AWCP discovers the AI agents already operating inside your environment, measures exactly what each one can reach, and catches the moment their access quietly grows.
Every modern security tool watches the network. None of them can tell you that a process talking to an API is an autonomous AI agent, who owns it, or what it can reach. The signal is already in your telemetry — nothing interprets it.
Accurate. Logged. Correlated. And completely blind to what it means — a line in a sea of identical lines, with no notion that software is now acting on its own.
Same telemetry. Interpreted. Named, attributed, and scored by what it can actually touch — so you can govern it instead of scrolling past it.
AWCP maps every agent to the data and systems it can touch. Most sit harmlessly at the edge. But when one gains access — a new scope, a new permission — its blast radius expands across everything it's connected to.
Watch what that looks like.
The same word — "agent" — can mean a harmless helper or a tenant-wide risk. AWCP tells them apart by what each one can actually reach if it were compromised.
Your raw telemetry never leaves your environment — only a sanitized inventory does. The interpretation that matters stays with us, and it never stops running.
A lightweight collector reduces local telemetry to AI-relevant activity and strips it to a sanitized inventory. No payloads, no file contents, no secrets leave the machine.
The classifier names each agent, attributes it, and scores its blast radius — the defensible intelligence that never ships to the endpoint.
It re-checks on a schedule and stays silent until something meaningful changes — a new agent, a new destination, an expanded reach. Quiet is the goal.
A live assessment surfaces the AI agents your stack can't see — and shows you exactly what they can reach. It takes minutes to run and nothing sensitive leaves your walls.