Find Out Where Shadow AI Is Already Operating
Most businesses have AI tools running somewhere they have not approved. Employees adopt AI chatbots, meeting assistants, and browser extensions to work faster, not to create risk, but that usage still needs to be found before it can be governed.
This checklist walks your team through a structured discovery process covering employee interviews, platform inventory, data exposure, meeting assistants, embedded software features, and technical log review. It ends with a risk scoring model and an action plan you can hand to leadership.
What Is Inside
- Who should be involved, from IT to legal to department managers
- An employee AI usage questionnaire covering 14 common scenarios
- An AI platform inventory covering 20 of the most common tools
- A data exposure review across 12 sensitive data types
- An AI meeting assistant audit
- A technical discovery checklist for DNS, firewall, CASB, and SSO logs
- A risk scoring model and a five-item action plan template
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