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Press Release

Norman Shark Sees Major Revenue Stream With Blue Coat Partnership

SAN DIEGO, CA--(Marketwired - Nov 26, 2013) - Norman Shark, the global security leader in malware analysis solutions for enterprises, service providers and government entities, sees as much as a 50% increase in revenue this year and expects to more than double their revenue by 2016 according to the company's announcement in this week's blog "Blue Coat and Norman Shark partner to provide comprehensive threat protection to the enterprise."

Blue Coat announced their selection of Norman Shark's Malware Analyzer G2 (MAG2), to provide advanced sandboxing technology as a key component of their new Content Analysis System, which offers a lifecycle approach to advanced threat protection. With the addition of MAG2's technology to Blue Coat's platform, customers will be able to detect and analyze unknown threats, and use actionable intelligence to fortify their gateway defenses. The product is a highly scalable, automated malware analysis solution, which includes the award-winning SandBox technology and IntelliVM modules, enabling enterprises to analyze up to 50,000 files per day. The exponential growth in malware, and the amount of malware penetrating perimeter defenses will create increased demand for ATP solutions that include automated malware analysis capability according to the blog.

The blog also points out the fact that IDC just sized the market for 'Specialized Threat Analysis and Protection' (STAP) and named Norman Shark as a key player in this emerging category. IDC expects this segment to swell from $200 million worldwide in 2013, to $1.017 billion by 2017.

About Norman Shark
Norman Shark is a global leader and pioneer in proactive network security solutions and forensics malware tools. Norman Shark's proactive antimalware solutions, including malware analysis tools, network security and industrial control system protection, are powered by patented Norman SandBox® technology and used by security solutions providers around the world.

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