AWS | Agentic Security: Detection and Response at Machine Speed

Organizations are deploying autonomous AI agents into production at scale: agents that authenticate, execute multi-step workflows, and make decisions across cloud infrastructure. These agents operate at machine speed, which means security operations must too. When agents behave unexpectedly, the pattern closely resembles an insider threat, but traditional detection and response cycles were designed for human-speed investigation. In this session, we'll share what we're seeing across enterprise environments as agentic workloads go into production: where the detection gaps are, why observability and security telemetry must converge at the application layer, and how organizations are building response capabilities that contain and remediate autonomously in seconds, not hours. We'll walk through practical patterns for calibrating automated response: when to contain, when to escalate, and when to let the system close the loop. The goal is to make security as fast and autonomous as the workloads it protects.