BigID
by BigID Inc. · Data Privacy & GDPR
Data intelligence platform combining privacy automation, data discovery and AI governance.
Updated August 2026 · By the ERP Research Editorial Team · Independent and vendor-neutral.
- Works with
- Salesforce
- Deployment
- Cloud, On-premise, Hybrid
- Pricing
- Quote-based
- Founded
- 2016
Overview
BigID is a data security and privacy platform that discovers and classifies sensitive, regulated and shadow data across cloud, SaaS, on-premises, hybrid and AI systems, then uses that underlying data intelligence to power privacy compliance, security posture management and AI governance workflows. Its Privacy Suite automates the operational side of data-privacy programs: data subject access request (DSAR) fulfillment, cookie and preference consent management, Records of Processing Activity (RoPA), and Privacy/Data Protection Impact Assessments.
The DSAR workflow automates request intake, identity verification, data discovery, redaction, review, fulfillment, deletion and audit-evidence generation. Consent management covers cookie consent, location-aware banners, consent records and backend enforcement, connecting captured preferences to how data is actually used downstream rather than stopping at the banner. RoPA and impact-assessment workflows are enriched with real discovered data, processing context, ownership and lineage rather than relying on manual questionnaires alone.
BigID's connector catalog spans structured databases, unstructured file shares, cloud/SaaS applications, developer tools, big data and NoSQL platforms, mainframe systems and AI/vector data, with named integrations including AWS, Snowflake, Databricks, Salesforce, ServiceNow, Splunk and Wiz, plus governance-tool integrations with Alation, Collibra, Informatica and Atlan. Case studies published by BigID include the University of Maryland, Telenor and the U.S. Army. Pricing is based on a combination of data sources, apps and connectors in scope, deployment type, and level of services and support, with a free trial available.
Features & capabilities
Privacy Automation
DSAR fulfillment, consent management and RoPA.
- Automated DSAR intake, identity verification and fulfillment
- Data discovery, redaction and deletion tied to specific requests
- Cookie and preference consent management with backend enforcement
- Records of Processing Activity (RoPA) generation from live data discovery
- Privacy and Data Protection Impact Assessments enriched with discovered data
- Retention and deletion policy enforcement
Data Discovery & Classification
The underlying data intelligence layer other modules build on.
- Sensitive, regulated and shadow data discovery across cloud, SaaS, on-prem and hybrid
- Machine learning-based classification and cataloging
- Connector coverage across structured databases, unstructured file shares, big data and mainframe systems
Data Security & Risk Management
Security posture and access governance built on the same data map.
- Data Security Posture Management (DSPM)
- DLP enrichment
- Insider risk detection
- Access governance
AI Governance
Controls for AI training data, prompts and pipelines.
- Discovery of sensitive data used in AI training and prompts
- AI privacy risk assessment across models and datasets
- Policy controls for generative AI data usage
Common use cases
- Automating DSAR intake, identity verification and fulfillment across regulated data
- Generating audit-ready Records of Processing Activity (RoPA) from live data discovery rather than manual questionnaires
- Enforcing cookie and preference consent decisions against backend data systems, not just the banner
- Discovering and classifying sensitive data across Salesforce, ServiceNow, Snowflake and cloud storage
- Running Privacy and Data Protection Impact Assessments enriched with real data context
- Assessing AI training data and model pipelines for privacy risk
Strengths & considerations
Strengths
- Privacy workflows are built on top of BigID's own data discovery and classification engine rather than a separate questionnaire layer
- Broad connector catalog spanning structured, unstructured, cloud, SaaS, big data and mainframe systems
- Extends from privacy automation into DSPM, access governance and AI governance on the same data map
- Published case studies with the University of Maryland, Telenor and the U.S. Army
ERP integrations
Data discovery and classification of Salesforce data as part of the connector catalog
Pricing
Pricing is based on a combination of number of data sources, apps and connectors, deployment type, and level of services and support; sold in bundles (e.g. Security and Privacy bundles). Custom quote via sales. Get an independent shortlist with pricing guidance below.
About the vendor
- Founded
- 2016
- Ownership
- Private (venture-backed by investors including Bessemer Venture Partners, Scale Venture Partners, Salesforce Ventures and ServiceNow)
- Notable customers
- University of Maryland, Telenor, U.S. Army
Alternatives to BigID in Data Privacy & GDPR
BigID — frequently asked questions
What does BigID's Privacy Suite automate?
It automates data subject access request (DSAR) fulfillment, cookie and preference consent management, Records of Processing Activity (RoPA) generation, and Privacy/Data Protection Impact Assessments, all grounded in BigID's own data discovery and classification engine.
What data sources can BigID scan for personal data?
BigID's connector catalog covers structured databases, unstructured file shares, cloud and SaaS applications (including Salesforce, ServiceNow, Snowflake and Databricks), big data and NoSQL platforms, mainframe systems, and AI/vector data.
How is BigID priced?
BigID does not publish price points. Pricing is based on the number of data sources, apps and connectors in scope, deployment type, and level of services and support, sold as Security and Privacy bundles with a free trial available.
When was BigID founded?
BigID was founded in 2016.
Evaluating Data Privacy & GDPR?
Tell us your ERP and requirements and we'll send an independent shortlist — including BigID and the best-fit alternatives — with honest pros and cons.