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Endigest AI Core Summary
Databricks introduces LogSentinel, an LLM-powered internal system for continuous PII detection and data governance across evolving schemas.
•The system ingests table metadata and column samples, augments them with AI-generated comments and vector search-retrieved few-shot examples, then routes them through multiple LLMs for classification.
•A tiered labeling system predicts three label types per column: granular (100+ fine-grained options), hierarchical (broader categories), and residency (data movement policies).
•A Mixture-of-Experts approach runs multiple model configurations in parallel, each producing a label and confidence score, with the highest-confidence prediction selected as the final label.
•The pipeline continuously compares schema annotations against LLM predictions and auto-files JIRA tickets when drift or violations are detected.
•On 2,258 labeled samples, the system achieved up to 92% precision and 95% recall for PII detection, reducing manual audit cycles from we
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Databricks
Google Cloud