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zero data retention (ZDR)

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An agreement in which the AI provider does not store your question and the answer after processing, handling them only for the duration of the response.

In plain terms

When you send a question to an AI service, your text goes to the provider's server. By default, it remains there temporarily as a log, mainly to detect abuse. This lasts from a few days to roughly a month, depending on the provider. With zero data retention, this storage is omitted: the system processes the request, returns the answer, and does not preserve the content.

It is like an interpreter who hears and translates everything at a negotiation but takes no notes and makes no recording. They complete the work, but afterward there is no notebook that anyone could steal or request from them.

It is useful because what is not stored cannot later leak, cannot be reviewed later by the provider's staff, and cannot be handed over upon official request. This is why banks, hospitals, law firms, and administrative bodies primarily request it. It does not offer a full guarantee: the contract may contain exceptions, for instance in cases of suspected abuse or legal obligation.

It is not the same as the promise that your data will not be used to train a model. That only excludes one method of use, whereas zero data retention concerns the storage itself.

How it works

  1. The company specifies in the contract with the provider that zero data retention applies to the account. This is typically requested for business use via a programmatic interface (API), requiring special approval.
  2. The request arrives via an encrypted channel, the model processes it in server memory, and prepares the response.
  3. After the response is sent back, the text of the request and the response is not stored in a permanent log or database. At most, technical data remain, such as the timestamp and the amount used for billing.
  4. Since there is no stored history, the client's own system must preserve the previous conversation and resend it every time. Convenience features based on storage are then partially or entirely unusable.
  5. Compliance is mandated by the contract binding the provider, supported by internal rules and independent audits. You cannot verify this directly from the outside.

An everyday example

A private clinic has an AI generate a summary from medical reports. Before implementation, the data protection officer asks the provider what happens to patient data and signs only a contract that includes zero data retention. Thus, the text of the report does not remain on the provider's servers after the response is generated.

Who is affected

entrepreneur, executiveIf you entrust business secrets or customer data to AI, the data retention clause in the contract determines the risk you take.
developerIf you build an AI agent or coding agent, you must handle the storage of conversation history yourself and know which functions do not work without storage. → Code
patient, doctorHealth data is particularly sensitive, so it matters greatly whether a copy remains with the AI service provider. → Health
lawyer, citizenThe principle of zero data retention implements two core GDPR principles, data minimization and storage limitation, in one of the strictest ways in practice. → Law

A common misconception

MythWith zero data retention, my data never reaches the provider, so I can enter anything without worry.
In realityThe data still goes to the provider's server and is processed there; it is just not stored afterward. The risk in transmission and processing remains, and the no-storage promise does not cover copies on your side either.

Limits and risks

Similar, but not the same

Related concepts

Broader

data protection, data security, data processing, AI governance

Narrower

data retention period, abuse monitoring log

On the edge

data efficiency, GDPR, helyben futtatott modell, data sovereignty, confidential computing

A brief history

The principle is based on an old data protection concept: the EU's General Data Protection Regulation (GDPR), applicable since 2018, stipulates that personal data may only be stored for as long as necessary. The term 'zero data retention' itself became a standard contractual term for AI providers around 2023 with the business spread of large language models.

Where things stand

As of late 2026, in major AI providers' business API offerings this is typically available on request, but usually subject to separate approval and not covering all features. It is a common procurement requirement in regulated sectors. It is not the default in consumer products, and its exact scope varies by provider.

Status: 2026 November

In the news

Appears in 1 Agent Age stories; the curve shows weekly occurrence in the news magazine.

Also known as

ZDR · zero data retention · zero data retention · zero data retention · zero retention · mode without data retention · zero-retention API · no data retention

This entry was machine-edited and has undergone machine expert review; the “In the news” section updates automatically from Agent Age stories.