What shadow AI really is
Your team is already using AI tools you have never reviewed.
Employees adopt AI tools because they help. Sign-ups happen with personal emails, data flows into free tiers, and nobody records which tools touch customer or employee data.
Common challenge
Adoption is invisible
New AI tools arrive weekly through browser tabs and personal accounts. There is no purchase order to catch, so procurement and IT never see them.
Common challenge
Risk concentrates in free tiers
Free AI tools often train on inputs and offer no data processing agreement. That is exactly where unreviewed usage lands first.
Common challenge
Banning everything backfires
A blanket ban drives usage underground. People keep using AI — they just stop telling you about it.
Before a platform
Discovery only helps if every finding gets a decision.
The goal is not surveillance — it is a governed inventory where every discovered tool is approved, restricted, or blocked, and employees know the outcome.
Inventory what you already know
List the AI tools in known use, who owns them, and what data they touch. This becomes the baseline that discovery is measured against.
Give every discovery a decision
Triage each new tool: approve it, restrict it to specific teams or use cases, or block it — and record why.
Publish the allowed list
Employees follow rules they can see. A visible allowed-AI list turns shadow usage into a request path instead of a secret.
Shadow AI triage map
Discover
Decide
Allowed list
When manual tracking breaks
Spreadsheet inventories break the moment AI adoption accelerates.
You can track ten tools manually. You cannot track a hundred employees adopting tools weekly across browsers, plugins, and MCP connections.
- Companies that suspect AI use is broader than any list they keep
- Security and compliance teams asked to attest to AI usage
- Organizations preparing for EU AI Act inventory obligations