Ground Labs Enterprise Recon vs Lepide Data Classification

Ground Labs Enterprise Recon discovers and manages sensitive data across structured and unstructured environments to support compliance and data security. It scans on-premises platforms, databases, email, archive storage, cloud services, endpoints, and file servers. Ground Labs says the product includes more than 300 preconfigured personal data types and allows custom patterns. Remediation options include redaction, secure erasure, quarantine, and encryption. Enterprise Recon integrates with Microsoft Purview for persistent classification metadata and provides ODBC integration with compatible applications and business intelligence platforms for analytics. Its PII and PRO editions include a RESTful API for reports, match-location data, remediation actions, and workflow automation. Documented security controls include two-factor authentication, password policies, user roles and permissions, and IP address access controls. Local agent operating systems include Windows, Linux, macOS, FreeBSD, AIX, and Solaris. The product lists requirements including PCI DSS, GDPR, HIPAA, CCPA/CPRA, Singapore PDPA, and others. Licensing limits depend on the model and may use data-volume allowances or target-count and scanned-volume limits. Pricing is on request.

Lepide Data Classification scans unstructured data to find and classify sensitive information such as PII, PHI, PCI, and intellectual property. It offers hundreds of predefined criteria sets for locating sensitive data and mapping it to compliance mandates, and users can create custom classifications. Supported sources include Windows File Server, NetApp Filer, Exchange, SharePoint, OneDrive, Dropbox, Linux, Unix, NAS, and cloud storage. The product can classify data incrementally as it is created or modified after an initial scan, and Lepide describes identifying sensitive data at creation for persistent classification. It can score data by content risk, add context through proximity scanning, and provide visibility into access and user activity. Classified data can also be used with predefined threat models for detection and automated response. Lepide Identify can schedule Windows File Server PII searches for DSAR, right-to-be-forgotten, and eDiscovery requests. Deployment is hybrid; the DDC Agent requires a Windows system and an accessible Microsoft SQL Server database. Pricing is quote-based, and a 15-day trial includes 24x5 Full Support evaluation assistance.