Dataguise®, the leading provider of data-‐centric security solutions for Big Data Protection, today announced at the Gartner Security and Risk Management Summit the immediate availability of the Dataguise for Data Governance™ suite, the industry’s first solution suite for Big Data Governance. 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.
“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.” 1
“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.”
Dataguise for Data Governance 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.
1 “Big Data Needs a Data-‐Centric Security Focus” by Gartner, Brian Lowans and Earl Perkins, 26 March 2014
Dataguise (dataguise.com) is the leading provider of data-‐centric security solutions for Big Data Protection. Enterprises in the financial services, healthcare, retail, government and other industries rely on Dataguise for discovery, 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. 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. Dataguise is recognized as a visionary by one of the world's leading analyst firms for its ability to help its customers 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 Acco untability Act (HIPAA), The Health Information Technology for Economic and Clinical Health (HITECH), and the Payment Card Industry (PCI) DSS.