Wiz Data Foundations: Data Classification

This blog post explains Wiz’s approach to data classification in cloud-native environments, highlighting built-in, custom, and AI-driven Novel Classifiers that adapt to organization-specific definitions of sensitive data. It describes tiered methods (metadata-only, sparse sampling, full content scanning), a pipeline of discovery, analysis, enrichment, and precision controls with confidence scoring and human validation, and how results are operationalized through views, labels, ignore rules, and continuous learning to deliver scalable, context-aware, and adaptable protection.