Indexable issue pageLast reviewed 2026-05-21High priority

OpenAI data use review for SaaS customer commitments

For SaaS teams using the OpenAI API, the data-use question should start with OpenAI's platform data controls, not a general product page. OpenAI's public source says how API business data is handled by default and when settings or product scope may change the answer. Treat every customer statement as product-specific.

Scan OpenAI data-use commitments View OpenAI profile

Vendor

OpenAI

Issue

data use

Sources reviewed

3 official sources

Product and plan applicability

Scope: OpenAI API Platform
Applies to: Customer-facing product features that send prompts, outputs, files, or fine-tuning data to the API.
Watch for: Model training setting, abuse monitoring setting, retention setting, organization controls, and whether files or fine-tuning data are involved.

Scope: ChatGPT business workspace
Applies to: Internal employee use in Team, Enterprise, or Edu workspaces.
Watch for: Workspace terms, connectors, file handling, and admin settings instead of API-only evidence.

Scope: Consumer or unmanaged use
Applies to: Employee-owned accounts or customer-owned OpenAI accounts.
Watch for: Do not use API commitments for unmanaged use unless the customer data path is actually the API.

Scope	Applies to	Watch for
OpenAI API Platform	Customer-facing product features that send prompts, outputs, files, or fine-tuning data to the API.	Model training setting, abuse monitoring setting, retention setting, organization controls, and whether files or fine-tuning data are involved.
ChatGPT business workspace	Internal employee use in Team, Enterprise, or Edu workspaces.	Workspace terms, connectors, file handling, and admin settings instead of API-only evidence.
Consumer or unmanaged use	Employee-owned accounts or customer-owned OpenAI accounts.	Do not use API commitments for unmanaged use unless the customer data path is actually the API.

What official sources say

Start with the platform data controls source

OpenAI's platform source is the right evidence for API business data, data controls, model training settings, and retention options. It should be reviewed before answering customer questionnaires about prompt or output use.

Data controls in the OpenAI platform

Pair data-use answers with the DPA

Data-use commitments often sit next to processor, subprocessor, and international transfer statements. The OpenAI DPA is the source to review before copying language into a customer DPA exhibit.

OpenAI Data Processing Addendum OpenAI subprocessors

Why a SaaS team should review it

A Trust Center statement that says customer data is not used for training may be accurate for one OpenAI product path and wrong for another.
Customer questionnaires often ask one broad AI question, but the answer depends on API use, ChatGPT workspace use, or unmanaged accounts.
Cited answers reduce the risk of stale vendor review evidence during SOC 2 or enterprise sales review.

Potential customer commitment drift

Your public AI data-use statement names OpenAI but does not say whether it means API Platform, ChatGPT Enterprise, or another product.
A customer DPA exhibit lists OpenAI as a subprocessor but the subprocessor review date is older than the latest source review.
Your product stores prompts or outputs in your own logs after OpenAI processing, but customer language only discusses OpenAI retention.

Review checklist

List every OpenAI product and organization used by the team.
Identify which customer data types are sent: prompts, outputs, files, embeddings, fine-tuning data, or metadata.
Attach the platform data controls source to any model training answer.
Review the DPA and subprocessor source before updating customer-facing vendor lists.
Add a review date and owner note to the customer commitment record.

Source links

Sources were reviewed on 2026-05-21. This page supports a review packet or monitoring evidence packet; it is not legal advice.

Data controls in the OpenAI platformhttps://platform.openai.com/docs/guides/your-dataOfficial source OpenAI Data Processing Addendumhttps://openai.com/policies/data-processing-addendum/Official source OpenAI subprocessorshttps://platform.openai.com/subprocessorsOfficial source

OpenAI vendor profileReview all monitored source areas for this vendor.OpenAI data retention review for SaaS customer commitmentsOpenAI retention commitments should be written narrowly. The API platform source explains available data controls and retention behavior for that product path, while the DPA covers contractual processing terms. A SaaS team should also review its own logs, traces, and application databases before promising a retention period.

Scan OpenAI against your own commitments.

Use this page as a starting point, then compare the vendor source to the exact promise in your Trust Center, DPA, security questionnaire, or sales answer. The $199 packet turns that review into cited evidence your team can route internally.

Scan OpenAI data-use commitments See the $199 packet