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HP Helps Organizations Improve Security by Providing Context to Big Data
[February 25, 2013]

HP Helps Organizations Improve Security by Providing Context to Big Data

(Marketwire Via Acquire Media NewsEdge) SAN FRANCISCO, CA -- (Marketwire) -- 02/25/13 -- HP (NYSE: HPQ) today announced new offerings that enable organizations to use unique contextual understanding to gain actionable security intelligence from Big Data to better detect and prevent threats.

For the first time, organizations can automatically apply sentiment analysis and event information to their Big Data and security event platforms to gain real-time visibility into the internal and external threat landscape.

Uniting comprehensive, real-time correlation with content analyticsHP has integrated the security information and event management (SIEM) capabilities of HP ArcSight with the HP Autonomy IDOL content analytics engine. This combination automatically recognizes the context, concepts, sentiments and usage patterns related to how users interact with all forms of data.


The new solution broadens the reach of an organization's security monitoring capabilities by bringing meaning to raw security data. By enabling the tracking and analysis of human sentiments associated with data, such as behavior patterns, organizations are better equipped to quickly identify threats that would have previously gone unnoticed.

While HP Autonomy helps organizations understand internal and external interactions with data, the new HP ArcSight Cloud Connector Framework allows organizations to easily collect application event and log data from cloud service providers. The HP ArcSight Cloud Connector Framework is based on industry-standard protocols, providing a single, real-time view into user activity and threat monitoring for on-premises and cloud applications.

Leveraging Hadoop Big Data for broader security analysisThe new HP ArcSight/Hadoop Integration Utility is a plug-in ready platform that seamlessly integrates HP ArcSight 6.0c with Apache™ Hadoop™. Together, the technologies speed the process of digging through Big Data stores to provide a more complete view into events and to more quickly identify security attack trends.

The solution links HP ArcSight's reporting, search and correlation capabilities with Hadoop's large, centralized storage repository, giving organizations the storage capacity needed to handle petabytes of information. Open-source machine-learning algorithms, statistical analysis, anomaly detection and predictive analytics can be applied to the stored data, providing greater insight and resolution into security events.

"Many organizations have not been able to access the critical information they need to combat potential threats," said Art Gilliland, senior vice president and general manager, Enterprise Security Products, HP. "With the integration of cloud monitoring, content analytics and Big Data processing, HP provides clients with the context needed to effectively stop potential breaches." HP's premier Americas client event, HP Discover, takes place June 11-13 in Las Vegas.

About HPHP creates new possibilities for technology to have a meaningful impact on people, businesses, governments and society. The world's largest technology company, HP brings together a portfolio that spans printing, personal computing, software, services and IT infrastructure to solve customer problems. More information about HP is available at http://www.hp.com.

Apache and Hadoop are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.

This news release contains forward-looking statements that involve risks, uncertainties and assumptions. If such risks or uncertainties materialize or such assumptions prove incorrect, the results of HP and its consolidated subsidiaries could differ materially from those expressed or implied by such forward-looking statements and assumptions. All statements other than statements of historical fact are statements that could be deemed forward-looking statements, including but not limited to statements of the plans, strategies and objectives of management for future operations; any statements concerning expected development, performance, market share or competitive performance relating to products and services; any statements regarding anticipated operational and financial results; any statements of expectation or belief; and any statements of assumptions underlying any of the foregoing. Risks, uncertainties and assumptions include macroeconomic and geopolitical trends and events; the competitive pressures faced by HP's businesses; the development and transition of new products and services and the enhancement of existing products and services to meet customer needs and respond to emerging technological trends; the execution and performance of contracts by HP and its customers, suppliers and partners; the protection of HP's intellectual property assets, including intellectual property licensed from third parties; integration and other risks associated with business combination and investment transactions; the hiring and retention of key employees; assumptions related to pension and other post-retirement costs and retirement programs; the execution, timing and results of restructuring plans, including estimates and assumptions related to the cost and the anticipated benefits of implementing those plans; the resolution of pending investigations, claims and disputes; and other risks that are described in HP's filings with the Securities and Exchange Commission, including HP's Annual Report on Form 10-K for the fiscal year ended October 31, 2012. HP assumes no obligation and does not intend to update these forward-looking statements.

© 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. The only warranties for HP products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. HP shall not be liable for technical or editorial errors or omissions contained herein.

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