TechValidate Research on PKWARE


Dataguise Case Study

Large Enterprise Financial Services Company

Introduction

This case study of a large enterprise 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.

“Our first use of the product was to help us gauge where we had sensitive data in our lower environments. Since the implementation, we have an excellent understanding in certain platforms of where we needed to mitigate.”

Challenges

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

  • Data tracking (discovery/classification)

Use Case

The company uses Dataguise to protect the following data types:

  • Personal data (SSNs, race, religion, minors, etc.)

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

  • Encrypting
  • Masking (redaction, de-identification, etc)
  • Deleting

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

  • Moving data to the cloud
  • Data protection (masking or encryption)

Results

The immediate benefits they experienced following the deployment of Dataguise:

  • Located and classified sensitive data
  • Increased data security by 25 – 50% since implementing Dataguise technology
  • Saved 25 – 50% 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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