BigID Data Minimization is a comprehensive solution designed to help organizations reduce their data footprint, thereby improving cybersecurity, ensuring compliance, and reducing costs. The platform automates the identification, classification, and elimination of redundant, obsolete, and trivial (ROT) data, as well as duplicate and stale information. By streamlining data management processes, it enables organizations to minimize their attack surface and enhance overall data governance.

Key Features

Automated Data Discovery and Classification Identifies and categorizes data across the organization

• Finds, classifies, and tags duplicate data
• Inventories redundant, obsolete, and trivial (ROT) data

Policy-Based Data Management Enforces data retention and minimization policies

• Flags stale data and policy violations
• Remediates data based on sensitivity, type, and policy

Workflow Automation Streamlines data minimization processes

• Manages workflows and delegates actions
• Automatically triggers alerts and notifications

Benefits

Enhanced Cybersecurity Reduces the organization's attack surface

• Minimizes data volume, limiting potential breach impact
• Improves overall data protection through reduced exposure

Improved Compliance Ensures adherence to data protection regulations

• Facilitates compliance with data minimization principles
• Provides audit logs for regulatory reporting

Cost Reduction Optimizes data storage and management costs

• Eliminates unnecessary data storage expenses
• Streamlines data management processes for increased efficiency