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What is 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.

Feature Engineering
Feature engineering is the process of selecting, transforming, and creating relevant data features to improve machine learning model performance. It involves techniques like normalization, encoding, and dimensionality reduction, essential for building accurate AI models.
Zero-access Data Processing
Zero-access Data Processing refers to the processing of data without directly exposing raw source records to downstream users, applications, or external model providers. It relies on controlled transformation, intermediate layers, or synthetic representations to preserve usability.
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.

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