Lepide Data Classification review
Rule-based discovery and classification for files, email, SharePoint, and cloud repositories.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Lepide Data Classification, presented within Lepide Identify, discovers and classifies sensitive information in unstructured data stores. It is designed for organizations that need visibility into files, email, SharePoint, OneDrive, Dropbox, file servers, NAS, Linux, Unix, and cloud storage. Predefined criteria sets can identify data such as PII, PHI, PCI, and intellectual property, while custom patterns, tags, templates, and profiles support organization-specific rules. The product is available through a web console and supports hybrid deployment across on-premises and cloud data stores.
The published plans show a tiered structure. Core includes Lepide Auditor, Lepide Detect, and Lepide Trust. Plus includes Core and adds Lepide Identify data discovery. Advanced includes Plus and adds permissions remediation and inactive user remediation. Pricing is quote-based, so organizations should discuss requirements with Lepide when comparing the tiers. The main distinction is functional progression: discovery and classification capabilities appear in the lower tiers, while broader remediation is reserved for Advanced.
Its strongest fit is environments where rule-based classification needs to operate across varied unstructured repositories. Persistent classification can run when files are created or modified, while scheduled, on-demand, and on-the-fly options support different operating models. Pattern and proximity scanning are intended to reduce false positives, and risk-based categorization helps prioritize findings. Classification reports and eDiscovery searches for personally identifiable information add visibility and investigation support. Organizations focused on file, email, collaboration, and cloud repositories should find the scope aligned with their needs; teams requiring structured-data coverage should choose a product built for that broader data landscape.
Lepide Data Classification pros and cons
- Where it wins
- Persistent, scheduled, on-demand, and on-the-fly classification
- Custom patterns, tags, templates, profiles, and proximity scanning
- Risk scoring and remediation across hybrid unstructured data stores
- Where it doesn't
- Focused on unstructured data rather than structured data
- Pricing is quote-based across the published tiers
- Advanced remediation capabilities are limited to the Advanced plan
Lepide Data Classification fact sheet, pricing and score →
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