{"data":{"id":"ca9da008-298a-4235-849a-07366a53318e","title":"Offering Zero Data Retention for frontier models","summary":"OpenAI is introducing Private Safety Processing, a new system designed to monitor AI safety risks across multiple interactions without retaining or exposing customer data to OpenAI staff. For customers using Zero Data Retention (a privacy option where prompts and responses aren't kept after processing), this system uses automated detection to identify harmful patterns while keeping content either on the customer's own infrastructure or encrypted with customer-controlled keys on OpenAI servers.","solution":"OpenAI has developed Private Safety Processing as an explicit solution. Key features include: (1) automated systems identify patterns across related interactions without OpenAI personnel accessing underlying content, (2) customer content can remain on infrastructure the customer controls, or stored on OpenAI infrastructure encrypted with customer-controlled keys, (3) when risks are identified, OpenAI receives only narrowly defined safety signals rather than the full content, and (4) customers can investigate alerts using their own systems and voluntarily share information with OpenAI if they choose. The system is currently in preview testing with early customers.","labels":["privacy","safety"],"sourceUrl":"https://openai.com/index/our-commitment-to-zero-data-retention","publishedAt":"2026-08-19T19:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"news","affectedPackages":null,"affectedVendors":["OpenAI"],"affectedVendorsRaw":["OpenAI"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-08-19T19:00:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","safety"],"aiComponentTargeted":"inference","llmSpecific":true,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}