Market Overview

During Black Hat USA 2020, Cythereal Named Winner as Top 100 Cybersecurity Startup


Cythereal predicts and prevents malware through automation using Machine Learning and AI to detect variants in code. Their Cyber Genome Technology automates analysis and delivers predictive prevention so you can react faster to stop the newest most dangerous attacks against your infrastructure.

LAS VEGAS (PRWEB) August 07, 2020

Cythereal, cybersecurity industry's most innovative malware detection company, today announced that it has been named a Top 100 Cybersecurity Startup for 2020.

Cythereal competed against many of the industry's hot startups in cybersecurity for this prestigious award. Cyber Defense Magazine searched the globe and found over 3200 cybersecurity companies with nearly 30% in the startup range having been incorporated within the last 36 months or releasing their first round of innovative cybersecurity products and services.

"We're pleased to name Cythereal as a winner among the Top 100 Cybersecurity Startups for 2020 in our second annual Black Unicorn awards. This award showcases those companies like Cythereal with this kind of incredible potential in the cybersecurity marketplace," said Judges Robert R. Ackerman Jr. of, David DeWalt of, and Gary Miliefsky of

"This award is a testament to the incredible research driven and supported by the DARPA Cyber Genome Project. The IP developed under that project by our CTO, Dr. Arun Lakhotia, drives our innovative new platform which detects and attributes zero-day malware faster than any other solution. Our capability for automated custom countermeasures, developed by Dr. Lakhotia, will be launched later this year. I'm pleased to say our initial deployments have demonstrated that we give Cythereal customers a marked advantage in their speed of analysis and creation of predictive protection," said James Hess, CEO of Cythereal.

About Cythereal, Inc.

Cythereal's purpose is to secure businesses worldwide from the rising threat of targeted cyber-attacks, so they can focus on what they do best – run their business. Our vision is to neutralize the attacker's asymmetric advantage by extracting intelligence from the attacker's failed attempts using the most recent advances in mathematical and statistical reasoning.

Our mission is to be the leader in predicting and preventing advanced malware based attacks by leveraging code sharing and reuse in malware. Our products and services are developed on research that was sponsored by the US Department of Defense and independently evaluated by MIT Lincoln Labs. Learn more about us at

About Cyber Defense Awards

This is Cyber Defense Magazine's 8th year of honoring cybersecurity innovators, in this case the Black Unicorn Awards for 2020 on our Cyber Defense Awards platform. In this competition, judges for these prestigious awards include cybersecurity industry veterans, trailblazers and market makers Gary Miliefsky of CDMG, Robert R. Ackerman Jr. of Allegis Cyber and David DeWalt of NightDragon with much appreciation to emeritus judge Robert Herjavec of Herjavec Group. To see the complete list of Top 100 Cybersecurity Startups for 2020 please visit

About Cyber Defense Magazine

Cyber Defense Magazine was founded in 2012 by Gary S. Miliefsky, globally recognized cyber security thought leader, inventor and entrepreneur and continues to be the premier source of IT Security information. We are managed and published by and for ethical, honest, passionate information security professionals. Our mission is to share cutting-edge knowledge, real-world stories and awards on the best ideas, products and services in the information technology industry. We deliver electronic magazines every month online for free, and limited print editions exclusively for the RSA, BlackHat and IPEXPO conferences and our limited edition paid reprint subscribers. Learn more about us at Cyber Defense Magazine is a proud member of the Cyber Defense Media Group.

For Media Inquiries:

James Hess, CEO

Cythereal, Inc.

For the original version on PRWeb visit:

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