Is Your Privacy Program Ready for the AI Era?
BigID helps you automate privacy operations by streamlining data discovery, automating DSR and deletion workflows, and enabling you to track and manage consent. With built-in AI-driven insights, BigID simplifies regulatory compliance for GDPR, CPRA, EU AI Act, DORA, and more.
-1.png)
Recognized as the #1 industry-leading data security, privacy, and AI data management solution



-1.png?width=152&height=193&name=image%20(23)-1.png)


Data Rights Automation
Automate data rights fulfillment from access to deletion.
BigID automates DSR intake, verification, and fulfillment—whether it’s access, deletion, rectification, or portability—across structured and unstructured data. Reduce manual effort, accelerate response times, and stay compliant with GDPR, CPRA, LGPD, and other global regulations.
Consent Governance
Take control of consent and preference management with BigID’s centralized consent governance.
Automatically discover where consent records live, enforce policies across data sources, and maintain an auditable trail. Ensure that marketing, analytics, and data-sharing practices stay aligned with evolving consent requirements under GDPR, CPRA, and beyond.


RoPA
Simplify regulatory reporting with automated, always up-to-date RoPAs.
BigID discovers and maps data flows across systems, processes, and vendors to build a centralized inventory of processing activities. Gain visibility into who’s using personal data, why, and where—so you can demonstrate compliance with GDPR, CPRA, and other evolving privacy policies.
Privacy Impact Assessment
Quickly assess risk with Privacy Impact Assessments.
Streamline privacy risk assessments for new projects, vendors, and data initiatives. BigID automates PIA and DPIA workflows with built-in templates, risk scoring, and approvals to identify potential data privacy risks early. Enable faster compliance sign-offs and reduce operational friction without sacrificing accuracy or oversight.

.png?width=2000&height=1368&name=privacy-portal%20(1).png)
Privacy Portal
Proactively manage privacy requests, preferences, and cookie consent.
Deliver transparency and build trust with a branded, self-service privacy portal. BigID’s portal enables individuals to submit DSRs, manage their preferences, and track request statuses in real-time, all while reducing your team’s workload. Give customers and employees more control over their data while ensuring your organization remains compliant.
BigID is a Market Leader in Data Privacy and Data Discovery
.jpeg?width=350&height=245&name=og-image-2021-1200x630%20(2).jpeg)
BigID's data security and privacy-first posture brings with it purpose-built applications to reduce security and privacy risk, regardless of the data being in a structured data repository or on a file system.
.jpeg)
The CPO’s Guide to Building End-to-End Privacy Automation at Scale
The role of the CPO is evolving — is your privacy program keeping up?
Today’s CPOs face more complexity than ever, from sprawling cloud environments and AI blind spots to mounting regulatory pressure. This white paper explores how to break through these challenges and build a privacy program that runs continuously—powered by automation, aligned to strategic risk, and ready to scale.
.png)
How Telenor Manages Their Data & Builds Customer Trust with BigID
See why Telenor turns to BigID to build customer trust, protect their customer data, and enable compliance... and why they say "Companies who use BigID are showing that they’re taking data seriously.” BigID has helped to streamline and automate their data processes to manage and protect sensitive customer data and achieve compliance with global regulations.

How The University of Maryland Saved $5 Million in Risk Exposure
The University of Maryland used BigID to uncover and reduce over $5M in data risk across 2.5PB of cloud storage. With deep discovery and classification across Google Drive, O365, and Box, they identified and cleaned up thousands of exposed PII records—boosting compliance, minimizing exposure, and improving visibility across their data.