Blue Hexagon Named to CNBC Upstart 100 List of “World’s Most Promising Startups”

Business Network Recognizes Deep Learning Innovator as a Disruptive Company Changing the Cybersecurity Landscape

Blue Hexagon, a deep learning innovator in cyberthreat protection, has been named to CNBC’s Upstart 100 list of “the world’s most promising startups to watch,” highlighting disruptive companies that are growing rapidly due to innovative products and services.

Every year, CNBC selects 100 startups that have the potential to transform industries and become tomorrow’s household names for their Upstart 100 List. The 2019 Upstart 100 List was chosen from more than 600 venture-backed companies globally; each was scored in eight categories, including scalability, sales growth, user and customer growth, workforce diversity, access to capital and community, intellectual property, and industry size and industry lifecycle stage.

The CNBC Upstart 100 honor adds to Blue Hexagon’s significant momentum this year. In September, the company was named to the Forbes AI 50 list as one of “America’s Most Promising Artificial Intelligence Companies. In October, Blue Hexagon earned a perfect score in network threat protection by the independent malware testing lab PCSL with a 100% detection efficacy, 0% false positive rate, and 125 ms average detection time when tested against more than 2 million malicious and benign samples. And in August, Blue Hexagon achieved an industry first by launching the ability to detect and prevent threats hidden in encrypted SSL traffic in real time.

“Recognition from CNBC as an Upstart 100 reinforces our belief that deep learning is transforming our world and the way we secure the enterprise from today’s most sophisticated and automated malware,” said Nayeem Islam, CEO, Blue Hexagon. “Our team’s passion and commitment to innovation has enabled Blue Hexagon to make great strides in our first year of operation and we are confident that this is just the beginning of turning the tide against the global threat posed by hackers and insidious malware.”

Modern malware is more adaptive than ever, and new variants are being created at a rate of more than 4 per second. The Blue Hexagon real-time deep learning platform addresses the limitations of perimeter defenses like intrusion detection systems (IDS) and sandboxes that cannot keep up with the daily onslaught of malicious malware variants. The company’s deep learning-powered network threat protection platform is proven to be greater than 99.5% effective, detecting known and unknown threats in less than a second, and setting a new standard for cyber defense.

To learn more about how Blue Hexagon uses deep learning to detect and thwart malware in real-time, please visit

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