---
title: "Data Classification"
description: "2 posts about Data Classification, summarised, each linking to the original."
---

# Data Classification
> 2 posts about Data Classification, summarised, each linking to the original.

## Articles

### [Building a File Semantic Analyzer: Guarding Outbound Data at Scale with AI](https://yomu.fyi/post/building-a-file-semantic-analyzer-guarding-outbound-data-at-scale-with.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 4, 2026
- Type: Problem & solution

Organizations struggled to determine whether files leaving their environment contained business-critical information, personal data, or non-essential content. Uber’s File Semantic Analyzer (FSA) addresses the limits of keyword- and pattern-based DLP by extracting text from documents, using OCR for image-based files, chunking large inputs, and sending context-rich text to a fine-tuned large language model. The model produces summaries, named entities, key phrases, inferred intent, classifications, and explanations, which a rule-based engine uses for policy enforcement while analysts validate high-fidelity findings and provide feedback. The system reduced incident-response time from multiple hours to a few minutes per case, saves an average of five minutes per file, and is expected to analyze 150,000 files annually; the post reports a 97% reduction in false positives.


### [ABAC row filtering and column masking policies, governed tags, and data classification are now generally available in Unity Catalog](https://yomu.fyi/post/abac-row-filtering-and-column-masking-policies-governed-tags-and-data.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Adriana Ispas, Kristen Wilder, Jacqueline Li, Corey Sunwold, Menglei Sun, Viswesh Periyasamy
- Published: May 13, 2026
- Type: Announcement

Unity Catalog now generally offers three complementary data-governance capabilities: Attribute-Based Access Control (ABAC) policies for row filtering and column masking, Governed Tags, and agentic Data Classification. They address per-object access rules, coordination gaps, and manual detection by letting governance teams define tag-based policies once, automatically classify sensitive data, and protect matching objects across catalogs and schemas. Governed tags provide an account-level vocabulary inherited across catalogs, schemas, tables, and columns, while ABAC applies row filters and column masks using tag-based conditions. Classification uses built-in compliance classifiers, custom classifiers, metadata, pattern recognition, and large language models, with human-in-the-loop validation and false-positive exclusions. General availability adds 10x larger policy limits, support for 10,000+ policies per metastore, lifecycle management through SQL, APIs, UI, and Terraform, expanded compliance coverage, and custom classifiers in beta.