Insight · AI governance

Shadow AI: how to govern staff use of public AI tools without blocking productivity

If your organisation has not approved any AI tools, your people are probably using them anyway. Banning them rarely works. Governing them does.

Published 5 October 20266 minute read

Abstract artwork for the article: Shadow AI policy

What shadow AI is

Shadow AI is the use of AI tools without the organisation's knowledge or approval: pasting a contract into a public chatbot, summarising customer emails with a browser extension, or uploading a spreadsheet to an AI analysis site. The intent is usually good. The risk is that confidential or personal information leaves your control.

Find it

  • Ask. An anonymous survey of AI use is often the most revealing step.
  • Review network and identity logs for AI services.
  • Check browser extensions and third-party app consents.

Write a policy people will follow

  1. Classify information. State plainly which kinds of information may never go into external AI tools.
  2. Approve tools. List the AI tools that are approved, for which uses and with which settings.
  3. Require verification. People remain responsible for checking AI outputs.
  4. Disclose where it matters. Say when AI use must be disclosed to customers or colleagues.
  5. Provide a request path for new tools, with a fast answer.

Give people a better option

The most effective control is an approved tool that is genuinely useful, such as an enterprise AI service with no-training terms or a private assistant over internal knowledge. People choose the safe path when it is also the easy one.

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FAQ

Quick answers

Anything else? Email contact@sovereignsystemslabs.com.

Should we ban public AI tools?

Bans rarely work on their own. Combine clear rules on sensitive information with approved, useful alternatives.

What should an AI acceptable use policy include?

Information classification, approved tools, verification responsibilities, disclosure rules and a request process.

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