New Dataguise for Data Governance Spans Hadoop and Relational Database Management Systems Jun 19, 2014
Data security specialist Dataguise has introduced Dataguise for Data Governance suite, a solution suite for big data governance that enables organizations to declare policies, discover sensitive data, view and track entitlements, and audit access to sensitive data – automated across transactional databases, data warehouses, file shares, Hadoop, and other big data sources.
Compatible with DgSecure, Dataguise’s flagship platform for data privacy, protection and security for sensitive data across the enterprise, Dataguise for Data Governance will initially support Oracle, IBM DB2, SQL Server, Teradata, Cloudera, Hortonworks, MapR and Pivotal HD.
“With the ever-increasing amounts of data from new and varied sources that can be structured, unstructured and semi-structured, identifying, categorizing and ranking privacy and security risks has become a major challenge in enterprises today,” said Patty Nghiem, vice president of marketing and business development at Dataguise. “With the Dataguise for Data Governance suite, for the first time, organizations who value protecting their data assets have the tools, visibility and automation that are crucial for discovering sensitive data, maintaining compliance, mitigating risk and facilitating data governance – especially given the rise of big data initiatives.”
Using Dataguise for Data Governance organizations can select pre-defined policies for PCI, PII and HIPAA; or click-to-create custom policies with no coding or scripting; automatically find and track sensitive data in the enterprise, whether at rest or in motion, in structured or unstructured format, across heterogeneous data platforms; view and track entitlements down to the user and data element level; and view automated reports and dashboards to track who accessed what sensitive data.