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.

80%
of employees use AI tools not approved by their organization
Awareways Trend Report, 2025
38%
of employees admit sharing sensitive information with AI without authorization
IBM / Infosecurity Magazine, 2024
27.4%
of data copied into AI tools is sensitive corporate data
Cyberhaven, 2024
46%
of employees would continue using AI even if their organization explicitly banned it
Software AG, study of 6,000 knowledge workers
+$670K
additional average cost per Shadow AI security incident
IBM Cost of a Data Breach Report, 2025
65%
of Shadow AI incidents involved personal data (PII) : the rest: intellectual property
IBM, 2025

The paradox

Banning it doesn't work.

What organizations do
  • 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
What actually happens
  • 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
"Shadow AI has emerged as one of the most pressing challenges facing organizations in 2025. More than half of employees use generative AI tools : yet only 55% of enterprises have formal policies governing their use."
Harmonic Security, 2025

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.

16.3%
Customer and support information
12.7%
Source code and intellectual property
10.8%
R&D data and patents
65%
of incidents involve personal data (PII)

Regulation

The AI Act: a concrete deadline.

August 2026

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.

01
Pseudonymise first
Safe-Doc replaces sensitive data with neutral tokens before any AI submission. 90+ entity types, 6 countries.
02
Use AI freely
Your teams keep using ChatGPT, Claude, Gemini or Copilot : on a pseudonymised version. Safe-Doc never sees the AI query.
03
Restore and audit
Local reinjection of original data into the result. Audit report on every operation. Zero storage on Safe-Doc's side.
Sources
  • 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