The Beginner’s Guide to Machine Data in the Agentic Era

AI is changing how organizations operate, from faster threat detection to autonomous incident response. But AI is only as effective as the data behind it.

Modern environments generate a massive amount of machine data across logs, metrics, traces, and events (you name it). This operational data holds the real-time context needed to detect issues and investigate incidents. The challenge? It’s often fragmented, expensive to manage, and difficult to operationalize.

As organizations move into the agentic era — where AI systems can analyze, decide, and act autonomously — the stakes are higher than ever. Without trusted, contextual machine data, automation breaks down, decisions lose accuracy, and operational risk grows.

Download The Beginner’s Guide to Machine Data in the Agentic Era to learn: