Best Free Data Classification Software of 2024

Find and compare the best Free Data Classification software in 2024

Use the comparison tool below to compare the top Free Data Classification software on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    MineOS Reviews
    MineOS is a UX-focused data privacy platform that knows compliance work has been rough in the past. Our automated no-code platform can be up & running in a day to bring companies comprehensive data mapping & classification that integrates with hundreds of popular data sources and discovers nearly 100% of a company’s data. By mapping and classifying data better, DSR management, risk assessments, and data policy enforcement all become easier and faster. Simplify compliance. Gain consumer trust. MineOS.ai
  • 2
    Microsoft Purview Reviews
    Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. You can easily create a comprehensive, up-to date map of your data landscape using automated data discovery, sensitive classification, and end to end data lineage. Data consumers can find trustworthy, valuable data. Automated data discovery, lineage identification and data classification across on and off-premises, multicloud, as well as SaaS sources. For more effective governance, a unified map of all your data assets and their relationships. Semantic search allows data discovery using technical or business terms. Get insight into the movement and location of sensitive data in your hybrid data landscape. Purview Data Map will help you establish the foundation for data usage and governance. Automate and manage metadata from mixed sources. Use built-in and customized classifiers to classify data and Microsoft Information Protection sensitive labels to protect it.
  • 3
    NetApp Cloud Data Sense Reviews

    NetApp Cloud Data Sense

    NetApp

    $50 TB per month
    NetApp® Cloud Data Sense is powered by powerful AI algorithms and provides automated controls, reporting, and monitoring so you can always keep track of your data. For business efficiency and cost optimization, data availability, ownership, completeness and quality are essential. Smart data decisions are made. Automate and execute the data optimization plans that you've been putting off. NetApp Cloud Data Sense automatically detects, maps, classifies, and categorizes your data wherever it may be. Cloud Data Sense allows you to automatically label and take action on information stored in files or database entries. Cloud Data Sense makes data management easier by using granular data parameters, and AI-driven context language identification. It visualizes your data automatically for you at all times. Cloud Data Sense allows you to analyze a wide range of data sources. You can analyze both structured and unstructured data in the cloud and on-premises.
  • 4
    MindLink Reviews
    MindLink offers secure Persistent Chat Rooms as a backbone of collaboration for mission-critical operations. MindLink protects highly classified information with next-generation encryption, military-grade access control, and data classification. MindLink is ideal for critical mission scenarios such as incident management, real-time ops, shift-based teamwork, inter-organizational collaboration, and shift-based teamwork. This solution is specifically designed to meet today's mission requirements. Unique data classification system that allows chat and message content to all be labeled appropriately. Secure security architecture that separates data into secret "communities" of interest. Innovative mechanism to encrypt chat data, and share encryption keys with users.
  • 5
    SISA Radar Reviews

    SISA Radar

    SISA Information Security

    Data discovery, file analysis, and classification are key components of data protection. SISA Radar data classification and data discovery will protect your entire data ecosystem. You can organize and classify sensitive data according to business requirements and criticality. Contextual information is important to improve sensitive data management. Get visibility into sensitive data, both structured and semi-structured. Data security is important to protect against unauthorized access. Respect privacy regulations such as PCI DSS, GDPR and CCPA. Next-generation data security can be scalable and sustainable. One platform to identify, contextualize and discover sensitive data. A proprietary algorithm for data discovery that identifies and contextualizes sensitive data faster and with lower false positives.
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