Deep Instinct has been known to be the first company to apply deep learning to cyber security. With a team that includes veterans of special cyber units in the Israel Defence Forces, and other executives who are alumni of top security vendors from across the globe, Deep Instinct has managed to excel in not only detection but prevention of cyber attacks as well. Constant monitoring helps Deep Instinct identify and block threats in real-time before any harm can occur. More emphasis is given to prevention of attacks, rather than disaster management post an attack.
Deep Instinct’s areas of expertise extend to comprehensive protection on any device, platform, and operating system. The organization’s existing infrastructure allows for fast and straightforward deployment and does not require any modifications to be made to it. Recent trends indicate that the best security applications are those that consolidate the best features of different cyber security applications. Where Deep Instinct triumphs over other organizations are in the fact that they have the unique capability to predict and prevent APT attacks and Zero Day attacks. In addition to that, using the deep learning technology, Deep Instinct has gone on to become the first company in the world to offer a single platform that supports multiple operating systems like endpoint, mobile, EDR, etc.
“Deep Instinct has a method in place to classify last milliseconds, making the decisions to be on the spot without having any load on the machine with calculations of heuristics and the likes.”
Deep Instinct also boasts of 4 patents with more than 150 different claims. The organization is also the first in the world to submit deep learning cyber security patents. Deep Instinct’s Founder and CEO, Guy Caspi is proud of the fact that the organization is all geared up to apply for more patents in the upcoming months. Having led some of the largest government cyber and big data projects, Caspi currently has 20 years of experience under his belt. This includes the application of mathematics and AI in the Israel Defense Forces, and other financial institutions and intelligence organizations around the world. He is ably aided by Dr. Eli David, better known as the developer of Falcon, a grandmaster-level chess playing program (based on genetic algorithms and deep learning) and by Nadav Maman as the VP of Product Management. The former is a leading expert in the field of computational intelligence, specializing in deep learning and evolutionary computation, while the latter brings in 15 years of experience in customer-driven businesses and technical leadership.
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To keep a check on competition, Deep Instinct splits the competition into three main areas: detection rate and false positive, performance and ease of management. The organization has constantly been striving towards enhancing the detection rate and lowering the false positive in comparison to their competitors. Deep Instinct has a method in place to classify last milliseconds, making the decisions to be on the spot without having any load on the machine with calculations of heuristics and the likes. In order to facilitate ease of management, Deep Instinct supports many platforms in one unified management console. To clearly identify the malware type, additional information on the events occurring on the devices are provided.
A major highlight in Deep Instinct’s track record has been the prevention of the last three major ransomware attacks – Spora, NotPetya, and WannaCry. This successfully let customers go on with their day to day business with no harm. This seems more significant because of other security solutions, on the other hand, failed to block these attacks. The days ahead in competition seem quite bright for Deep Instinct, considering the fact that almost 90% of companies provide detection capabilities alone, and that most businesses still rely on ineffective, signature-based/Heuristics/Machine learning antivirus. Deep Instinct aims at replacing all of that with its advanced technology that provides prevention capabilities on an endpoint, servers, and mobile as well.