MIND Expands Endpoint Data Loss Prevention with AI-Driven Enhancements

Oct 21, 2025
MIND has introduced new AI-native innovations for its endpoint data loss prevention platform, adding features such as full data lineage tracking, native app protection, and automated USB control to improve enterprise data protection.

MIND has introduced new AI-native enhancements to its endpoint data loss prevention (DLP) platform, announced in a press release. The update aims to simplify data protection across user devices and environments while improving visibility and automation for security teams.

The upgraded endpoint DLP includes new capabilities such as full data lineage tracking, native application protection for locally installed and GenAI apps, and precise USB and peripheral device controls. It also adds evidence collection features that capture screenshots, file actions, and user behavior when policy violations occur, supporting investigations and audits.

Built on MIND’s unified platform for discovery, classification, detection, remediation, and policy management, the enhancements extend its automated protection approach to endpoints. The company said the update provides real-time risk detection and policy-based prevention to reduce data leaks without disrupting user productivity.

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