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Home / Glossary / Zero Data Exposure LLM Usage

What is Zero Data Exposure LLM Usage?

Zero Data Exposure LLM Usage refers to the use of external language models without sending raw sensitive data to the model provider. This is achieved by transforming, encapsulating, or reconstructing prompt context before transmission.

Related Glossaries

  • Release State Release State refers to an immutable and identifiable data state fixed for AI execution. The same release state should always point to the same condition, making it a stable reference for reproducibility and comparison.
  • AI safety AI safety focuses on ensuring that artificial intelligence systems operate reliably and do not pose unintended risks to humans. This includes preventing harmful behaviors, aligning AI goals with human values, and developing fail-safe mechanisms.
  • AI Data Governance Layer AI Data Governance Layer refers to the operating layer that applies rules, permissions, lineage, release control, and execution tracking to data used in AI workflows. It is less about storage administration and more about managing data as an execution-ready asset.
  • Real-time PII Filtering Real-time PII Filtering refers to the live detection and transformation of personally identifiable information before data is processed by an AI system or sent to an external model. It operates at runtime to reduce the risk of unintended exposure.
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