BigID Data Intelligence Platform
Unified DSPM platform with AI-powered discovery, classification, and protection of enterprise data.
Vendor Information
BigID Data Intelligence Platform Overview
BigID is the first enterprise-grade unified Data Security Platform (DSP) delivering Data Security Posture Management (DSPM), risk remediation, Data Loss Prevention (DLP), data access governance, AI model governance, privacy, and data protection in one cloud-native solution. Unlike legacy point solutions requiring multiple vendors, BigID provides patented AI-powered classification across 1,000+ classifiers spanning 100+ languages, with agentless deployment discovering and securing data across hundreds of sources including cloud, Software as a Service (SaaS), on-premises, and development environments at petabyte scale.
The platform features AI Security Posture Management (AISPM) for governing Large Language Models (LLMs), copilots, and agentic AI, combined with automated remediation through labeling, masking, redaction, retention, and deletion capabilities. BigID Next introduces agentic AI assistants that help enterprises prioritize security risks, automate privacy programs, and support data stewards with intelligent recommendations, while maintaining continuous data activity monitoring and behavioral analytics to detect anomalous access patterns and insider threats.
Founded in 2016 by Dimitri Sirota and Nimrod Vax and headquartered in New York, BigID has raised $308M in total funding achieving unicorn status with a $1B valuation. The company has been recognized as a World Economic Forum Technology Pioneer, named to the Forbes Cloud 100 for multiple years, and designated as Market Leader in DSPM by industry analysts, serving enterprises across financial services, healthcare, government, and technology sectors with deep integrations spanning AWS, Azure, Google Cloud Platform (GCP), Snowflake, ServiceNow, and leading security platforms.
Key Capabilities
Standardized capabilities mapped to this product's security niche
Breadth of cloud services and SaaS platforms supported for data discovery: S3, GCS, Azure Blob, Snowflake, BigQuery, Redshift, RDS, M365, Salesforce. Coverage gaps in less-common data stores are a primary product differentiator.
Maps effective permissions to sensitive data stores across cloud IAM, database roles, and SaaS permissions, identifies over-privileged access and dormant entitlements.
Traces how sensitive data moves between storage locations, services, and users, surfaces unexpected cross-region transfers, shadow copies, and retention policy violations.
Verifies that sensitive data is stored and processed only in approved geographic regions, mapping data locations to applicable residency requirements (GDPR EEA, Australian Privacy Act, data sovereignty laws).
Automatically remediates discovered violations, revoking over-permissioned access, moving misplaced data to compliant storage, encrypting unprotected sensitive files.
Discovers and classifies sensitive data (PII, PHI, PCI data, IP) across cloud object storage, relational and NoSQL databases, data lakes, and SaaS platforms using content inspection and ML classification.
Identifies sensitive data in locations outside authorized data stores, development databases containing production PII, unprotected S3 prefixes, forgotten data lake partitions.
Integrations
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Compliance & Certifications
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