Find the shadow AI already running in your org.
Employees added agents, MCP servers, skills, and plugins faster than security could track. Willow finds every one, on any account, and puts a named owner and a policy behind each.
Shadow AI is spreading faster than you can govern it.
Your people are already using AI to do real work. You just can't see most of it. An unreviewed MCP server here. Three Chrome AI extensions there. Customer data in a personal ChatGPT account. A vibe-coded app quietly talking to your database.
No review. No name attached. Nothing in your SIEM. Most enterprises are already running AI agents, and many have already had an incident. The first one you hear about is the one that already happened.
It is not just ChatGPT tabs
The risk is everything that can take an action inside your systems. Willow covers all of it.
The real shadow AI is the skills and plugins.
Everyone watches the chat window. The real risk is the skills and plugins agents install off public marketplaces, running with full access, reviewed by no one. Here's how Willow governs them.
Discover. Govern. Enable.
1. Discover
Willow finds every agent, MCP server, skill, plugin, vibe-app and AI extension across the org, on corporate and personal accounts. Continuous, not a point-in-time scan.
2. Govern
Bind each one to a named employee. Scope what it can reach and do, per tool and per action. Guardrails at runtime, PII redaction, and human approval on the actions that matter.
3. Enable
Hand employees a self-serve marketplace of approved connectors, skills, and plugins. One-click governed connection. Shadow AI stops being a hunt and becomes a front door.
Everything you need to see and govern shadow AI.
Full AI discovery
Every agent, model, MCP server, skill, plugin, vice-app and extension. Corporate and personal accounts.
Identity behind every action
A named human tied to every agent and every action it takes. No anonymous automation.
Govern per action
Read on one app, no writes on another, approval on the rest. Action-level, not domain-level.
PII and secret redaction
Sensitive data hidden before an agent ever reads or sends it.
Runtime guardrails
Policy enforced at the moment of action, not flagged after the fact.
Human approvals
Slack-native sign-off on critical actions, with full context.
Audit trail to your SIEM
Every action streamed to Splunk and Loki. A real forensic timeline.
Personal-account visibility
Catches consumer AI used on work data, where network blocks miss it.
Self-serve enablement
A governed marketplace so employees adopt approved AI in one click.
Inspection finds the problem. Willow fixes it.
Plenty of tools inspect prompts and flag PII. Willow does that, then governs.
Governing shadow AI in production today
Willow runs in production at companies governing AI across the whole org, not in a pilot. Wix governs around 600 tools and MCPs with roughly 5,000 weekly active users behind Okta SSO, with shadow-AI protection and a full audit trail.
Innovid governs developer machines around exposure to MCP servers and external skills. Riskified runs Willow in production, CISO-led. SOC 2 Type II, ISO, GDPR-Ready.
Shadow AI is already in your org
Most enterprises are already running AI agents, and many have already had an agent-related incident. The first one you hear about is usually the one that already happened. You don't need to ban it. You need to see it, then govern it. Willow turns shadow AI from a blind spot into governed, company-wide adoption.
FAQS
Your agents are already in the wild.
Give them a Basecamp. Go from AI chaos to AI work, in minutes.
