Key facts
- Shadow AI is AI in active use that bypassed formal procurement or governance review.
- It typically enters through free or low-cost generative AI tools adopted by individuals.
- Surveys and software/expense audits are the most reliable ways to find it.
- Blanket bans rarely work — they push shadow AI further underground.
- Bringing shadow AI into the inventory is usually more effective than banning it outright.
Why shadow AI happens
Employees adopt AI tools because they solve a real, immediate problem faster than existing approved tools — drafting text, summarising documents, writing code. If the approved toolset does not meet that need, people route around it, usually without realising the governance implications.
Why it matters
Shadow AI tools often process real business and customer data with no assessment of data protection, security or EU AI Act risk implications. An organisation with significant shadow AI cannot make accurate claims about its AI risk posture, because it does not have visibility over its actual AI footprint.
How to find it
Run a direct survey asking teams what AI tools they use day to day — most people will answer honestly if the survey is framed as understanding usage rather than catching rule-breakers. Cross-check with expense claims, software subscription records, and browser extension or SaaS access logs where available.
What to do once you've found it
Bring identified tools into the inventory and assess them like any other AI system, rather than reflexively banning them. A blanket ban without a viable alternative usually just pushes the same behaviour further underground, making the next audit harder rather than easier.
Frequently asked questions
What is shadow AI?
AI tools in active use across the business that have not gone through formal procurement or governance review.
Why does shadow AI happen?
Employees adopt tools that solve an immediate problem faster than the approved toolset, often without realising the governance implications.
How do you find shadow AI in an organisation?
Direct team surveys combined with expense claim and software subscription audits are the most reliable methods.
Should shadow AI tools be banned once found?
Usually not outright — bringing them into the inventory and assessing them is more effective than a blanket ban, which tends to push use further underground.
Why is shadow AI a governance risk?
It processes real business and customer data with no assessment of data protection, security or EU AI Act risk implications.
Related pages
Sources
Last updated 19 June 2026.