Cyberhaven Data Protection vs Microsoft Purview Data Loss Prevention: Side-by-Side Comparison (2026)

Cyberhaven Data Protection: DLP platform with data lineage tracking and AI-powered insider threat detection. built by Cyberhaven. Core capabilities include Data lineage tracking across endpoints, SaaS, and cloud environments, AI-based content classification and continuous data classification updates, Autonomous risk detection using Large Lineage Models..

Microsoft Purview Data Loss Prevention: Prevents unauthorized sharing and transfer of sensitive data across devices. built by Microsoft. Core capabilities include Centralized policy management through Microsoft Purview compliance portal, Protection across endpoints, Office 365, OneDrive, SharePoint, Microsoft Teams, and Microsoft 365 Copilot, Sensitive information type detection including out-of-the-box, custom, and trainable classifiers..

Both serve the Data Loss Prevention market but differ in approach, feature depth, and target audience.

Cyberhaven Data Protection differentiates with Data lineage tracking across endpoints, SaaS, and cloud environments, AI-based content classification and continuous data classification updates, Autonomous risk detection using Large Lineage Models. Microsoft Purview Data Loss Prevention differentiates with Centralized policy management through Microsoft Purview compliance portal, Protection across endpoints, Office 365, OneDrive, SharePoint, Microsoft Teams, and Microsoft 365 Copilot, Sensitive information type detection including out-of-the-box, custom, and trainable classifiers.

Cyberhaven Data Protection is developed by Cyberhaven. Microsoft Purview Data Loss Prevention is developed by Microsoft. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.

Cyberhaven Data Protection and Microsoft Purview Data Loss Prevention serve similar Data Loss Prevention use cases: both are Data Loss Prevention tools. Review the feature comparison above to determine which fits your requirements.