Shadow AI: how to detect and govern undeclared AI use in your organization

Shadow AI: how to detect and govern undeclared AI use in your organization

In brief

  • 'Shadow AI' refers to the uncontrolled use of AI tools by employees, presenting major risks for compliance and security (GDPR, trade secrets, cyber). The best prevention: offer useful official tools, a clear charter and training, rather than a ban without alternatives.

How to detect it

  • Map actual usage (anonymous internal survey, business interviews).
  • Analyse network logs and access to known AI services.
  • List AI modules already integrated into existing software.
  • Listen to business units: Shadow AI often stems from an unmet need.

5-step remediation plan

  1. Acknowledge the need: offer official, controlled alternatives.
  2. Publish an AI charter and a list of authorised tools.
  3. Train teams in compliant use (Art. 4 AI Act).
  4. Record approved AI systems in the register and carry out the necessary DPIAs.
  5. Implement ongoing governance (AI officer, periodic review).

The right approach

Banning without alternatives drives Shadow AI. The best prevention is to offer useful official tools, supported by a charter and training.

Take action

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Frequently asked questions

What is Shadow AI?

It is the use of artificial intelligence tools by employees without the organisation's validation or oversight, outside any register, charter or risk assessment.

Why is Shadow AI dangerous?

It exposes confidential data to uncontrolled services, creates non-compliant processing (without DPIA or supervision) and broadens the attack surface, with GDPR, trade secret and cybersecurity risks.

How can it be reduced sustainably?

By combining an offering of useful official tools, a clear charter, training and ongoing governance. Banning alone, without alternatives, is counterproductive.