Narus Sets New Standard in Application Signature Detection and Decoding

Narus Sets New Standard in Application Signature Detection and Decoding 
Revolutionary New Approach Employs Machine Learning to Automatically
Identify Unknown Applications and Generate Corresponding Signatures
in Seconds 
SAN FRANCISCO, CA and SUNNYVALE, CA -- (Marketwire) -- 02/28/13 --  
RSA CONFERENCE 2013 -- Narus, Inc., a leader in big data analytics
for cybersecurity solutions, today introduced its new Application
Whitelisting Technology, a breakthrough application classification
technology that automates the process of generating application
signatures and identifies them in real time. This new technology
reduces what has previously been a days-long manual process of
identifying and generating signatures for unknown applications to
mere seconds, quickly providing the visibility and control
organizations require to operate their networks securely.  
The increasing volume of new, network-based applications and the
speed at which they are introduced to users pose a major challenge to
organizations as they try to monitor and secure their networks.
Mobile applications magnify this problem, especially given the
prolific use of smartphones, tablets and the like at work. In this
environment, IT professionals are charged with identifying
applications on their organization's network, and then generating a
signature for each. Since this reverse-engineering process has
historically been conducted manually, application identification and
signature generation has commonly taken days or even weeks, leaving
unidentified applications to linger and compromise a network's
Narus addresses the shortcomings of manual reverse engineering with
its new machine learning application identification and parsing
technology. Leveraging the principles of Cyber 3.0, which apply
machine learning to cybersecurity, lends a higher degree of
visibility, control and context to cyber activity. This new
technology replaces human intervention in the reverse-engineering
process. Patented algorithms automatically identify the presence of
unknown applications and generate their corresponding signatures and
labels in seconds. Most importantly, this technology enhances the
capabilities of previously deployed network and security
technologies, which can now incorporate these signatures. The
technology eliminates any negative impact of new network-based
applications, and delivers the visibility today's organizations
require for efficient and secure network operation. 
"The sheer volume of new applications and protocols on the network is
tremendous, and will only continue to increase in today's
hyper-connected world," said John Trobough, president, Narus. "The
ability to detect and identify them quickly is an important
ingredient of maintaining control and ensuring security of critical
assets. Narus' Application Whitelisting Technology enables the
automatic discovery and classification of these new applications and
protocols in seconds, ensuring organizations can always stay ahead of
potential threats."  
Narus' new Application Whitelisting Technology is available
immediately for licensing. It will also be on display at the Narus
booth, No. 1841, at the RSA Conference 2013 in San Francisco. Please
visit the RSA website to register for the event. 
About Narus
 Narus, a wholly owned subsidiary of The Boeing Company
(NYSE: BA), is a pioneer in cybersecurity. Narus is one of the first
companies to apply patented advanced analytics to proactively
identify cyber threats from insiders and outside intruders. The
innovative Narus nSystem of products and applications is based on the
principles of Cyber 3.0, where the semantic Web and cyber intersect.
Using incisive intelligence culled from big data analytics, Narus
nSystem identifies, predicts and characterizes the most advanced
security threats, empowering organizations to better protect their
critical assets. Narus counts governments, carriers and enterprises
around the world among its growing customer base.  
The company is based in the heart of Silicon Valley, in Sunnyvale,
Narus, Inc. 
Lucia Mikasa 
BOCA Communications
Brigit Valencia
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