What Is AI Vendor Risk Assessment?
AI vendor risk assessment is the process of evaluating the risks associated with third-party AI tools, platforms, and services. It helps organizations understand the risks they're accepting when they use AI from external providers.
Most organizations use third-party AI tools — ChatGPT, Copilot, cloud AI services, embedded AI features. Each introduces risks that must be assessed and managed.
Why AI Vendor Risk Assessment Matters
You're Responsible
Using a vendor's AI doesn't transfer responsibility for outcomes. If a vendor's AI causes harm, you're still accountable to your customers and regulators.
Regulatory Requirements
The EU AI Act requires deployers (users) of AI systems to conduct due diligence on providers. Similar requirements exist in other frameworks.
Data Risks
Third-party AI often requires sending data to external systems. Understanding how that data is used, stored, and protected is essential.
Key Risk Areas
Data Privacy and Security
- What data does the AI access?
- Where is data processed and stored?
- How is data protected?
- Is data used for training?
- What happens to data after use?
AI Performance and Reliability
- What is the AI's accuracy and reliability?
- How does performance vary across use cases?
- What are known limitations?
- How is performance monitored?
Bias and Fairness
- Has bias testing been conducted?
- What groups might be affected?
- What bias mitigation is in place?
- How are bias incidents handled?
Compliance and Legal
- What regulations apply to this AI?
- Does the vendor support compliance requirements?
- What are contractual obligations?
- What indemnification is provided?
Operational Risks
- What is the vendor's track record?
- What is their financial stability?
- What happens if the vendor fails?
- What are SLA commitments?
Assessment Process
Step 1: Initial Screening
Basic due diligence before detailed assessment:
- Vendor reputation and history
- Basic security certifications
- Alignment with your use case
Step 2: Detailed Assessment
In-depth evaluation of risks:
- Complete vendor questionnaire
- Review documentation and policies
- Technical security assessment
- Legal and contractual review
Step 3: Risk Scoring
Quantify and classify risks:
- Score each risk area
- Calculate overall risk level
- Compare against risk tolerance
Step 4: Decision and Controls
Decide whether to proceed:
- Accept, mitigate, or reject
- Define required controls
- Document decision rationale
Step 5: Ongoing Monitoring
Continuous vendor oversight:
- Regular reassessment
- Performance monitoring
- Incident tracking
Next Steps
Build your AI tool inventory with our free Inventory Builder to identify vendors requiring assessment. The Documentation System includes vendor assessment templates and scorecards.