Protegrity Recognized as Representative Vendor in Gartner’s Market Guide for Data-Centric Audit and Protection

Posted on Jan 16, 2016 in Press Releases | 0 comments


PROTEGRITY IDENTIFIED AS A VENDOR OPERATING ACROSS ALL FIVE DATA SILOS AND OFFERING SOLUTIONS IN ALL FIVE DCAP CAPABILITIES PROFILED IN THE REPORT

 

GartnerSTAMFORD, CT – January 13, 2016 – Protegrity, the leading provider of data-centric enterprise data security solutions, announced that it has been identified as a representative vendor in the Gartner “Market Guide for Data-Centric Audit and Protection” report.1

Gartner identified Protegrity as a vendor operating across all five data silos (database, files, Big Data, Software-as-a-Service and Infrastructure-as-a-Service) and offering solutions in all five DCAP capabilities profiled in the report (integrates policies across multiple silos, data classification is integrated, integrated data discovery across silos, application layer PAM, and data protection policy integration).

By 2018, data-centric audit and protection products will replace disparate siloed data security tools in 25 percent of large enterprises, up from less than 2 percent today,” according to Gartner. “Organizations that have not developed data security governance to apply consistent policies and security controls across data silos need to act.

“Protegrity is proud to be included in the latest Gartner ‘Market Guide for Data-Centric Audit and Protection’ report,” said Suni Munshani, CEO of Protegrity. “Companies are using data to improve operations, create markets, better service customers, and transform existing business models, but they can only do so successfully if they protect their sensitive data across the enterprise whether on premise, in the cloud, and anywhere in between.”

The Protegrity Data Security Platform is designed with a modular deployment architecture and centralized controls. The Enterprise Security Administrator (ESA) provides central control of policy, key management, auditing and reporting. The policy created and maintained in ESA is deployed to points where data is secured with Protegrity’s data protectors and gateways that provide blanket protection in complex, heterogeneous environments, utilizing various data protection methods, including Protegrity Vaultless Tokenization (PVT), encryption and masking.

Gartner clients may access the full report on the Gartner web site.

 

ABOUT PROTEGRITY: PROVEN EXPERTS IN DATA SECURITY

Protegrity is an enterprise data security software platform that leverages scalable, data-centric encryption, tokenization and masking to help businesses secure sensitive information while maintaining data usability. Built for complex, heterogeneous business environments, the Protegrity Data Security Platform provides unprecedented levels of data security certified across applications, data warehouses, mainframes, big data, and cloud environments. Companies trust Protegrity to help them manage risk, achieve compliance, enable business analytics, and confidently adopt new platforms. For additional information visit protegrity.com.

 

GARTNER DISCLAIMER:

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

1 Gartner “Market Guide for Data-Centric Audit and Protection” by Brian Lowans, Brian Reed and Marc-Antoine Meunier, 15 December 2015

© 2016 Protegrity USA, Inc. All rights reserved. Protegrity and the Protegrity logo are trademarks of Protegrity Corporation. Oracle and Java are registered trademarks of Oracle and/or its affiliates. All other trademarks are the property of their respective owners.

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PRESS CONTACT:

Michael Maloney

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