The endpoint is where agents act. Origin observes what they do, traces why they do it, and maps how their behavior propagates across your organization - in real time.
Endpoint detection was designed around a simple assumption: a human sits at a keyboard, and malicious activity looks different from normal activity. AI agents break both of those assumptions simultaneously.
Origin captures the full semantic trace of every AI agent operating on every endpoint - the prompt that started it, the reasoning chain that drove it, every file read, process spawned, and connection opened along the way.
Then it automatically clusters that behavior, so normal patterns emerge as recognizable topology - and anything anomalous stands out by contrast, not by signature.
User prompt intercepted and extracted from API call
Agent decomposes task into 4 sub-operations — file reads, dependency install, code modification, test execution
Agent reads .env and config/secrets.yaml — access attributed to auth refactor task
Outbound connection to unfamiliar endpoint — not part of declared task scope
Session classified as atypical — credential access + undeclared network call deviates from “Auth Refactoring” cluster baseline
Without semantic observability at the endpoint, none of this is possible. With it, security teams gain an entirely new operational surface - one that matches the speed and complexity of the agent workforce itself.