Dataprius

Dataprius

Dataprius is an open-source discovery and classification tool that helps organizations gain visibility into sensitive data across cloud platforms. It can automatically scan repositories and classify data to allow security teams to understand data risks.
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opensource data-discovery data-classification sensitive-data cloud-security

Dataprius: Cloud Data Classification Tool

An open-source discovery and classification tool for cloud platforms, automatically scanning repositories and classifying sensitive data to help security teams understand data risks.

What is Dataprius?

Dataprius is an open-source data discovery and classification platform designed to help organizations gain visibility into sensitive or risky data stored in the cloud. It allows security and compliance teams to automatically scan cloud platforms like S3, GitHub, GitLab, SharePoint and more to find sensitive data and classify it based on policy.

Key features of Dataprius include:

  • Automatic scanning of major cloud platforms and repositories
  • Out-of-the-box data classification policies for sensitive data types like PII, financial data, API keys etc.
  • Data risk analysis with risk scoring to enable risk-based remediation
  • Flexible classification policy engine to customize scans and data types
  • Intuitive dashboards and reporting for audits and oversight
  • Open-source model for transparency and community-driven innovation

By leveraging Dataprius, organizations can establish a proactive approach to data security through continuous discovery and classification. This allows security teams to locate sensitive data, monitor permissions and access controls, receive alerts on policy violations, and ultimately reduce data breach risks.

Dataprius Features

Features

  1. Automatic data discovery across cloud platforms
  2. Sensitive data classification and risk assessment
  3. Integrations with popular cloud storage providers
  4. Customizable data classification rules
  5. Detailed reporting and analytics

Pricing

  • Open Source

Pros

Open-source and free to use

Comprehensive data discovery and classification capabilities

Helps organizations understand and mitigate data risks

Scalable and easy to integrate with existing infrastructure

Cons

Requires technical expertise to set up and configure

Limited support and community resources compared to commercial tools

May not have the same level of features and functionality as paid solutions


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