Dataguise Positioned in “Visionaries” Quadrant of the Gartner Magic Quadrant for Data Masking Technology and Also Recognized in Gartner’s Market Guide for Data-Centric Audit and Protection

FREMONT, Calif. — December 22, 2014 — Dataguise, the leading provider of enterprise-wide data-centric discovery and security solutions, today announced that for the second year in a row, it has been named a “Visionary” in the Gartner Magic Quadrant for Data Masking Technology and has also been identified as a representative vendor in the Gartner Market Guide for Data-Centric Audit and Protection report.

Gartner analysts Joseph Feiman and Brian Lowans wrote in the Data Masking Technology report that “Global-scale scandals around sensitive data losses have highlighted the need for effective data protection, especially from insider attacks. Data masking, which is focused on protecting data from insiders and outsiders, is a must-have technology in enterprises’ and governments’ security portfolios.”

In the Market Guide for Data-Centric Audit and Protection, Gartner identified Dataguise as one of two representative data protection vendors operating across all four data silos (big data, cloud, database and files) and listed Dataguise as providing all five Data-Centric Audit and Protection (DCAP) capabilities profiled in the report (data classification and discovery, data security policy management, monitoring of user privileges and activity, auditing and reporting, and data protection.)

Dataguise goes beyond typical data classification, discovery and protection, enabling enterprises to proactively discover sensitive data “at rest” in data stores or “on ingest” as data is in motion – with no coding or scripting. In doing so, Dataguise empowers organizations to quickly deploy the most granular field-level encryption as well as auditing and monitoring strategies to protect against data breaches, insider threats and even simple human error.

According to Gartner, “Data cannot be constrained within storage silos, but is constantly transposed by business processes across multiple structured and unstructured silos on-premises or in public clouds.” As a result, the challenge of locating and protecting sensitive data to meet compliance mandates and address privacy policies has become even more daunting. Dataguise’s data-centric discovery and protection works across DBMSs, Hadoop, files and SharePoint, and it is complementary to data masking and encryption offerings from other vendors. Dataguise is the only vendor that supports 100 percent of the major Hadoop distributions – including Cloudera, Hortonworks, MapR and Amazon EMR – along with Hadoop-in-the-Cloud vendors Altiscale and Qubole, Teradata, traditional databases (like Oracle and SQL Server), files and SharePoint.

“Our ability to discover and protect sensitive data across data silos in databases, files, big data and the cloud – combined with our flexibility to complement and extend our customers’ existing encryption strategies – gives enterprises the ability to manage and protect their data however it best fits their business,” said Manmeet Singh, CEO of Dataguise. “We are honored to be recognized in both Gartner’s Market Guide for Data-Centric Audit and Protection and Gartner’s Magic Quadrant for Data Masking Technology for our ability to execute and completeness of vision.”

Gartner clients may access the Market Guide for Data-Centric Audit and Protection and the Magic Quadrant for Data Masking Technology on the Gartner web site.

About Dataguise

Dataguise is the leading provider of data privacy protection and compliance intelligence for sensitive data assets stored in both Big Data and traditional repositories. Dataguise’s comprehensive and centrally managed solutions allow companies to maintain a 360 degree view of their sensitive data, evaluate their compliance exposure risks, and enforce the most appropriate remediation policies, whether the data is stored on premises or inthe cloud.Dataguise is recognized as a visionary by one of the world’s leading analyst firms for its ability to help its cus tomers to reduce the risk of data breaches and to remain compliant with leading regulations designed to protect personally identifiable information(PII) such as the Health Insurance Portability and Accountability Act (HIPAA),The Health Information Technology for Economic and Clinical Health(HITECH),and the Payment Card Industry (PCI) DSS.For more information visit:

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 “Magic Quadrant for Data Masking Technology” by Joseph Feiman and Brian Lowans, 10 December 2014
  • 2. Gartner “Market Guide for Data-Centric Audit and Protection” by Brian Lowans and Earl Perkins, 21 November 2014
  • 3. Figure 2, Gartner “Market Guide for Data-Centric Audit and Protection” by Brian Lowans and Earl Perkins, 21 November 2014

# # #