Find the AI your employees already use.
Every unsanctioned copilot, chatbot, extension, and MCP server — surfaced, risk-scored, and brought under policy without slowing anyone down.
You can't govern what you can't see.
Shadow AI isn't a discipline problem — it's a visibility problem. Three ways it gets ahead of security:
Adoption outruns approval
New AI tools show up in days; security review takes quarters. The gap between the two is where data leaks.
Prompts are the new exfil path
Source code, deal terms, and PII pasted into personal AI accounts leave no file trail for legacy DLP to catch.
Integrations no one owns
MCP servers, plugins, and extensions touch production data without an owner, a review, or an off switch.
From shadow to sanctioned in three moves.
Build the census
Agentless discovery maps every AI app, account, extension, and MCP server touching company data — including the ones nobody registered.
Data Discovery →See what flows in
Every prompt and context window classified in-line, so you know exactly which tools see restricted data — and which just draft emails.
MCP & AI Data Protection →Guardrails, not bans
Per-tool policy — allow, redact, or block by data class. Teams keep the tools they love; restricted data stays home.
Data Loss Prevention →Sanction the AI your teams love — safely.
A census in the first week, guardrails in the first month — without a single endpoint agent.