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Protegrity Data Discovery is a commercial Data Classification tool developed by Protegrity. Security professionals most commonly compare it with PII Crawler PII Scanner. All 36 alternatives are matched by shared capabilities, tags, and NIST CSF 2.0 coverage.
A closer look at the 8 most relevant alternatives and competitors to Protegrity Data Discovery, including their key features and shared capabilities.
Scans files and databases for unencrypted PII like SSN, names, and addresses
AI-driven data classification platform for automated discovery & labeling
Detects sensitive data (PII, PHI, PCI) across application stacks
AI-powered data classification linking identity, content, and context
Sensitive data discovery tool for unstructured data in files and cloud storage
Locates and manages sensitive data across endpoints for compliance and privacy.
Automates discovery and protection of PII across enterprise data sources.
API-based data classification service for identifying sensitive data types
Scans files and databases for unencrypted PII like SSN, names, and addresses
AI-driven data classification platform for automated discovery & labeling
Detects sensitive data (PII, PHI, PCI) across application stacks
AI-powered data classification linking identity, content, and context
Sensitive data discovery tool for unstructured data in files and cloud storage
Locates and manages sensitive data across endpoints for compliance and privacy.
Automates discovery and protection of PII across enterprise data sources.
API-based data classification service for identifying sensitive data types
Agentless data discovery & classification platform for PII, PHI, and PCI.
Automated sensitive data discovery and classification for compliance.
AI-powered platform for sensitive data discovery, classification & governance.
Code-scanning tool for data discovery, classification & privacy risk detection.
AI-driven data discovery & classification using unsupervised learning.
On-premises tool for discovering, analyzing, and remediating PII/PCI/PHI data
Data classification and protection solution for Microsoft environments
AI-driven data classification software for automated document labeling
Metadata registry for dynamic data access policies across platforms
Storage analysis and optimization tool for unstructured data management
Data-centric audit and protection platform with file lifecycle tracking
Data lineage technology for classifying and tracking sensitive data movement
AI-based data discovery & classification platform for cloud environments
On-premises data discovery, classification, and monitoring with AI detection
Automated data discovery & classification for sensitive data across on-prem & cloud
Discovers and classifies sensitive data across enterprise environments
Information Rights Management solution for document classification & protection
Data discovery software for indexing structured & unstructured data at scale
Data classification tool that locates sensitive data-at-rest on endpoints
AI platform for data classification, security labeling, and risk management
ABAC-powered data classification & protection for M365, SharePoint & file shares.
Classifies and controls sensitive data across local, cloud, and endpoint environments.
AI-driven M365 information mapping, classification & MIP label automation.
Centralized data catalog for sensitive data discovery, classification & compliance.
Discovers & classifies sensitive data across SaaS, endpoints, email & file shares.
AI-based data discovery, classification & protection for unstructured data.
A tool for securely backing up and versioning production secrets or shared passwords
Common questions security professionals ask when evaluating alternatives and competitors to Protegrity Data Discovery.
The most popular alternatives to Protegrity Data Discovery include PII Crawler PII Scanner, Kriptos AI-Driven Data Classification, ZeroThreat Sensitive Data Detection, Lightbeam Data Classification, and Qohash Recon. These Data Classification tools offer similar capabilities and are frequently compared by security professionals evaluating their options.
