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Find every AI agent, endpoint and MCP.
Even the ones nobody registered.

You can't secure what you can't see. Map builds a live inventory of every place AI is running across your business: the endpoints Nexovern is deployed on, the agents and copilots active on them, and the MCP servers those agents connect to, with the tools each one exposes.

Three things to inventory, one place to see them.

Endpoints

Every machine running the Nexovern sensor, across Windows, Linux and Mac, with its status, version and last check-in. The footprint your AI activity actually runs on.

Agents

Every AI agent and copilot active on those endpoints, Claude Desktop, ChatGPT, Copilot, Cursor and homegrown agents, classified and tied to the identity running it.

MCPs

Every Model Context Protocol server your agents connect to, which agent uses it, how many tools it exposes, and whether it's connected, the fast-growing surface most tools don't track at all.

Shadow AI, surfaced

Agents and MCPs are discovered from real endpoint activity, not self-reporting, so the weekend project and the personal-account copilot show up automatically, the day they start running.

From zero to a live AI inventory.

Map produces its first useful answer in days, because discovery runs off endpoint activity, not off interviewing teams about what they built.

01

Deploy the sensor

A lightweight sensor goes onto your endpoints across Windows, Linux and Mac. No agent-framework lock-in, nothing for teams to remember to register.

02

Discover & classify

Every agent, copilot and MCP running on those endpoints is found, identified and risk-classified, and tied to the identity behind it.

03

Keep it live

The inventory stays current as endpoints check in and new AI appears. New or drifting agents raise an alert, so you find out first.

How many AI agents and MCPs are running right now?

If the honest answer is "we're not certain," that's the conversation to have. A demo starts with what we find on your endpoints.