AI Vendor Review Policy
Generate an AI Vendor Review Policy covering diligence before onboarding an AI provider, data-retention and training-use terms, and the re-review cadence reviewers expect.
What's in the policy
Defines how AI vendors and subprocessors are assessed before they touch your data, and re-assessed after.
Tell us about your stack
Answer a short intake — cloud, data types, tools. No agents to install.
We generate a tailored draft
Not a blank template: a document written for your environment and pre-mapped to controls.
Review, edit, and share
Export it or attach it straight to an enterprise security review or questionnaire.
AI Vendor Review Policy, answered
What is the question this policy answers for a customer?
Whether their data reaches a model provider that retains or trains on it, and whether anyone checked before it did. That is the AI question on most vendor questionnaires now.
How does it relate to the Vendor Risk Management Policy?
It is the AI-specific extension of it. The general vendor policy covers diligence and tiering; this one adds the terms that only matter for model providers, like retention and training use.
How does Pentest Today generate the policy?
Answer a short intake about your stack and we generate a tailored draft — not a blank template — pre-mapped to the controls your framework requires. You review, edit, and export it.
Can I edit the generated policy?
Yes. Every document is a starting draft you can edit, brand, and export. It's written to be review-ready but stays fully under your control.
More from the policy library
Generate your full security policy pack.
Get the ai vendor review policy plus everything else an enterprise security review asks for — generated from your real environment.