TechValidate Research on Varonis Data Security Platform

Introduction

This case study of a medium enterprise financial services company is based on a May 2017 survey of Varonis Data Security Platform customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

Challenges

Prior to using the Varonis Data Security Platform (DSP), the Financial Services Company had the following concerns with meeting GDPR compliance:

• Unable to locate personal data within files across the network
• Unable to guarantee a least privilege access model against personal data
• Unable to determine who accessed personal data and if they abused that access

Use Case

While GDPR was not the primary reason for selecting Varonis, the Financial Services Company uses the Varonis DSP to meet the new regulation.

Results

Using the Varonis DSP, the Financial Services Company is able to meet GDPR in the following ways:

• Easily monitor access to this data and alert on abuse
• Quickly locate data that is no longer necessary or asked to be removed

Since switching to the Varonis DSP, they save 10-20 hours per week finding user access and applying a least privilege model.

Introduction

This case study of a medium enterprise banking company is based on a July 2017 survey of Data Classification Framework customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

Challenges

The business challenges that led the profiled company to evaluate and ultimately select Data Classification Framework:

• Purchased the Data Classification Framework for:
  • Securing sensitive data

Use Case

The key features and functionalities of Data Classification Framework that the surveyed company uses:

• Purchased the Data Classification Framework over other products for its:
  • Ability to take automated action (quarantining through DTE)
  • Ability to alert on unusual activity through DatAlert
• Discovered exposed sensitive data from the following sources with Data Classification Framework:
  • PII
  • HIPAA
  • Intellectual Property
• When exposed sensitive data is found, their next step is to quarantine the data.
• has not started looking for personal data subject to GDPR, but plan to with Data Classification Framework.

Results

The surveyed company achieved the following results with Data Classification Framework:

• Agrees DCF is more accurate than any other classification engine tested in terms of content discovery & classification.
• Rates the speed of Varonis Data Classification Framework’s scanning as faster than other classification engines.
• Ability to protect sensitive data would be possible by using classification by itself, but is much faster with Varonis.