Lepide Data Classification vs Strac Data Classification

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.

Strac Data Classification identifies and classifies sensitive information across SaaS, cloud, and endpoint environments, as well as databases, file shares, logs, documents, email, chat, and AI tools. Its machine-learning model scans text, attachments, and audio or video recordings. Listed categories include personal, health, and financial information, secrets, profanity, network details, vehicle data, and voice recordings. Organizations can define custom rules, including regex detection and examples from uploaded documents. Mapped policies can automatically apply Microsoft Purview Information Protection or Google Drive labels. Strac also lists actions such as encryption, masking, redaction, alerts, deletion, blocking, and revoking access. Named integrations include Office 365, Google Drive, AWS, Azure, Snowflake, Microsoft AIP, Google Cloud DLP, and Google Workspace IRM. Reporting and analytics are intended to support compliance monitoring and audits. The solution is described as agentless, with Linux, macOS, Windows, web, and self-hosted platforms listed. Pricing is by scope-based quote; the maker says an itemized quote follows a 30-minute scoping call.