Data Discovery & Classification

byBigID

BigID's Data Discovery & Classification solution enables organizations to automatically discover, classify, and manage sensitive, personal, and regulated data across their entire data landscape, including structured, unstructured, and semi-structured data in cloud, on-premises, and hybrid environments. By leveraging advanced machine learning (ML), natural language processing (NLP), and deep pattern matching, BigID provides precise identification and categorization of data, facilitating compliance with regulations such as GDPR, CPRA, HIPAA, and PCI. The platform offers comprehensive coverage across various data sources, including cloud services, SaaS applications, on-premises systems, messaging apps, data lakes, and AI pipelines. It employs advanced classification techniques to identify personal data (PII, PHI, PCI), sensitive attributes, intellectual property, and toxic data combinations. Users can refine and customize classification models to their specific environments, improving accuracy and reducing false positives over time. BigID's intuitive Data Explorer allows users to visualize, filter, and drill into discovered data, turning discovery into actionable intelligence without heavy manual effort. The platform also supports policy-driven discovery, automatically applying policies for various regulations and enabling actions such as quarantining, redacting, deleting, minimizing, or labeling sensitive data. Additionally, BigID identifies data fueling AI models, enabling responsible AI development with full risk visibility.

Features

  • Comprehensive data discovery across cloud, SaaS, on-premises, and hybrid environments
  • Advanced classification using ML, NLP, and deep pattern matching
  • Customizable classification models for improved accuracy
  • Intuitive Data Explorer for data visualization and analysis
  • Policy-driven discovery and automated remediation actions
  • Identification of data used in AI models for responsible AI development

Product Details

Pricing
Custom
Deployment
Hybrid
Location
🇺🇸 New York, United States
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