Shadow AI
Definition
Shadow AI includes AI use outside the intended approval and oversight of an organization.
The use, procurement, or integration of AI systems outside approved inventory, risk, data protection, and security processes of an organization. It also includes non-agentic tools.
Simply explained
Employees use AI tools for work without the responsible authority knowing or approving it.
Why it matters in practice
The term supports companies in selecting technologies sensibly, anchoring them organizationally, and using them competently.
Example from business
Employees upload internal documents to an unauthorized assistant.
Limits and pitfalls
- Restrict Shadow AI to data uploads or agents only, use only prohibitions, ignore legitimate needs, or fail to inventory browser services, embedded AI functions, and own integrations.
Origin & history
Shadow AI developed as a variant of Shadow IT with easily accessible generative services.
Use in mid-sized companies
- Possible example: Employees upload internal documents to an unauthorized assistant.
Frequently asked questions
What does Shadow AI mean?
The use, procurement, or integration of AI systems outside approved inventory, risk, data protection, and security processes of an organization. It also includes non-agentic tools. What mistakes should be avoided? Restrict Shadow AI to data uploads or agents only, use only prohibitions, ignore legitimate needs, or fail to inventory browser services, embedded AI functions, and own integrations.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: