LLM‑Powered Agents Turn Security Log Overload into Scalable Observability
Enterprises are using LLMs and autonomous agents to parse petabytes of daily logs, slashing observability costs and turning raw telemetry into actionable security insight. The approach reshapes security observability into a data‑engineering problem, letting teams automate parsing, correlation, and alerting at scale.