MIND Data Discovery

Paid#17 of 28 in Data Discovery and Classification SoftwareFile Analysis Software

MIND Data Discovery: Continuous discovery and AI classification for enterprise unstructured-data visibility. Ranked #17 of 28 in Data Discovery and Classification Software by our editors (7.6/10); pricing: Pricing on request; best for continuous unstructured data discovery.

7.6/10★★★★☆Editor score

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MIND Data Discovery7.6 Visit MIND

At a glance

• Editor score
  7.6 / 10
• Pricing
  Pricing on request
• Best for
  Continuous unstructured data discovery
• Facts checked
  22 Sep 2026

• Where it wins

  • Continuous discovery across SaaS, endpoints, file shares and email
  • Multi-layer AI classification with automatic tags and user-based labels
  • Catalogs resources, users, authorization, activity and metadata

• Where it doesn't

  • Pricing requires contact with sales
  • Cloud deployment may not fit teams requiring another deployment model
  • Its stated focus is unstructured-data discovery rather than structured databases

Our verdict on MIND Data Discovery

MIND Data Discovery is a cloud-native data discovery and classification capability for enterprise security teams. It continuously discovers sensitive data across SaaS applications, GenAI applications, endpoints, on-premise file shares and email systems. The platform creates a catalog of resources, users, authorization, file activity and metadata, then applies multi-layer AI classification to file types and sensitive elements. Automatic tags and user-based labels support data security and compliance programs.

Coverage is a central strength. MIND connects with Google Drive, OneDrive, Box, Microsoft Teams, Slack, Okta, GitHub, Salesforce, SharePoint, Egnyte, Windows Server, NetApp, Azure, Gmail and Microsoft Outlook. It also supports context and metadata analysis, just-in-time file scanning, continuous sensitive-data discovery and hybrid classification automation. The cloud deployment model and support for web, Windows, macOS, Linux and a Chrome extension give security teams several access points across user and enterprise environments.

Pricing is handled through contact with sales rather than published plan tiers. That makes MIND better suited to organizations evaluating a broader enterprise security deployment than buyers seeking an immediately comparable self-serve package. Teams should choose it when continuous visibility across distributed, unstructured data sources, cataloging and automated classification are priorities. Organizations centered on structured-database discovery or requiring a deployment model other than cloud should consider whether the product matches their operating requirements.

Your product? Our editors can test MIND Data Discovery in depth and publish a review, labelled as paid · from $149/mo →

MIND Data Discovery pricing

MIND Data Discovery fact sheet

MIND Data Discovery integrations

MIND Data Discovery lists 19 integrations on its own site.

• Google Drive
• OneDrive
• Box
• Microsoft Teams
• Slack
• Okta
• GitHub
• Salesforce
• SharePoint
• Egnyte
• Windows Server
• NetApp
• Azure
• Gmail
• Microsoft Outlook
• Microsoft Exchange
• ChatGPT
• Claude
• Gemini

Alternatives to MIND Data Discovery

• OVOpenText Voltage Data Security PlatformA broad enterprise platform for governed discovery, classification, and data actions.9.2
• Thales CipherTrust Data Discovery and ClassificationA broad discovery and classification platform for hybrid infrastructure and compliance programs.9.1
• Ground Labs Enterprise ReconA broad enterprise platform for finding, classifying and remediating sensitive data across diverse sources.9.0

See all MIND Data Discovery alternatives →

Featured on iTechGuides

MIND Data Discovery is listed in our Data Discovery and Classification Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update