The Blue Hexagon deep learning models inspect the complete network flow - payloads, headers, malicious URLs and C2 communications - and are able to deliver threat inference in less than a second, according to the company. It looks at a packet as they flow through the network and applies deep learning. The company's deep learning platform focuses on threats that pass through the network, Islam explained. "People have networking infrastructure, and we sit behind the traditional defenses and provide an additional layer of defense that's how you would deploy us." "The automation that deep learning provides reduces the amount of human intervention needed to detect threats," he said. Other companies use deep learning and related forms of AI in cybersecurity software, including IBM Watson for Cybersecurity, Deep Instinct and Darktrace.ĭeep learning is unique because it determines what's good and bad by looking at network flows, Islam said. The Sunnyvale, Calif., network security provider emerged from stealth mode earlier this year. And, at the same time, we were also recognizing that these techniques were not being used in computer security," Islam said. "What we were recognizing was that deep learning was having a significant impact on image and speech recognition. Deep learning and neural network technology are some of the most advanced techniques that can be used to help defend an enterprise from the velocity and volume of modern-day threats, Islam said. Nayeem Islam, chief executive and co-founder of Blue Hexagon and the former head of Qualcomm research and development, said he believes automated threat defense is the future of security. "Now, we have a lot more visibility than we ever did." "Blue Hexagon was able to find it right away and alert us, so we were able to take that server offline," he said.
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