Zero Data Retention
A data processing model that commits to not persistently storing request and response content. It is typically used to satisfy scenarios with strict data privacy requirements, such as finance, healthcare and legal services.
Core Facts
Timeline (last 90 days)
The Decisions API supports Zero Data Retention, is HIPAA eligible, and offers US/EU data residency options.
ZDR requires that data be securely wiped after processing in memory, and ensures that no recoverable data fragments remain in temporary caches, log pipelines, or monitoring systems.
Zero data retention is a data processing policy in which the service provider does not retain any input or output data on its servers after completing a user's request.
ZDR requires that data be securely erased after processing in memory, with no recoverable data fragments remaining in temporary caches, log pipelines, or monitoring systems.
Zero data retention is a critical threshold for adopting large model services in highly regulated industries such as finance, healthcare, and law, involving regulatory frameworks such as SEC, PCI-DSS, and HIPAA.
Zero data retention means that after completing a user's request, the service provider does not retain any input or output data on its servers, nor uses it for subsequent training.
There is a tension between ZDR and model improvement, as large model vendors typically rely on user interaction data for RLHF and model fine-tuning.
Zero Data Retention means that after completing a user's request, the service provider does not retain any input or output data on its servers.
OpenAI stated it will continue to offer a Zero Data Retention (ZDR) option for frontier models.
All Facts (9)
Zero Data Retention means that after completing a user's request, the service provider does not retain any input or output data on its servers.
75%UnverifiedThe Decisions API supports Zero Data Retention, is HIPAA eligible, and offers US/EU data residency options.
50%UnverifiedZDR requires that data be securely wiped after processing in memory, and ensures that no recoverable data fragments remain in temporary caches, log pipelines, or monitoring systems.
50%UnverifiedZero data retention is a data processing policy in which the service provider does not retain any input or output data on its servers after completing a user's request.
50%UnverifiedZDR requires that data be securely erased after processing in memory, with no recoverable data fragments remaining in temporary caches, log pipelines, or monitoring systems.
50%UnverifiedZero data retention is a critical threshold for adopting large model services in highly regulated industries such as finance, healthcare, and law, involving regulatory frameworks such as SEC, PCI-DSS, and HIPAA.
50%UnverifiedZero data retention means that after completing a user's request, the service provider does not retain any input or output data on its servers, nor uses it for subsequent training.
50%UnverifiedThere is a tension between ZDR and model improvement, as large model vendors typically rely on user interaction data for RLHF and model fine-tuning.
50%UnverifiedOpenAI stated it will continue to offer a Zero Data Retention (ZDR) option for frontier models.
50%