TechValidate Research on Varonis Data Security Platform

These pages present data that TechValidate has sourced via direct research with verified customers and users of Varonis Data Security Platform. TechValidate stands behind the authenticity of all published data. Learn more »



1,312 Customers Surveyed

11,296 Data Points Collected

95 Published TechFacts

26 Published Charts

25 Published Case Studies



Featured Research Collections for Varonis Data Security Platform

Curated collections and slideshows of TechValidate research data on Varonis Data Security Platform.



Selected Research Highlights


Varonis Metadata Framework Customer Research

Access Monitoring and Visibility Biggest Challenges for GDPR Regulated Organizations

What were your data security challenges prior to Varonis?

Overexposed sensitive & classified data
47%
Limited to no monitoring of privileged and end user access
67%
Limited to no visibility into permission structure
67%
Overabundance of stale data
27%
Failed audit
13%
Suffered a data breach
7%
Plagued by ransomware hitting our file shares
13%

Varonis Data Security Platform Case Study

Financial Services Company Saves 10-20 Hours Per Week Enforcing GDPR Compliance Using 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.

Varonis Data Security Platform Customer Research

DatAlert saved Wood Buffalo Housing’s security team 11-15 hours per week in monitoring and searching for anomalous behavior against their data.

Varonis Data Security Platform Customer Research

93% of surveyed organizations confirmed that the Varonis Data Risk Assessment caused zero disruptions to their IT environment.

93%

Varonis Data Security Platform Customer Research

Visibility, Control and Monitoring Top GDPR Challenges Prior to Using Varonis

Prior to using Varonis, we had the following concerns related to meeting GDPR standards:

Unable to determine who accessed personal data and if they abused that access
50%
Unable to guarantee a least privilege access model against personal data
50%
Unable to locate personal data within files across the network
50%
Unable to satisfy the right to be forgotten rule
33%
None of these challenges because we have been using Varonis long before GDPR to identify, lock down and/or remove unneeded personal data
25%
Unable to determine if a breach happened
25%
Unable to conduct regular data protection impact assessments
17%
Unable to determine when personal data is no longer necessary
17%

Varonis Data Security Platform Customer Research

Medium Enterprise Banking Company

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.

“Audit and data protection.”

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.


More to Explore



About Varonis Data Security Platform

Varonis is a leading provider of software solutions that protect data from insider threats and cyberattacks. Through an innovative software platform, Varonis allows organizations to analyze, secure, manage, and migrate their volumes of unstructured data. Varonis specializes in file and email systems that store valuable spreadsheets, word processing documents, presentations, audio and video files, emails, and text. This rapidly growing data often contains an enterprise's financial information, product plans, strategic initiatives, intellectual property, and confidential employee, customer or patient records.

Varonis Data Security Platform Website   Varonis Website