AI Privacy Risk Assessment
Score your organization's AI data exposure risk in 5 minutes. Answer 10 questions to identify vulnerabilities and get actionable recommendations.
Risk Assessment Questions
Answer honestly for an accurate risk score
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Do employees use ChatGPT, Claude, or other AI assistants for work?
AI tool usage is the primary vector for sensitive data exposure.
Is AI tool usage monitored or logged by IT/Security?
Without monitoring, you cannot detect or respond to data exposure.
Do employees paste customer data, code, or documents into AI tools?
Direct data entry is the highest-risk action in AI workflows.
Does your organization handle PHI (healthcare), PCI (payment), or other regulated data?
Regulated data has additional breach notification and penalty requirements.
Are there technical controls preventing sensitive data from reaching AI tools?
Technical controls are more reliable than policy-based approaches.
Do you have a formal AI usage policy that employees have acknowledged?
Policies create accountability but do not prevent accidental exposure.
Have AI vendors been vetted for security and data handling practices?
Vendor practices affect your data retention and training data exposure risk.
Is there an incident response plan specific to AI data exposure?
Quick response reduces the impact of exposure incidents.
Do you know which AI tools employees are using (sanctioned and shadow)?
Shadow AI creates blind spots in your security posture.
Have there been any known instances of sensitive data shared with AI tools?
Past incidents indicate ongoing risk if controls have not changed.
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