Data Classification Tools
Data classification tools that automatically identify, categorize, and label sensitive data for compliance and security purposes.
Browse 37 data classification tools
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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.
Automated sensitive data discovery and classification for compliance.
Agentless data discovery & classification platform for PII, PHI, and PCI.
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.
Data discovery software for indexing structured & unstructured data at scale
Information Rights Management solution for document classification & protection
Discovers and classifies sensitive data across enterprise environments
ML-powered data discovery tool for identifying and classifying sensitive data
Automated data discovery & classification for sensitive data across on-prem & cloud
On-premises data discovery, classification, and monitoring with AI detection
Sensitive data discovery tool for unstructured data in files and cloud storage
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.
