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MIND Data Discovery is a commercial Data Classification tool developed by MIND. Security professionals most commonly compare it with Microsoft Purview Information Protection. 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 MIND Data Discovery, including their key features and shared capabilities.
Data classification and protection solution for Microsoft environments
AI-based data discovery & classification platform for cloud environments
Automated data discovery & classification for sensitive data across on-prem & cloud
AI platform for data classification, security labeling, and risk management
Classifies and controls sensitive data across local, cloud, and endpoint environments.
Code-scanning tool for data discovery, classification & privacy risk detection.
AI-driven data discovery & classification using unsupervised learning.
AI-based data discovery, classification & protection for unstructured data.
Data classification and protection solution for Microsoft environments
AI-based data discovery & classification platform for cloud environments
Automated data discovery & classification for sensitive data across on-prem & cloud
AI platform for data classification, security labeling, and risk management
Classifies and controls sensitive data across local, cloud, and endpoint environments.
Code-scanning tool for data discovery, classification & privacy risk detection.
AI-driven data discovery & classification using unsupervised learning.
AI-based data discovery, classification & protection for unstructured data.
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-driven data classification software for automated document labeling
Sensitive data discovery tool for unstructured data in files and cloud storage
Discovers and classifies sensitive data across enterprise environments
Data discovery software for indexing structured & unstructured data at scale
Automates discovery and protection of PII across enterprise data sources.
API-based data classification service for identifying sensitive data types
AI-driven M365 information mapping, classification & MIP label automation.
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.
Centralized data catalog for sensitive data discovery, classification & compliance.
On-premises tool for discovering, analyzing, and remediating PII/PCI/PHI data
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
On-premises data discovery, classification, and monitoring with AI detection
ABAC-powered data classification & protection for M365, SharePoint & file shares.
AI-powered data classification linking identity, content, and context
ML-powered data discovery tool for identifying and classifying sensitive data
Information Rights Management solution for document classification & protection
Locates and manages sensitive data across endpoints for compliance and privacy.
Data classification tool that locates sensitive data-at-rest on endpoints
A tool for securely backing up and versioning production secrets or shared passwords
Common questions security professionals ask when evaluating alternatives and competitors to MIND Data Discovery.
The most popular alternatives to MIND Data Discovery include Microsoft Purview Information Protection, Sentra Accurate Data Discovery & Classification, SecurEnvoy Data Discovery Platform, Castlepoint Cyber Security, and Arexdata Data Classification. These Data Classification tools offer similar capabilities and are frequently compared by security professionals evaluating their options.
