Source
Offering Zero Data Retention for frontier models
OpenAI is previewing Private Safety Processing to identify safety risks across multiple interactions while maintaining Zero Data Retention. This allows automated systems to detect misuse patterns without giving OpenAI personnel access to customer content.
Why it matters
Companies handling sensitive data can use advanced AI safety monitoring without violating security obligations or compromising privacy by allowing data retention.
The details
- Private Safety Processing detects risk patterns across related interactions using automated systems.
- Customer content remains encrypted with customer-controlled keys or on customer infrastructure.
- Rollout and a technical white paper are planned for September.
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Key connections
Sunil Agrawal works at Glean
Sunil Agrawal serves as Chief Information Security Officer at Glean.
Glean builds enterprise AI solutions with OpenAI and participates in early safeguard testing.
Private Safety Processing is related to Zero Data Retention
Private Safety Processing is designed to remain compatible with Zero Data Retention deployments.
Private Safety Processing uses Encryption
Private Safety Processing uses customer-controlled encryption keys for stored content.
OpenAI owns Private Safety Processing
OpenAI developed and previewed Private Safety Processing.
Related events
OpenAI Previews Private Safety Processing for Zero Data Retention Deployments
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