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Zettaset New Security Data Warehouse Enables Big Data Mining for Forensic Analysis


 
  
Able to track anomalies from multiple disparate sources across an organization to mitigate fraud and other risks. Affordable and Horizontally Scalable to Mine Petabytes of Data across multiple years.


Zettaset Aug 2, 2011 LAS VEGAS--(BUSINESS WIRE)-- Zettaset today unveiled at Black Hat its new Security Data Warehouse (SDW), the industry's first solution that enables users to track up to petabytes of business and security data for anomalies and other potentially threatening patterns across an organization's entire data footprint. The platform was created to empower enterprises as well as small- and medium-sized businesses with the data management and business intelligence needed to deploy and scale the most sophisticated fraud-mitigation and forensic solutions easily and affordably.

To combat "spear phishing" and other sophisticated methods of hacking, Zettaset's SDW arms risk management professionals with a platform that incorporates into their currently existing SEIM environment, or can be used as a stand alone data warehouse to store network events for compliance purposes. The unique feature of Zettaset's SDW is that it not only enables users to mine meaningful security information from numerous sources, such as firewalls and security devices, but also from website traffic, business processes and other day-to-day transactions. Users are then able to track patterns of anomalies and visualize deficiencies via typical business intelligence tools, empowering them to make informed decisions to protect critical assets and processes.

The Security Data Warehouse uses the Zettaset's patent-pending data management solution-built on multiple high-volume open-source technologies such as Hadoop, Hive, Pig and Zookeeper-to enable users to mine petabytes of current business and security data as well as historical data spanning multiple years.

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KDnuggets Home » News » 2011 » Aug » News Briefs » Zettaset New Security Data Warehouse Enables Big Data Mining for Forensic Analysis  ( < Prev | 11:n20 | Next > )