Click here to close now.

SYS-CON MEDIA Authors: Liz McMillan, Elizabeth White, Dana Gardner, tru welu, Blue Box Blog

News Feed Item

Dataguise Partners With MapR Technologies to Launch First Big Data Protection Sandbox for MapR

Dataguise Security Sandbox Offers Fastest and Easiest Onramp for Enterprises to Protect Sensitive Data in Hadoop

SAN JOSE, CA -- (Marketwired) -- 06/03/14 -- Dataguise®, the leading provider of Big Data security and protective intelligence solutions, today announced at Hadoop Summit the immediate availability of the Dataguise DgSecure™ data protection platform with the MapR Sandbox for Hadoop. The Dataguise Security Sandbox, integrated with the MapR Sandbox for Hadoop, is available as a free download from the MapR App Gallery. The integration with MapR allows organizations needing to protect sensitive data and address compliance and data governance in Apache Hadoop to get up and running in minutes. Developers and administrators can test drive Dataguise's data-centric protection, unique data discovery and automated masking and encryption techniques in conjunction with MapR. The integrated sandbox is packaged in a self-contained environment for enterprises to use MapR with enhanced, comprehensive visibility of where sensitive data moves, changes, and gets accessed across all workloads in pre-production and production Hadoop environments.

"The combination of Dataguise with MapR addresses the compliance and data protection issues surrounding sensitive data in Hadoop," said Tomer Shiran, VP of product management, MapR Technologies. "As a long-standing MapR partner and pioneer in Hadoop security, Dataguise's knowledge and expertise enables our joint customers to deploy Hadoop into production environments with the most granular data-centric security available in the market."

The MapR Sandbox for Hadoop is a fully functional Hadoop cluster with tutorials, demo applications, and browser-based user interfaces to let developers and administrators get started quickly with Hadoop. The Dataguise Security Sandbox complements and extends security in the MapR Distribution, enabling MapR customers to discover and protect sensitive data and address compliance concerns with running Hadoop in production.

The Dataguise Security Sandbox includes the following capabilities:

  • Policy Definition: Select pre-built policy templates like PCI, PII and HIPAA. Or, click-and-pick to easily define custom policies with no coding or scripting.
  • Data Discovery: Automatically find and track sensitive data in Hadoop, whether at rest or in motion, in structured or unstructured format.
  • Data Protection: Efficiently and effectively implement data-centric data masking, redaction and encryption strategies, down to the most granular data element level.
  • Analytics: View dashboards and reports on sensitive-data discovery, data lineage and protection results to assess security risks and facilitate compliance and data governance

"Organizations are quickly finding that compliance and data protection concerns must be addressed up front in order to run Hadoop in production," said Patty Nghiem, vice president of marketing and business development at Dataguise. "Now, with the integrated sandbox from MapR and Dataguise, our mutual prospects can dive in and experience directly how easy it is to deploy a Hadoop cluster and discover, mask, encrypt and monitor sensitive data for enterprise Big Data projects."

To download a free copy of the MapR Sandbox for Hadoop integrated with the Dataguise Security Sandbox, visit the MapR App Gallery: http://www.mapr.com/apps/dataguise-dgsecure

About Dataguise
Dataguise is the leading provider of Big Data security and protective intelligence solutions. Enterprises in the financial services, healthcare, retail, government and other industries rely on Dataguise for discovery, data masking, encryption, 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 Accountability Act (HIPAA), The Health Information Technology for Economic and Clinical Health (HITECH), and the Payment Card Industry (PCI) DSS. For more information visit: http://dataguise.com/.

Press Contact
Travis Anderson
Trainer Communications
925.271.8227
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

Latest Stories
As enterprises engage with Big Data technologies to develop applications needed to meet operational demands, new computation fabrics are continually being introduced. To leverage these new innovations, organizations are sacrificing market opportunities to gain expertise in learning new systems. In his session at Big Data Expo, Supreet Oberoi, Vice President of Field Engineering at Concurrent, Inc., discussed how to leverage existing infrastructure and investments and future-proof them against e...
The consumption economy is here and so are cloud applications and solutions that offer more than subscription and flat fee models and at the same time are available on a pure consumption model, which not only reduces IT spend but also lowers infrastructure costs, and offers ease of use and availability. In their session at 15th Cloud Expo, Ermanno Bonifazi, CEO & Founder of Solgenia, and Ian Khan, Global Strategic Positioning & Brand Manager at Solgenia, discussed this shifting dynamic with an ...
Due of the rise of Hadoop, many enterprises are now deploying their first small clusters of 10 to 20 servers. At this small scale, the complexity of operating the cluster looks and feels like general data center servers. It is not until the clusters scale, as they inevitably do, when the pain caused by the exponential complexity becomes apparent. We've seen this problem occur time and time again. In his session at Big Data Expo, Greg Bruno, Vice President of Engineering and co-founder of StackI...
Once the decision has been made to move part or all of a workload to the cloud, a methodology for selecting that workload needs to be established. How do you move to the cloud? What does the discovery, assessment and planning look like? What workloads make sense? Which cloud model makes sense for each workload? What are the considerations for how to select the right cloud model? And how does that fit in with the overall IT transformation?
The recent trends like cloud computing, social, mobile and Internet of Things are forcing enterprises to modernize in order to compete in the competitive globalized markets. However, enterprises are approaching newer technologies with a more silo-ed way, gaining only sub optimal benefits. The Modern Enterprise model is presented as a newer way to think of enterprise IT, which takes a more holistic approach to embracing modern technologies.
For better or worse, DevOps has gone mainstream. All doubt was removed when IBM and HP threw up their respective DevOps microsites. Where are we on the hype cycle? It's hard to say for sure but there's a feeling we're heading for the "Peak of Inflated Expectations." What does this mean for the enterprise? Should they avoid DevOps? Definitely not. Should they be cautious though? Absolutely. The truth is that DevOps and the enterprise are at best strange bedfellows. The movement has its roots in t...
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impac...
There is little doubt that Big Data solutions will have an increasing role in the Enterprise IT mainstream over time. 8th International Big Data Expo, co-located with 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - has announced its Call for Papers is open. As advanced data storage, access and analytics technologies aimed at handling high-volume and/or fast moving data all move center stage, aided by the cloud computing bo...
Every day we read jaw-dropping stats on the explosion of data. We allocate significant resources to harness and better understand it. We build businesses around it. But we’ve only just begun. For big payoffs in Big Data, CIOs are turning to cognitive computing. Cognitive computing’s ability to securely extract insights, understand natural language, and get smarter each time it’s used is the next, logical step for Big Data.
Enterprises are fast realizing the importance of integrating SaaS/Cloud applications, API and on-premises data and processes, to unleash hidden value. This webinar explores how managers can use a Microservice-centric approach to aggressively tackle the unexpected new integration challenges posed by proliferation of cloud, mobile, social and big data projects. Industry analyst and SOA expert Jason Bloomberg will strip away the hype from microservices, and clearly identify their advantages and d...
There's no doubt that the Internet of Things is driving the next wave of innovation. Google has spent billions over the past few months vacuuming up companies that specialize in smart appliances and machine learning. Already, Philips light bulbs, Audi automobiles, and Samsung washers and dryers can communicate with and be controlled from mobile devices. To take advantage of the opportunities the Internet of Things brings to your business, you'll want to start preparing now.
The 4th International Internet of @ThingsExpo, co-located with the 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - announces that its Call for Papers is open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
In a world of ever-accelerating business cycles and fast-changing client expectations, the cloud increasingly serves as a growth engine and a path to new business models. Dynamic clouds enable businesses to continuously reinvent themselves, adapting their business processes, their service and software delivery and their operations to achieve speed-to-market and quick response to customer feedback. As the cloud evolves, the industry has multiple competing cloud technologies, offering on-premises ...
The 5th International DevOps Summit, co-located with 17th International Cloud Expo – being held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA – announces that its Call for Papers is open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the...
The OpenStack cloud operating system includes Trove, a database abstraction layer. Rather than applications connecting directly to a specific type of database, they connect to Trove, which in turn connects to one or more specific databases. One target database is Postgres Plus Cloud Database, which includes its own RESTful API. Trove was originally developed around MySQL, whose interfaces are significantly less complicated than those of the Postgres cloud database. In his session at 16th Cloud...