SOURCE: Narus, Inc.

Narus, Inc.

February 28, 2013 09:00 ET

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 - Feb 28, 2013) - 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 integrity.

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, Calif.

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