Shadow-AI detection for coding agents.
Most AI use at work runs through personal accounts and tools security never approved. MoorAI inventories the AI on each device (apps, accounts, agents, and extensions) from redacted, content-free signals, so security can see it. On-device, open source, macOS, Windows and Linux.
What MoorAI discovers.
Signals a network proxy can't see — because they live on the endpoint, not on the wire.
Gateway-based shadow-AI discovery only sees what crosses the corporate egress. A developer off the VPN, an agent calling a model API directly, a locally-configured MCP server, a personal account on a personal network — none of it reaches the proxy, so none of it appears in the inventory. MoorAI reads the device itself, so coverage doesn't depend on the traffic taking a particular path.
From inventory to a readiness score.
Every signal rolls up into a per-device trust score and a per-tenant, board-level AI-readiness number: how many devices report in, how many personal accounts and unapproved MCP servers are in play, how many high-risk AI apps are installed, and what the endpoint posture (antivirus, patch state) looks like. A content-free data-lineage trail shows which data categories left via which agent over time — never the content itself.
See the shadow AI
on your fleet.
Accounts, apps, MCP, extensions — from content-free signals.