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Why it matters now
- Vendor questionnaires ask which AI tools process client data — a policy alone fails if usage is invisible.
- ISO/IEC 42001 and the EU AI Act expect known systems, data flows, and oversight.
- One pasted spreadsheet into a public model can become a privacy incident faster than classic phishing.
Five-step discovery loop
- 1
List approved tools
What you bought, what is in SSO, and what contracts cover sub-processors.
- 2
Run a short staff survey
Anonymous if needed — you want honesty, not compliance theater.
- 3
Check browser extensions & SaaS AI toggles
Notion AI, CRM assistants, IDE plugins — often enabled without a ticket.
- 4
Score impact × oversight
High impact + no human review = fix in 30 days, not next year.
- 5
Publish allow / ask / block rules
One page employees can read; link from onboarding and internal comms.
What good governance looks like
You do not need to block every model. You need named owners, data rules, and evidence that decisions were recorded — the same spirit as ISO 42001 (management system, not a single PDF).
Use the Alice GRC Portal (also at ai-grc.app, 42001.ca, iso42001.co) to map uses and gaps in one pass. For hands-on programs see consulting (Canada / U.S.) and Israel delivery.
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content.layout.faqCountWhat is shadow AI?
Any AI tool employees use for work without IT or security approval — public chatbots, meeting summarizers, IDE plugins, or SaaS AI features turned on by default. The risk is data leaving your control without a DPA or owner.
Do we have to block ChatGPT?
Usually no. You need clear rules on data types, approved alternatives where needed, and a short survey so usage is visible. Block only where impact is high and you cannot add oversight.
How does this connect to ISO 42001?
ISO/IEC 42001 expects you to understand AI in the organization (context, lifecycle, monitoring). Shadow AI is the gap between policy and reality — closing it is core AIMS work, not a side project.
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