OpenAI previews privacy-focused system for detecting AI misuse
OpenAI previews Private Safety Processing, detecting cross-interaction AI misuse without exposing customer prompt content, rolling out in September.
OpenAI previewed Private Safety Processing for API and enterprise customers, a system that analyzes patterns across related interactions to flag potential misuse while restricting OpenAI personnel from accessing underlying content. It builds on Zero Data Retention (ZDR) deployments, keeping content on customer-controlled infrastructure or a planned option using customer-controlled encryption keys, with prompts and responses not retained after processing. A technical white paper and rollout are planned for September; images flagged as potential CSAM are the retention exception.
- Analyzes patterns across related interactions, unlike per-request safeguards
- Works with ZDR: prompts and responses not retained after processing
- Customer-controlled encryption keys storage option in development
- Technical white paper and rollout planned for September
- Customers can investigate alerts and appeal enforcement decisions
- Vendors
- OpenAI
- Products
- Private Safety Processing
- Organizations
- Abridge
From the original article
2 min read at helpnetsecurity.com
OpenAI is previewing Private Safety Processing with early customers seeking greater certainty about how their data will be protected as AI systems become more capable. The system identifies patterns across related interactions while restricting OpenAI personnel from accessing the underlying content. The company plans to start rolling it out and publish a technical white paper in September.
By @helpnetsecurity · helpnetsecurity.com
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