Cybersecurity Promises Mean Nothing Without Integrity

Anyone who has seen my recent video interview with TAG Cyber LLC's Edward Amoroso [Watch Video] would hear me talking very openly about the lies and, excuse my frankness, crap that we are being sold today in the cyber community. Every company is the "first" or the only ones doing "AI", but not all AI is created equal and many are not even able to do what they claim to do. For years companies were claiming to "prevent" cyber attacks but what they were doing wasn't really preventing. They may have been detecting and responding, or sandboxing code to be dealt with later. But there was no real-time prevention, until AI made it possible.

This week, I was very happy to see that Blue Hexagon announced their B round and have 'come out of stealth-mode', and I greatly welcome new players to the cyber security space. Whatever we can do together as an industry to minimize risks and attacks is always welcome. But we need to present a unified front, always be truthful and of course always show integrity. 

When a company claims to be the "Industry’s First Real-Time, Deep Learning Platform for Network Threat Protection," [Read Release] and they are not the first and they are not the only ones doing real-time threat prevention. By making such claims, they only leave people wondering what is true and what is embellished and if anything we are selling is in fact "real."

Deep Instinct has been on the market for 4 years already, since 2015 in fact. We built our framework (Read Blog: For Effective Cybersecurity a Generic Deep Learning Framework Just Isn't Enough] for deep learning from the ground up, because we realized that a generic deep learning framework would never have been enough. Many years went into developing and honing that framework so that we could provide the best end-point and mobile prevention and detection-and-response solution for our customers. 

We are a multi-award winning company, In 2016 we were recognized as being a Gartner Cool Vendor [Gartner], and recognized as the Most Innovative Startup in the Best of Blackhat awards, awarded by the Dark Reading editors [Blackhat]. In 2017, we were 'Most Disruptive Startup at the NVIDIA 2017 Inception awards [Watch Video], and also in 2018 awarded the Infosec Cyberdefence Magazine Award for AI and ML (See More).

Not just that, but we have an established market in multiple regions worldwide including, the US, Israel, APAC, Australia and NZ and we are growing all the time. You can see multiple use-cases from our more than 400 clients around the globe on our website. Not to mention the fact that Deep Instinct have a protected register patent on the implementation of deep learning in EPP and Network.

Finally, in December recently gone, a whole 2 months before Blue Hexagon's supposed release to the market as the "first real-time deep learning...," we announced the release of our updated and so-far most sophisticated D-Brain, Deep Instinct's Deep Learning-based malware detection and prevention engine [Read Blog]. Now with new capabilities and improved performance, as part of our continued efforts to provide the best malware prevention and detection available.

In summary. Competition is welcome, if not also healthy, and to be honest competition is needed. I simply think we have to really be real. If we cannot maintain integrity and dignity, how can we expect the industry to believe that we have the solutions to fix the problems we claim to have the solutions to fix.