Offering Zero Data Retention for frontier models
Summary
OpenAI is introducing Private Safety Processing, a system designed to detect harmful patterns across multiple interactions with AI models while keeping customer data private. Unlike traditional safety systems that review individual interactions separately, this new approach uses automated pattern detection across related interactions without giving OpenAI staff access to the actual prompts or responses. For customers using Zero Data Retention (a policy where OpenAI doesn't keep user data after processing), content can stay on the customer's own systems or be stored on OpenAI's servers encrypted with keys only the customer controls.
Solution / Mitigation
OpenAI is developing Private Safety Processing, which the source describes as using automated systems to identify patterns across related interactions without exposing underlying prompts or responses to OpenAI personnel. For Zero Data Retention deployments, customer content can remain on infrastructure the customer controls, or OpenAI is developing an option where content is stored on OpenAI infrastructure but encrypted with keys controlled by the customer. When risks are identified, OpenAI personnel receive only narrowly defined safety signals rather than access to the actual customer content. The source states: 'Private Safety Processing is currently being tested with early customers.'
Classification
Affected Vendors
Related Issues
Original source: https://openai.com/index/offering-zero-data-retention-for-frontier-models
First tracked: August 19, 2026 at 08:01 PM
Classified by LLM (prompt v3) · confidence: 92%