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MIND Data Discovery
Discovers & classifies sensitive data across SaaS, endpoints, email & file shares.

MIND Data Discovery
Discovers & classifies sensitive data across SaaS, endpoints, email & file shares.
Go Beyond the Directory. Track the Entire Market.
Monitor competitor funding, hiring signals, product launches, and market movements across the whole industry.
MIND Data Discovery Description
MIND Data Discovery is a data discovery and classification product that provides continuous visibility into sensitive data across SaaS applications, on-premise file shares, endpoints, and email systems. The product builds a living data catalog that includes resources, users, authorization details, file activities, and metadata. It is designed to provide visibility into data at rest, covering both content and context of sensitive files. Classification is handled by a multi-layer AI engine that uses purpose-built algorithms to categorize file types and identify sensitive elements within files — such as agreements, source code, medical records, and board minutes — going beyond traditional regex and pattern matching approaches. The product supports a wide range of file types, including images and archives, and applies automatic tags and user-based labels to classified files. It also captures business context around sensitive data to support policy decisions, compliance efforts, and risk response. MIND Data Discovery is cloud-native and is designed for rapid deployment, connecting to existing systems without lengthy setup. It aims to reduce false positive alerts that are common with legacy data security tools by incorporating contextual analysis alongside content inspection.
MIND Data Discovery FAQ
Common questions about MIND Data Discovery including features, pricing, alternatives, and user reviews.
MIND Data Discovery is Discovers & classifies sensitive data across SaaS, endpoints, email & file shares. developed by MIND. It is a Data Protection solution designed to help security teams with Data Classification, DLP, Sensitive Data.
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