AI vendor security review
Run an AI vendor security review that connects official source evidence, product scope, data categories, reviewers, and follow-up actions.
Review question
What should security review before an AI vendor touches customer data or appears in a Trust Center answer?
Scope for this review
Use this when your security reviewer needs a focused packet before approving a new AI provider, feature, or data path.
What it does
Name the exact AI vendor, product path, and customer data categories before review starts.
What it does
Attach official source links and source freshness status to security review evidence.
What it does
Route unresolved DPA, retention, logging, and subprocessor questions to the right reviewer.
Direct answer
When to use this packet
Start with product scope and source evidence, then check data use, retention, logging, security posture, DPA coverage, subprocessors, and reviewer decisions. Use this when the review needs to become a packet, not another loose checklist.
What the packet gives you
Use the free scanner to check scope. Buy the $199 one-time packet when you need the result ready for security, privacy, legal, or founder review.
- Packet section
- Security review scope
- How to use it
- Records vendor, product, data category, source coverage, and customer commitment context.
- Decision needed
- Confirm whether the AI vendor can move from review to approved use.
- Packet section
- Source and gap table
- How to use it
- Shows source links, freshness dates, failed checks, and unknown applicability questions.
- Decision needed
- Decide which gaps block approval and which can be tracked as follow-up.
- Packet section
- Stakeholder route
- How to use it
- Separates security, privacy, legal, and founder follow-up before external use.
- Decision needed
- Assign unresolved decisions before launch or questionnaire submission.
| Packet section | How to use it | Decision needed |
|---|---|---|
| Security review scope | Records vendor, product, data category, source coverage, and customer commitment context. | Confirm whether the AI vendor can move from review to approved use. |
| Source and gap table | Shows source links, freshness dates, failed checks, and unknown applicability questions. | Decide which gaps block approval and which can be tracked as follow-up. |
| Stakeholder route | Separates security, privacy, legal, and founder follow-up before external use. | Assign unresolved decisions before launch or questionnaire submission. |
Start the scanner with the right scope
A focused review should start with the vendors, data categories, and commitments most likely to matter. This page starts the scanner with a matching context, then lets the reviewer remove anything that does not apply.
- Review area
- Product and feature boundary
- Why it matters
- Security review breaks down when an API, cloud-hosted model, and workspace tool are treated as the same source path.
- Scanner action
- Use the preselected AI vendor set and remove vendors outside the feature path.
- Review area
- Customer data handling
- Why it matters
- Prompts, files, logs, embeddings, and support excerpts can create different evidence needs.
- Scanner action
- Preload customer content, personal data, and EU data context.
- Review area
- Approval handoff
- Why it matters
- Your security reviewer still needs a record of what was checked and what remains unresolved.
- Scanner action
- Generate the packet and route unresolved findings to reviewer follow-up.
| Review area | Why it matters | Scanner action |
|---|---|---|
| Product and feature boundary | Security review breaks down when an API, cloud-hosted model, and workspace tool are treated as the same source path. | Use the preselected AI vendor set and remove vendors outside the feature path. |
| Customer data handling | Prompts, files, logs, embeddings, and support excerpts can create different evidence needs. | Preload customer content, personal data, and EU data context. |
| Approval handoff | Your security reviewer still needs a record of what was checked and what remains unresolved. | Generate the packet and route unresolved findings to reviewer follow-up. |
Official source examples
Vendor facts must be checked against official vendor documentation before they appear in customer-facing answers.
Official-source review
Start with official sources. Keep the review in one packet.
For packet evidence, critical AI and SaaS vendor sources should show a recent reviewed date. Material vendor notices, Trust Center updates, DPA changes, subprocessor notices, and customer-reported changes should be checked before the packet is reused externally.
Freshness operating model reviewed: May 22, 2026
How sources are used
- Area
- AI provider security and data handling
- Official sources
- Data controls in the OpenAI platformIs my data used for model training?Data protection in Amazon Bedrock
- Packet use
- Use official data-handling sources to support security review questions without overextending them.
- Area
- Cloud AI service terms
- Official sources
- Data, privacy, and security for Models sold by Azure in Microsoft FoundryGoogle Cloud Vertex AI data governance
- Packet use
- Use cloud AI sources when the model runs through Azure or Google Cloud rather than direct API use.
- Area
- Security posture evidence
- Official sources
- AWS Cloud SecurityMicrosoft Trust Center
- Packet use
- Attach security posture sources as context, while keeping product-specific AI questions separate.
| Area | Official sources | Packet use |
|---|---|---|
| AI provider security and data handling | Data controls in the OpenAI platformIs my data used for model training?Data protection in Amazon Bedrock | Use official data-handling sources to support security review questions without overextending them. |
| Cloud AI service terms | Data, privacy, and security for Models sold by Azure in Microsoft FoundryGoogle Cloud Vertex AI data governance | Use cloud AI sources when the model runs through Azure or Google Cloud rather than direct API use. |
| Security posture evidence | AWS Cloud SecurityMicrosoft Trust Center | Attach security posture sources as context, while keeping product-specific AI questions separate. |
Last reviewed: May 22, 2026. AI Vendor Packet organizes official-source review evidence and suggested next steps. It does not provide legal advice.
Turn this question into a review packet.
Run the scanner with this context already selected, inspect the sample report, then buy the one-time packet when you need exportable evidence.