Lesson 200 of 1550
AI Vendor Due Diligence: The Questions That Reveal Real Safety Practice
Most AI vendor security questionnaires miss the AI-specific risks. Here's the question set that surfaces vendors with real safety practice from those with marketing veneer.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2vendor due diligence
- 3third-party AI risk
- 4model attestation
Concept cluster
Terms to connect while reading
Section 1
The premise
AI vendor risk is its own category; standard security questionnaires don't surface it.
What AI does well here
- Ask about training data provenance and any sensitive data exclusions
- Probe model attestation practices (model card, data sheet, evaluation results)
- Investigate incident response and disclosure practices for AI-specific failures
- Verify data handling — whether your data trains future models, retention windows, deletion rights
What AI cannot do
- Substitute for technical evaluation by ML-aware security engineers
- Replace contract terms that codify the answers
- Audit practices the vendor refuses to discuss
Key terms in this lesson
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