AI Observability Must Evolve for the Agentic Era

Traditional observability (monitoring tools that check if software is working correctly) isn't enough for AI agents (AI systems that make decisions and take actions autonomously), because we need to know if they made the right decision and stop unsafe actions before they happen. The article highlights that AI agents require detailed tracking of their decision-making process (goal, context, plan, tools, credentials, actions, and outcomes), and notes that shared infrastructure between multiple agents can become an attack surface (a vulnerability attackers can exploit) if not properly monitored.