Dataguise Offers Data Governance Solution For RDBMS And Apache Hadoop

Dataguise, provider of data-centric security solutions for Big Data Protection, recently announced at the Gartner Security and Risk Management Summit the immediate availability of the Dataguise for Data Governance suite.

Dataguise for Data Governance enables organizations to easily declare policies, discover sensitive data, view and track entitlements, and audit access to sensitive data – automated across transactional databases, data warehouses, file shares, Apache Hadoop, and other Big Data sources.

Initial supported platforms include Oracle, IBM DB2, SQL Server, Teradata, Cloudera, Hortonworks, MapR and Pivotal HD. Dataguise for Data Governance is fully compatible with DgSecure, Dataguise’s flagship platform for data privacy, protection and security for sensitive data across the enterprise.

Enterprises in the financial services, healthcare, retail, government and other industries have to be careful in encryption, data masking and intelligence for their sensitive data within Hadoop and other Big Data environments. This allows them to effectively identify information in need of protection and to ­­address regulatory compliance risk. Dataguise fills this gap and takes care of sensitive data.

Customers using DgSecure for Hadoop, DG for DBMS, DG for SharePoint and DG for Files are able to enforce the most appropriate remediation policies for data stored on premises or in the cloud.

Customers can now select pre-defined policies for PCI, PII and HIPAA to create a custom policy without coding or scripting. Sensitive data in the enterprise can be automatically found and tracked, whether at rest or in motion, in structured or unstructured format, across heterogeneous data platforms. Customers can view and track entitlements down to the user and data element level. They can also view automated reports and dashboards as to track who accessed what sensitive data.

“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.”