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What is Synthetic Data Governance?

Synthetic Data Governance refers to the policies and operational controls used to manage how synthetic data is generated, validated, versioned, distributed, and used. Its purpose is to maintain quality, traceability, and consistency in synthetic-first environments.

LLM Audit Trail
LLM Audit Trail refers to the record of how an LLM interaction was executed across prompts, transformations, policies, endpoints, and runtime conditions. It makes it possible to review what was used, how it was processed, and under which conditions it ran.
Personal data
Personal data refers to any information that can directly or indirectly identify an individual, such as names, email addresses, biometric data, and financial records. Privacy laws like GDPR and CCPA regulate how organizations collect, store, and process personal data to ensure security and user control.
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.

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