Understanding the risk
Shadow AI is already inside your teams.
Your employees use ChatGPT, Claude and Gemini on confidential documents, with or without your approval. This is not a hypothesis. These are the numbers.
The numbers
Shadow AI in data.
Sources: IBM, Microsoft, Cyberhaven, Software AG, UpGuard : 2024-2025.
The paradox
Banning it doesn't work.
- Block access to ChatGPT on the corporate network
- Send an acceptable-use policy by email
- Ban AI use on confidential documents
- Wait for IT to deploy an official solution
- Employees use their phone or personal connection
- 46% would continue even after an explicit ban
- Sensitive documents still reach third-party AI tools
- The risk becomes invisible, and unmanageable
What goes into AI tools
What data is exposed?
According to Cyberhaven, of the 27.4% of sensitive data sent to AI tools, here is the breakdown by type.
Regulation
The AI Act: a concrete deadline.
The European AI Act imposes transparency, documentation and risk-management obligations for high-risk AI systems. The compliance deadline is approaching.
Using ChatGPT or Claude on client documents without a protection layer or audit trail exposes your organization to growing regulatory risk : on top of data leakage risk.
The solution
Secure without blocking.
The right answer to Shadow AI is not a ban : it's securing usage. Your teams will keep using AI. The challenge: sensitive data must never leave in plain text.
- IBM Cost of a Data Breach Report, 2025
- Microsoft & LinkedIn Work Trend Index, 2024
- Cyberhaven Data Loss Report, 2024
- Software AG Shadow AI Study, 2024 (6,000 knowledge workers)
- Awareways Shadow AI Trend Report, 2025
- UpGuard Shadow AI Report, November 2025
- Harmonic Security, 2025