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Case Studies

CASE STUDIES

Trōv, an on-demand insurance company, needed to pseudonymize structured and unstructured production data to help comply with GDPR and other data privacy regulations. It needed to be able to identify and protect all sensitive data, regardless of location.

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Trov Insurance Solutions

ARI Fleet, a global fleet management company, needed an affordable, and scalable, solution to mask data based upon specific business criteria.

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ARI Fleet

A financial services company needed to discover, protect, and monitor personally identifiable information (PII) stored across all its AWS data repositories to prepare for data protection laws that are country- and state-specific, including GDPR, CCPA, and PIPEDA.

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Financial Services Company

Samsung runs several of the world’s largest big data product analytics applications. To ensure worldwide global privacy protection, Samsung has deployed Dataguise across the globe to run continuous detection and encryption for the sensitive user-specific elements of their mobile phone logs.

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Samsung

A global leader in health insurance and healthcare provides health benefits and services to more than 85 million individuals in more than 125 countries. To detect and protect its customers’ Protected Health Information (PHI), the company turned to Dataguise to deliver an intuitive, automated data-centric solution that addresses security and compliance across their complex structured, semi-structured, and unstructured data feeding into their aggregate MapR data lake.

Global Health Insurance and Health Leader

The world’s largest credit card issuer leverages big data analytics to detect fraudulent activity and improve the purchase experience for more than 90 million credit card holders across 127 countries. The company leverages Dataguise data-centric masking solutions to create multiple, tiered cluster views, ensuring automated protection at scale.

The World's Largest Credit Card Issuer

Repeatedly #1 on Forbes Most Admired Companies worldwide, this top credit card brand with more than 70,000,000 credit card transactions annually relies on Dataguise to detect and encrypt credit card and sensitive PII data across their global Hadoop deployment of Cloudera Enterprise.

Leading Global Credit Card Company

Navy Federal Credit Union aims to be the preferred and trusted financial institution serving the military and their families, growing from seven to more than five million members since 1933.The company uses Dataguise detection in conjunction with Compuware database masking to protect the private data of its members across large, complex, multi-vendor data in Oracle, Microsoft SQL, IBM DB2, Sybase, and MySQL.

Navy Federal Credit Union

An independent U.S. Government insurance agency needs to protect all Personal Identifiable Information (PII) data that is copied and accessed in non-production Oracle systems. Dataguise detection and masking successfully uncovers sensitive data during the staging of new non-production environments, and dynamically masks sensitive data in high-performance in-database agents.

US Government Insurance Agency

The Advisory Board is a global research, technology, and consulting firm that partners with more than 180,000 leaders in 4,500+ organizations across the health care and higher education sectors. The Advisory Board prevents breaches and builds trust by using Dataguise database detection and masking for their global Oracle databases.