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What is BigID?
Founded in 2016 and headquartered in New York, BigID provides enterprise data security, privacy, compliance, and AI governance. Its BigID Next platform discovers, classifies, and protects sensitive data across hybrid and multicloud estates.
BigID Next is a cloud-native data security and intelligence platform connecting data discovery, classification, privacy, compliance, and AI governance. It scans structured, unstructured, and semistructured data across cloud, SaaS, on-premises, and hybrid environments, building context around sensitive information without copying or moving the underlying data. Teams use that inventory to understand exposure, map relationships, and apply controls across data and AI systems.
The platform covers sensitive-data discovery and classification, data security posture management, privacy automation, remediation, governance, and AI security. BigID says it supports more than 500 AI-driven classifiers and can enforce policies across AI lifecycles. AWS integrations include S3, Redshift, RDS, SageMaker, DynamoDB, Neptune, and EBS. The enterprise scope means connector coverage, deployment effort, and commercial details require procurement review.
BigID sells to large, regulated organizations and says it is trusted by Fortune 500 companies. Buyers can deploy through AWS Marketplace or work directly with sales; the public pricing page offers Express, Business, and Enterprise packages but no standard self-serve rate. AWS Marketplace lists a Discovery Foundation dimension at $175,000 for 12 months, while final quotes vary by sources, connectors, deployment, support, and use case.
Key features
Data discovery
Finds sensitive, personal, and regulated data across structured, unstructured, and semistructured sources in cloud, SaaS, hybrid, and on-premises estates.
Data classification
Uses automated classification and more than 500 AI-driven classifiers to identify and contextualize sensitive data.
DSPM
Maps data exposure, access, relationships, and risk to support security posture management and remediation.
Privacy automation
Automates privacy controls and compliance workflows across data landscapes and regulatory programs.
AI governance
Scans AI training data, maps models, and applies policy controls across AI applications and agents.
Policy remediation
Enforces policies and can send DSPM findings into AWS Security Hub for operational response.
Data intelligence
Creates a unified view of data inventory, duplicates, relationships, and business context without moving source data.
BigID pricing
BigID’s pricing page describes Express, Business, and Enterprise packages priced to the data, AI systems, connectors, and deployment a customer needs. AWS Marketplace lists Discovery Foundation at $175,000 for 12 months; BigID says custom quotes depend on scope and support.
| Plan | Price | What's included |
|---|---|---|
| Express | CustomPackage named on the public pricing page; standard rate not published. | Initial data or AI security project scoped to the buyer’s environment |
| Business | CustomPackage named on the public pricing page; standard rate not published. | Broader data security, privacy, and governance coverage sized to the program |
| Enterprise | CustomPackage named on the public pricing page; standard rate not published. | Whole-estate coverage, connectors, deployment, and enterprise support scoped by quote |
Free trial: No public free trial is listed.
Pros & cons
Pros
- Covers structured, unstructured, and semistructured data without moving it from its source.
- Combines discovery, DSPM, privacy, compliance, and AI governance in one platform.
- AWS Marketplace deployment connects with major AWS data services and Security Hub.
- More than 500 AI-driven classifiers support broad sensitive-data detection.
Cons
- Standard subscription rates and most package details are not publicly disclosed.
- The enterprise scope can require significant implementation and connector planning.
- AWS Marketplace’s published $175,000 entry dimension is costly for smaller teams.
- Detailed connector coverage and final functionality depend on the quoted environment and use case.
Who is BigID best for?
- Enterprise security teams inventorying sensitive data across multicloud and on-premises estates.
- Privacy and compliance leaders automating discovery, classification, and regulatory controls.
- AI governance teams securing training datasets, models, assistants, and agents.
- AWS customers wanting Marketplace procurement and native service integrations.
Coverage
Integrations
Notable customers
Frequently asked questions
How much does BigID cost?
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BigID does not publish standard subscription rates. Its public packages are Express, Business, and Enterprise, while AWS Marketplace lists Discovery Foundation at $175,000 for 12 months; final pricing is scoped to data, AI systems, connectors, deployment, and support.
How does BigID work and how long does implementation take?
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BigID scans data where it lives, classifies sensitive information, adds context, and applies security, privacy, and governance controls. The company does not publish a standard implementation timeline; duration depends on sources, connectors, deployment model, and estate size.
How does BigID compare with OneTrust?
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BigID emphasizes discovery, classification, DSPM, data security, and AI governance across hybrid data estates. OneTrust has broader privacy-management breadth, so buyers should compare required privacy workflows, data-source coverage, AI controls, and deployment scope.
What integrations does BigID support?
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BigID’s AWS integration includes S3, Redshift, RDS, SageMaker, DynamoDB, Neptune, and EBS, with findings pushed to AWS Security Hub. The broader connector catalog is environment-dependent and should be confirmed during procurement.
Who is BigID for?
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BigID targets enterprise security, privacy, compliance, data-governance, and AI-risk teams, particularly in regulated or complex organizations. Its Fortune 500 positioning, AWS deployment options, and broad hybrid coverage make it less oriented to small self-serve buyers.
Is BigID secure and accurate enough for sensitive-data programs?
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BigID says it does not copy or move data to discover, classify, or protect it, and its platform is FedRAMP authorized. Classification quality depends on source connectivity, configured policies, and review of results, so buyers should validate coverage in a technical evaluation.
Sources
Facts and pricing verified on October 19, 2026. Vendors change pricing often, so confirm with BigID before buying. How we research
