Operations
Vendor Risk Assessment
The process of evaluating an AI tool vendor's security, privacy, and compliance practices before approving the tool for use.
An AI vendor risk assessment evaluates a third-party AI tool across multiple dimensions to determine whether it meets an organization's security and compliance requirements. Key areas of assessment include:
- Data handling: Where is data stored? Is it used for model training? What's the retention policy?
- Security posture: SOC 2 compliance, encryption practices, access controls, incident response
- Privacy compliance: GDPR, CCPA, HIPAA adherence depending on data types processed
- Model governance: How does the vendor test for bias, accuracy, and safety?
- Subprocessor risk: What third-party services does the vendor rely on?
- Business continuity: What happens if the vendor's model changes, pricing shifts, or the service is discontinued?
Traditional vendor risk assessments don't cover AI-specific concerns like training data practices, model behavior changes, or embedded AI feature activation.
Why it matters
Employees don't wait for security reviews — they sign up for AI tools today. Automated vendor research that covers AI-specific risks can reduce review cycles from weeks to hours, letting security teams keep pace with adoption.