BigID's Discovery Foundation is an advanced data discovery and classification platform that leverages machine learning to rapidly scan and analyze large volumes of structured and unstructured data. It automates the process of discovering, inventorying, and mapping sensitive data across diverse enterprise environments, including SaaS, PaaS, IaaS, and on-premises data centers. The platform offers customizable classification, ML-based insights, and scalability to petabyte-level data volumes.

Key Features

ML-based Hyperscan Accelerates data discovery process

• Scans large volumes of unstructured data rapidly
• Provides faster time to value and deeper data insights

Comprehensive Data Discovery Identifies various types of sensitive information

• Discovers PI, sensitive data, regulated data, and financial data
• Uncovers dark data across the enterprise

Customizable Classification Tailors data categorization to specific needs

• Offers hundreds of out-of-the-box policies and classifiers
• Allows creation of custom classifiers for specific requirements

Advanced ML and NLP Capabilities Enhances classification accuracy

• Combines pattern recognition with ML, NLP, and Deep Learning
• Provides customizable NLP models for context-aware classification

Identity Mapping Connects data points for holistic understanding

• Maps PII and PI to identities, entities, and residencies
• Surfaces relationships between data points

Benefits

Improved Data Insight Provides comprehensive view of sensitive data

• Enables exploration by type, context, sensitivity, and risk
• Facilitates better data governance and protection strategies

Enhanced Efficiency Streamlines data discovery and classification processes

• Automates workflows for more efficient operations
• Reduces manual effort in data management

Scalability Adapts to enterprise-level data volumes

• Connects to hundreds of data sources natively
• Handles petabyte-scale environments effectively

Regulatory Compliance Supports adherence to data protection regulations

• Automatically classifies data by regulation and risk
• Facilitates compliance with various data protection laws