BigID Data Intelligence Platform

Connects to cloud object storage, data warehouses, on-premises databases, and SaaS platforms for discovery and classification, with coverage depth varying by product.

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.

Assigns risk scores to discovered data based on sensitivity, access exposure, and configuration, then continuously monitors access patterns and policy compliance to surface the highest-risk data stores for action.

Detects how sensitive data moves and transforms through AI pipelines to prevent exposure.

Serves compliant cookie consent banners, stores granular consent by category, and integrates with analytics and ad tech platforms to enforce user consent preferences.

Monitors updates to privacy laws and regulatory guidance across jurisdictions and maps changes to affected data processing activities and controls in the program.

Assesses third-party processors and sub-processors against GDPR data processing agreement requirements and privacy control standards before data sharing.

Provides structured DPIA workflows with pre-built templates for common processing activities, routing for DPO review, and documentation of risk mitigations.

Captures, stores, and versions consent records with purpose, legal basis, and timestamp, providing auditable proof of consent for data processing activities.

Discovers personal data processing activities and their associated data flows, systems, and third-party transfers: the foundation for GDPR Article 30 Records of Processing Activities.

Automates intake, identity verification, routing to data owners, and fulfillment of GDPR, CCPA, and LGPD data subject requests, access, deletion, portability, and correction.

Stores an immutable record of consent transactions (what consent was given, when, to which version of the privacy notice, from which IP and session), as required for GDPR accountability.

Hosts a self-service center where individuals manage granular communication and data-use preferences over time (channels, topics, and purposes), with those choices enforced across connected systems.

Crawls the site to discover all cookies and tracking technologies in use, categorizes them by purpose (strictly necessary, analytics, marketing), and maintains the cookie declaration.