AI Glossary Term

What does “Zero Data Retention” mean?

Definition

A policy where request/response payloads are not stored after processing beyond short-lived operational windows.

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How Zero Data Retention works

Example

A law firm uses an AI service under a zero-data-retention agreement so client documents are processed to produce a reply but are not kept afterward, apart from short operational handling the provider describes.

Why it matters

It limits the risk of data leaks or reuse. Terms differ, so check what the provider actually promises.

Common questions

Is anything ever stored?

Providers may keep short-lived data for security or abuse checks, and terms vary, so read the details.

Does it stop training on my data?

Data that is not retained cannot be reused later, but confirm the training policy in the provider's terms.

Is it available by default?

Often it requires an enterprise agreement or special setting.

Sparse ModelA model where many parameters are zero or inactive to reduce computation.Algorithmic TransparencyHow clearly an AI system's logic, data sources, and limitations are documented and understandable.Big DataVery large and complex datasets that require scalable storage and processing techniques.Convolutional Neural Network (CNN)A neural architecture optimized for processing grid-like data such as images.Inference-Time ComputeThe amount of processing power consumed while producing each response.Prompt InjectionAn attack pattern where malicious instructions are inserted into model inputs or retrieved content.

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