Zero data retention
A provider arrangement limiting storage of eligible AI request content, subject to approval, feature coverage and documented exceptions. It does not remove records retained by the customer's own application.
- Scope
- Eligible products and features; contractual conditions apply
- Does not govern
- Customer application logs, exports and backups
Check the exact endpoint, optional feature and agreement before relying on a zero-retention claim. Legal, misuse-related and safety-related exceptions may apply according to the provider's documentation.
Connected
- AI data retentionThe rules governing which AI inputs, outputs, logs and derived records remain in a system, for what purpose, and for how long. Not using data for training does not mean that it is not stored.
- AI training-data consentWhether and how a company asks users before using their data to train or improve AI models; shaped by the FTC's 2024 warning on retroactive terms changes and GDPR's right to object.
Field notes that cover Zero data retention
More concepts & methods
- machine learningscientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions
- deep learningspecialized form of machine learning that uses artificial neural networks to identify patterns in data
- genetic algorithmcompetitive algorithm for searching a problem space
- Altitude, depth and rangeFelix Rieseberg’s framework for ambition with AI models: speed repeats work faster, altitude targets outcomes, depth uses expert instruments and range combines disciplines.
- Outcome-based promptingAsking an AI agent to pursue a specified change for a user or system, with evidence and boundaries, instead of merely producing a named deliverable.
- AI outside judgeAn acceptance check outside an agent’s self-assessment, such as a deterministic test, held-out evaluation, measurement or separately briefed reviewer.