Data Classification Tools
Data classification tools that automatically identify, categorize, and label sensitive data for compliance and security purposes.
Browse 45 data classification tools
FEATURED
USE CASES
AI-based data discovery, classification & protection for unstructured data.
AI-driven data discovery & classification using unsupervised learning.
Code-scanning tool for data discovery, classification & privacy risk detection.
Discovers & classifies sensitive data across SaaS, endpoints, email & file shares.
Centralized data catalog for sensitive data discovery, classification & compliance.
AI-powered platform for sensitive data discovery, classification & governance.
Managed data security service powered by Microsoft Purview for data protection.
Automated sensitive data discovery and classification for compliance.
Agentless data discovery & classification platform for PII, PHI, and PCI.
Automated sensitive data classification across DBs, files, and streams.
Autonomously scans & classifies cloud files to enable data governance.
AI-driven M365 information mapping, classification & MIP label automation.
Classifies and controls sensitive data across local, cloud, and endpoint environments.
ABAC-powered data classification & protection for M365, SharePoint & file shares.
API-based data classification service for identifying sensitive data types
AI platform for data classification, security labeling, and risk management
Data classification tool that locates sensitive data-at-rest on endpoints
Automates discovery and protection of PII across enterprise data sources.
Locates and manages sensitive data across endpoints for compliance and privacy.
Scans networks and databases to identify cardholder data for PCI DSS compliance
Data discovery and classification platform for GDPR compliance and data protection
Data discovery software for indexing structured & unstructured data at scale
Information Rights Management solution for document classification & protection
Data Classification Tools FAQ
Common questions about Data Classification tools, selection guides, pricing, and comparisons.
Automated classification is essential at scale. Manual classification is unreliable (employees skip it or classify incorrectly) and cannot keep up with data growth. Automated tools scan content using pattern matching (credit card numbers, SSNs), NLP (understanding document context), and ML models trained on your specific data types. Use manual classification only for edge cases and to train automated systems.
