Feb. 26, 2013 – HP 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.

<b>Uniting comprehensive, real-time correlation with content
analytics

</b>HP has integrated the security information
and event management (SIEM) capabilities of HP ArcSight with the <a href="http://www.autonomy.com/content/Products/products-idol-server/index.en.html">HP
Autonomy IDOL</a> 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.&nbsp;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.

<b>Leveraging Hadoop Big Data for broader security analysis

</b>The new HP ArcSight/Hadoop Integration Utility
is a plug-in ready platform that seamlessly integrates HP ArcSight 6.0c with ApacheT
HadoopT. 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.”

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