BigID develops enterprise software for data security, privacy, compliance, and AI governance. Its platform helps organizations discover, classify, understand, manage, protect, and act on sensitive, regulated, and high-value data across cloud, SaaS, on-prem, and hybrid environments. BigID positions data visibility and control as the foundation for reducing risk, meeting regulatory obligations, and preparing data for responsible AI use.
BigID brings together data discovery, risk assessment, privacy automation, access intelligence, remediation, cataloging, and lifecycle controls in a unified architecture. It emphasizes action as much as visibility, enabling enterprises to map data to identity, policy, access, residency, and business context so security, privacy, compliance, and governance teams can operate from a common data intelligence layer.
Offerings, Capabilities, and Integrations
BigID’s capabilities center on deep discovery and classification across structured, unstructured, and semi-structured data, with identity-aware context, risk scoring, policy enforcement, and automated remediation. It supports data security posture management, privacy operations, compliance automation, access risk reduction, AI data governance, and data minimization across enterprise environments.
Deployment options span SaaS, hybrid, and on-prem models. BigID integrates with cloud platforms, enterprise data stores, security operations tools, IAM ecosystems, and metadata environments through open APIs and broad connector coverage. It also supports bidirectional metadata exchange with platforms such as Alation, Collibra, Informatica EDC, Databricks Unity Catalog, and ServiceNow.
Products and Services
- BigID Next: BigID’s next-generation, modular platform for AI-powered data security, privacy, compliance, and AI governance, allowing customers to adopt and scale capabilities such as DSPM, DLP, lifecycle management, and privacy automation.
- DSPM: Data security posture management for discovering sensitive data, assessing exposure, prioritizing risk, and driving remediation across multicloud, SaaS, hybrid, on-prem, and AI environments.
- Cloud DLP: Cloud and AI-ready data loss prevention that monitors sensitive data, classifies and labels content, detects risky activity, and extends existing DLP and IRM controls with richer context.
- Access Governance: Data access governance for identifying overexposed data, overprivileged users and groups, and AI model access, with built-in support for least-privilege enforcement and remediation.
- Privacy Ops: Privacy operations capabilities that unify data mapping, assessments, consent and preference management, cross-border controls, and program execution for modern privacy teams.
- DSR Automation: Automation for data subject rights requests, including intake, identity-aware data mapping, fulfillment workflows, deletion orchestration, and auditable reporting.
- Privacy Portal: A branded self-service portal for privacy requests, preferences, opt-outs, appeals, and related communications with centralized workflow management.
- Cookie Consent: Cookie and tracker consent management with automated discovery, geolocation-aware banners, consent logging, and support for common privacy and advertising frameworks.
- Data & AI Catalog: A modern catalog for structured, unstructured, and semi-structured data plus AI-related assets, with semantic search, lineage, context, and curation for analytics and AI use.
- Data Lifecycle Management: Lifecycle automation for retention, deletion, minimization, and redundant, obsolete, and trivial data cleanup across enterprise environments and AI data pipelines.
- Data Security Platform: A unified security offering that brings together DSPM, Cloud DLP, access intelligence, remediation, and policy controls to manage data and AI risk in one environment.
- Data Detection & Response: Real-time detection and response focused on unusual data activity, risky data movement, and data-centric incident prioritization.
- Privacy & AI Impact Assessments: Assessment and documentation capabilities for privacy and AI governance workflows, helping teams operationalize impact analysis and compliance review.
- Metadata Exchange & Enrichment: Bidirectional metadata synchronization and enrichment for extending third-party catalogs and governance tools with BigID classification, context, and policy intelligence.
Target Customers
BigID primarily targets large enterprises with complex, distributed data estates and significant security, privacy, compliance, or AI governance requirements. It is especially relevant for organizations operating across multiple clouds, SaaS applications, data lakes, file shares, and on-prem systems that need a unified view of sensitive and high-risk data.
BigID has dedicated industry messaging for financial services, healthcare, insurance, retail, transportation, and high tech. Within those organizations, it serves security, privacy, compliance, data governance, cloud, and AI teams that need to reduce exposure, automate controls, support audits, and govern how data is used in analytics and AI initiatives.
Cloud Integrations and Marketplace
- AWS Marketplace: BigID Next is available in AWS Marketplace, supporting procurement and deployment for data security, privacy, compliance, and AI governance use cases on AWS.
- Google Cloud Marketplace: BigID is available through Google Cloud Marketplace and supports governance and protection use cases across Google Cloud services such as BigQuery, Cloud Storage, Google Drive, Gmail, Spanner, and Vertex AI-related environments.
- Microsoft Azure Marketplace: BigID Next is listed in Microsoft Azure Marketplace, and BigID supports Azure Marketplace deployment alongside discovery and governance across Azure data services and Microsoft 365 environments.
Key People
- Dimitri Sirota: CEO
- Nimrod Vax: Co-Founder and CPO
- Avi Aronovitz: CFO
- Marc DeGaetano: Chief Revenue Officer
- Sarah Hospelhorn: Chief Marketing Officer
- Eyal Sacharov: SVP Research & Chief Architect
Key Facts
- Headquarters: New York, New York, United States
- Employees: 501-1,000 employees
- Annual Revenue: $100M-$250M
- Parent Company: None
- Subsidiaries: Approximately 8 affiliates/subsidiaries, including BigID Ltd (Israel), BigID UK Ltd, BigID India Private Limited, BigID SARL, and BigID PTE Ltd.
- Publicly Listed: No (privately held)
Analyst Recognitions
- Gartner: 2026 Gartner Magic Quadrant for Data and Analytics Governance Platforms – Challenger.
- Forrester: The Forrester Wave™: Sensitive Data Discovery And Classification Solutions, Q2 2026 – Leader. The Forrester Wave™: Privacy Management Software, Q4 2025 – Leader.
- IDC: 2025 IDC MarketScape: Worldwide Data Privacy Compliance Software Vendor Assessment – Leader.
