LLM API Data Retention: What AI Teams Should Decide Before Launch
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AI Data RetentionLLM PrivacyComplianceAI Logs
AI systems create data: prompts, responses, metadata, embeddings, files, and logs. Retention policies decide how long that data is kept and who can access it.
Data categories
Define retention for:
- prompt content
- response content
- request metadata
- uploaded files
- embeddings
- evaluation examples
- audit logs
Balance debugging and privacy
Long retention helps debugging. Short retention reduces risk. Many teams keep metadata longer than raw prompt content.
Customer controls
Enterprise customers may need deletion, export, or retention configuration.
Final thoughts
Data retention should be designed before launch. Separate metadata from content and document policies clearly.