// agent security at the endpoint

You can't inventory the AI agents on your dev laptops. We can.

MoorAI runs on the endpoint and builds a live inventory of every AI agent, harness, model, and MCP server your developers install — content-free by construction. You see what exists and what it can reach, without a single prompt ever leaving the device.

See what's running on your fleet

Your developers adopted AI faster than your program could

Roughly 85% of developers now use AI coding tools, and 45% admit to using unsanctioned ones — Copilot, Cursor, Claude Code, and a long tail of harnesses installed directly on their laptops. These aren't sandboxed web apps: they run with the developer's own permissions, reading source trees, .env files, SSH keys, and cloud credentials, and can push that context to model endpoints and third-party MCP servers you never approved.

The connective tissue makes it worse. 91.5% of MCP servers in the official registry use static keys or no auth (only 8.5% OAuth), and roughly 42,000 MCP servers were found exposed to the public internet in Q1 2026. 88% of organizations running AI agents confirmed or suspected a security incident in the past year. Cloud DLP and CASB don't see any of this — the usage is endpoint- and API-direct, so there's no proxy hop to inspect and no SaaS tenant to audit. The agent is on the laptop, and so is the blind spot.

Sources: Stack Overflow Developer Survey 2025 (via JumpCloud); Guild.ai MCP registry analysis; Aembit MCP Security Guide 2026.

How MoorAI discovers them — content-free, on-device

1. Deploy the on-device agent. The AGPL agent installs on each endpoint (macOS & Windows). It observes locally — it does not proxy traffic or ship prompts anywhere.
2. Inventory what's actually running. It detects installed AI harnesses (Claude Code, Cursor, Copilot, and others), the models they call, and the MCP servers they're wired to — a per-device AIBOM (AI Bill of Materials).
3. Surface it as a fleet worklist. Every device rolls up to the console as managed or unmanaged; newly discovered agents land on a worklist so your team can triage instead of guess.
4. Promote, don't police. Approve an agent and MoorAI auto-promotes it (and future installs of it) to managed — so discovery converges toward a clean inventory instead of an endless queue.

What you get

• Inventory every AI harness — Claude Code, Cursor, Copilot, and other agents installed on each endpoint.
• Map models & MCP servers — which model endpoints and MCP servers each agent is wired to, per device.
• Per-device AIBOM — a live AI Bill of Materials for every laptop: agents, harnesses, models, connectors.
• Managed vs. unmanaged worklist — triage discovered agents from one fleet view; approve once, auto-promote thereafter.
• Content-free by construction — discovery sees that agents and endpoints exist, never what a developer typed.
• Open-core, on the endpoint — AGPL on-device agent, proprietary console. Discovery runs where the agents actually live.

Why content-free matters here

Most endpoint security asks platform-eng to accept a new inspection point that reads developer activity — and the answer is usually no, because the tool becomes a new breach surface. MoorAI removes that objection entirely. Discovery is content-free by construction: the agent sees which agents, models, and MCP servers exist, never what a developer typed or what a file contains. Nothing leaves the endpoint unless an admin explicitly turns on a capture tier. There's no policy to negotiate before you get visibility, and no “your security tool is now the risk” conversation to lose.