Dataguise Solution for Big Data Governance

Dataguise Inc. announced at the Gartner Security and Risk Management Summit the availability of the Dataguise for Data Governance, a suite for big data governance.

It 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, Apache Hadoop, and other big data sources. Initial supported platforms include Oracle, DB2, SQL Server, Teradata, Cloudera, Hortonworks, MapR and Pivotal HD. It is compatible with DgSecure, Dataguise’s platform for data privacy, protection and security for sensitive data across the enterprise.

“CISOs should not treat big data security in isolation, but require policies that encompass all data silos to avoid security chaos,” advises Gartner analysts Brian Lowans and Earl Perkins. “New data-centric audit and protection solutions and management approaches are required.“

“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, VP marketing and business development, 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.“

Features include:

Policy Quickstart: Select pre-defined policies for PCI, PII and HIPAA; or click-to-create custom policies with no coding or scripting
Sensitive Data Discovery: Automatically find and track sensitive data in the enterprise, whether at rest or in motion, in structured or unstructured format, across heterogeneous data platforms
Entitlements: View and track entitlements down to the user and data element level
Auditing: View automated reports and dashboards to track who accessed what sensitive data