FREMONT, CA — (Marketwired) — 12/22/14 — , 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(1) and has also been identified as a representative vendor in the Gartner Market Guide for Data-Centric Audit and Protection report.(2)
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) (3) 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.”
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Dataguise is the leading provider of data-centric discovery, security and data governance solutions for Big Data. Organizations concerned about data breaches, data privacy and compliance (PII, PCI-DSS, HIPAA, HITECH, etc.) rely on Dataguise for no-coding/no-scripting discovery, protection, audit and governance for sensitive data in Hadoop, DBMS and other Big Data environments. Dataguise complements volume-level encryption tools and perimeter-based security strategies by providing the most granular cell-level discovery and protection at the data layer. Dataguise–s customers include the largest credit-card processing firms, healthcare organizations, communications/mobile providers, retail and government. 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. For more information:
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 by Joseph Feiman and Brian Lowans, 10 December 2014
(2) Gartner by Brian Lowans and Earl Perkins, 21 November 2014
(3) Figure 2, Gartner by Brian Lowans and Earl Perkins, 21 November 2014
Patty Nghiem
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