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AI-SPECIFIC VENDOR DUE DILIGENCE

AI Security Questionnaire Software for Enterprise Vendor Reviews

AI-enabled products face questions that traditional security libraries often do not answer: model providers, customer-data training, prompt retention, human oversight, evaluation, subprocessors and AI governance. ProcureDeal grounds those answers in your own evidence.

Published by ProcureDeal Updated 15 September 2026 · Editorial policy · AI-use disclosure

AI questionnaire topics the software is designed to handle

Customer data & training

Whether prompts, outputs or customer content are used for model training or shared model improvement.

Model providers

Which third-party models or AI services are used, what data they receive and how changes are reviewed.

Retention & deletion

How long prompts, outputs and logs are retained and what deletion behavior is documented.

Security & access

Controls around AI configuration, API credentials, logging, monitoring and incident response.

Human oversight

Where people review, override, approve or investigate AI-generated behavior.

AI governance

Ownership, risk classification, evaluation, change review, limitations and escalation.

Why AI-specific evidence matters

A standard security policy may prove encryption or access control, but it may say nothing about customer-content training, model routing, prompt retention or AI evaluation. The buyer is asking about the actual AI-enabled product, so the evidence base has to include AI architecture and governance material as well as classic security documentation.

Start with the AI questionnaire readiness checklist and AI governance questionnaire guide.

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