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Qohash Recon is a commercial Data Classification tool developed by Qohash. Security professionals most commonly compare it with PII Crawler PII Scanner, Kriptos AI-Driven Data Classification. 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 Qohash Recon, 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
API-based data classification service for identifying sensitive data types
Agentless data discovery & classification platform for PII, PHI, and PCI.
Code-scanning tool for data discovery, classification & privacy risk detection.
On-premises tool for discovering, analyzing, and remediating PII/PCI/PHI data
Automates discovery and protection of PII across enterprise data sources.
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
API-based data classification service for identifying sensitive data types
Agentless data discovery & classification platform for PII, PHI, and PCI.
Code-scanning tool for data discovery, classification & privacy risk detection.
On-premises tool for discovering, analyzing, and remediating PII/PCI/PHI data
Automates discovery and protection of PII across enterprise data sources.
Automated sensitive data discovery and classification for compliance.
AI-powered platform for sensitive data discovery, classification & governance.
AI-driven data discovery & classification using unsupervised learning.
AI-based data discovery & classification platform for cloud environments
AI-powered data classification linking identity, content, and context
Discovers and classifies sensitive data across enterprise environments
Data discovery software for indexing structured & unstructured data at scale
Locates and manages sensitive data across endpoints for compliance and privacy.
AI platform for data classification, security labeling, and risk management
Data classification and protection solution for Microsoft environments
AI-driven data classification software for automated document labeling
Automated data discovery & classification for sensitive data across on-prem & cloud
ML-powered data discovery tool for identifying and classifying sensitive data
Information Rights Management solution for document classification & protection
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.
Data-centric audit and protection platform with file lifecycle tracking
On-premises data discovery, classification, and monitoring with AI detection
Metadata registry for dynamic data access policies across platforms
Storage analysis and optimization tool for unstructured data management
Data lineage technology for classifying and tracking sensitive data movement
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 Qohash Recon.
The most popular alternatives to Qohash Recon include PII Crawler PII Scanner, Kriptos AI-Driven Data Classification, ZeroThreat Sensitive Data Detection, Teleskope Data Classification as a Service, and DataStealth Data Security Platform. These Data Classification tools offer similar capabilities and are frequently compared by security professionals evaluating their options.
