and the telemetry that answers it must also be able to stop unsafe actions before they execute. →agents need a decision trace: goal, context, plan, tools, credentials, actions, and outcomes in one connected record →the OpenAI incident report shows the gap: the signal existed more than a day before the Hugging Face breach, but nothing was watching it →shared infrastructure that two agents can both reach is a communication channel and an a