AI-Powered File Semantic Analysis for Data Security

1 post · Jun 2026

What this trail covers

Uber has developed an AI-powered File Semantic Analyzer (FSA) to enhance data security by semantically classifying files and identifying sensitive content. This system moves beyond traditional DLP methods by using Generative AI to understand the meaning and context of file contents, enabling more accurate identification of business-critical, personal, or neutral data. The FSA extracts summaries, entities, and infers intent, feeding into a policy enforcement layer. It incorporates human-in-the-loop validation and continuous learning to refine its accuracy and relevance.

All Uber trails

Jun 2026Building a File Semantic Analyzer: Guarding Outbound Data at Scale with AIThis post details the engineering journey of Uber's File Semantic Analyzer (FSA), an AI-powered system for classifying outbound data. It elaborates on the problem of traditional DLP systems' limitations, the solution leveraging Generative AI for semantic understanding, and the engineering steps involved: data labeling, pre-processing (content extraction, OCR, intelligent chunking), the GenAI interpretation engine (summarization, entity extraction, intent inference, explainability), and the classification/policy enforcement layer. The architecture is described, highlighting the File Connector, File Processing, Prompt Building, Decision engine, and Manual Review components. Risks such as LLM hallucinations and context loss are addressed through explanations, intelligent chunking, and human-in-the-loop validation. The impact includes accelerated incident response times and significant time savings for security analysts.
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