Offering Zero Data Retention for frontier models
Customer content is not available to OpenAI personnel for review1, and enterprise customer data is not used to train our models unless customers explicitly opt-in.As models take on longer, more complex tasks, some serious risks may only become visible across multiple interactions. Existing ZDR-compatible safety systems evaluate each interaction individually. Today, we’re previewing Private Safety Processing, which is designed to identify patterns across related interactions without giving OpenAI personnel access to the underlying content.For ZDR deployments, customer content remains on infrastructure the customer controls.
- ▪Customer content is not available to OpenAI personnel for review1, and enterprise customer data is not used to train our models unless customers explicitly opt-in.As models take on longer, more complex tasks, some serious risks may only bec
- ▪Existing ZDR-compatible safety systems evaluate each interaction individually.
- ▪Today, we’re previewing Private Safety Processing, which is designed to identify patterns across related interactions without giving OpenAI personnel access to the underlying content.For ZDR deployments, customer content remains on infrastr
OpenAI Blog files mainly under ai. We currently carry 15 of its stories.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | OpenAI News |
| Canonical URL | https://openai.com/index/our-commitment-to-zero-data-retention |
| Publication time | Wed, 19 Aug 2026 19:00:00 GMT |
| Retrieval time | 2026-08-19T19:13:08.302Z |
| Last seen | 2026-08-19T19:13:08.302Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
August 19, 2026CompanySafetyOffering Zero Data Retention for frontier modelsPreviewing Private Safety Processing, which strengthens safeguards across interactions while remaining compatible with ZDR.Loading…ShareWhy safety systems need to evolveWhy safety systems need to evolveHow Private Safety Processing worksPrivacy and safety built with and for our customersWhy safety systems need to evolveHow Private Safety Processing worksPrivacy and safety built with and for our customersZero Data Retention gives eligible API customers a clear promise: OpenAI does not retain their prompts or model responses after a request is processed.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at OpenAI News.
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