Offering Zero Data Retention for frontier models

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Offering Zero Data Retention for frontier models

AI security OpenAI

OpenAI is introducing Private Safety Processing to balance automated security monitoring with strict zero-data-retention promises.

What: OpenAI is previewing a feature that allows its safety systems to analyze patterns across user interactions without storing or retaining the underlying user data.

Why it matters: Enterprises are increasingly wary of training their data on public LLMs, forcing labs to engineer complex privacy architectures to maintain security oversight without infringing on customer data ownership.

Decoder

Zero data retention: A policy or technical architecture where an AI provider commits to not storing user inputs or outputs after a session concludes, typically used for compliance-heavy enterprise clients.

Original article

OpenAI is previewing Private Safety Processing so automated safeguards can identify patterns across related interactions while remaining compatible with zero-data-retention commitments.

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