TechValidate Research on PKWARE


Dataguise Case Study

Global 500 Financial Services Company

Introduction

This case study of a Global 500 financial services company is based on a December 2020 survey of Dataguise customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“[Dataguise improved our] data security with masking on Social Security Numbers and credit card numbers while preserving the format of data, which subsequently allows leveraging at downstream analytics.”

Challenges

The cybersecurity needs that most influenced their decision to use Dataguise solutions:

  • Custom data masking

The compliance measures that most influenced their decision to use Dataguise solutions:

  • PCI / DSS

Use Case

The following data types are protected with Dataguise:

  • Credit card and financial information
  • Personal data (SSNs, race, religion, minors, etc.)

Data uncovered by Dataguise’s data discovery is protected with:

  • Encrypting

They use Dataguise functionality for data security with these additional use cases:

  • Data protection (masking or encryption)

Results

The company experienced these immediate benefits following the deployment of Dataguise:

  • Improved protection of PI/PII
  • Increased their data security by 75 – 90% since implementing Dataguise technology
  • Saved 75 – 90% of time by moving from manually applied protection to Dataguise’s automated discovery and protection solution




About This Data

This data was sourced directly from verified users of PKWARE by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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