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Dataguise to Showcase DG for Hadoop at IBM Information On Demand Conference in Las Vegas

FREMONT, CA — (Marketwire) — 10/18/12 — Dataguise (), a leading innovator of data security intelligence and protection solutions, today announced it will present DG for Hadoop at the 2012 Information On Demand conference in Las Vegas, NV from October 21-25. The comprehensive security solution for Apache Hadoop delivers enterprise-class detection and protection for sensitive data aggregated in these expansive data deployments. For the first time at the conference, Dataguise will demonstrate the solution in conjunction with IBM InfoSphere BigInsights for secure, high-performance analytics.

Information On Demand 2012 is a venue for premier discussions on the future of information management. In one global event, attendees gain access and exposure to the full breadth of IBM Information Management technologies and experts. Following this theme, Dataguise will showcase DG for Hadoop in booth #224 and demonstrate how sensitive data can be detected and secured by either encryption or masking.

“With the topic of data security heating up around Apache Hadoop, we are pleased that IBM customers will have the chance to experience next-generation technology from Dataguise at this year-s event,” said Bruce Weed, Program Director, IBM Big Data. “As an IBM Express Advantage Partner, Dataguise is collaborating with IBM to protect this new data landscape with DG for Hadoop, a flexible and agile solution for securing sensitive data.”

As large organizations increasingly turn to Apache Hadoop to manage and administer exponentially larger volumes of data, they need to be assured that their environment can scale efficiently without concerns for data security or integrity. The combination of IBM InfoSphere BigInsights, and DG for Hadoop provides the solution needed to intelligently manage and protect data without risk or concerns about scalability.

IBM InfoSphere BigInsights enhances Apache Hadoop to withstand the demands of the enterprise, adding administrative, workflow, provisioning, and security features, along with best-in-class analytical capabilities from IBM Research. The result is that users get a more developer and user-friendly solution for complex, large scale analytics. IBM allows enterprises of all sizes to cost effectively manage and analyze the massive volume, variety and velocity of data that consumers and businesses create every day.

DG for Hadoop works with IBM InfoSphere BigInsights to locate and identify sensitive data types that are either custom defined or already preconfigured, addressing the requirements of regulations such as HIPAA, PCI, GLBA, and HiTech. Users can leverage DG for Hadoop to analyze search results and assess the company-s risk exposure. The solution can also be used to detect sensitive data in real-time during aggregation and apply the appropriate remediation policies, such as masking, either before or after the data is placed into Apache Hadoop.

“With IBM-s position as a premier provider of Apache Hadoop solutions, we look forward to ongoing efforts with them as we work jointly to improve the security and protection of the massive data stores found in Apache Hadoop,” said Manmeet Singh, CEO, Dataguise. “As a member of the IBM partner program and the first security company to deliver sensitive data detection, protection and actionable intelligence for Apache Hadoop, our mutual customers will benefit now and in the future.”

Dataguise and IBM Team to Mitigate Risk for Big Data Enterprises — #bigdata

Dataguise helps organizations safely leverage their enterprise data with a comprehensive risk-based data protection solution. By automatically locating sensitive data, transparently protecting it with high performance masking, encryption or quarantine, and providing enterprise security intelligence to managers, Dataguise improves data risk management, operational efficiencies and regulatory compliance costs. For more information, call 510-824-1036 or visit .

Contact Agency:
Joe Austin
The Ventana Group
(818) 332-6166

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