Blue Hexagon Announces Real-Time, Deep Learning Platform for Network Threat Protection

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According to a recent press release, “Blue Hexagon, a deep learning innovator focused on protecting enterprises from cyberthreats, launched today with $31M in funding from Benchmark and Altimeter, and unveiled the industry’s first real-time, deep learning cybersecurity platform for network security. Blue Hexagon is proven in customer environments to detect known and unknown network threats at first encounter—with speed, efficacy, and coverage that sets a new standard for cyber defense. In fact, the platform demonstrated nearly 100% detection rates against daily malware samples, including zero day malware variants, automatically delivering a verdict and blocking threats in sub-seconds.”

The release goes on, “The company was founded by two renowned machine learning and security experts: CEO Nayeem Islam and CTO Saumitra Das. Islam is former head of Qualcomm R&D while Das, former engineering leader at Qualcomm, is a prolific inventor with 330 worldwide and 125 U.S. patents granted, and an additional 450 patents pending. The Blue Hexagon team also includes threat researchers and deep learning experts who were responsible for category-defining products at FireEye, Palo Alto Networks, Symantec, and Amazon. ‘With four new, unique malware samples released every second, traditional security methods can’t keep pace with the speed and scale of hacker innovation,’ Islam said. ‘A new approach is needed, and recent advancements in deep learning make it the ideal technology to address the velocity and volume of attacks. Blue Hexagon is applying our expertise in deep learning to detect network threats at all times, in sub-seconds, and at wire speed’.”

Read more at Business Wire.

Image used under license from Shutterstock.com

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