The application of artificial intelligence (AI) across various industries has undeniably made significant improvements in the digital era. Deep Learning (DL), an AI methodology, is propelling the high-tech industry to the future with a seemingly endless list of possibilities. With the capability to interpret and make complex decisions based on data, AI technologies have enabled tasks or processes to function with human-like intelligence, enhancing the speed of and innovating business operations and adding valuable user experiences. The cybersecurity industry is one of the many sectors that have greatly benefited from AI. If done efficiently, the application of AI can provide cybersecurity solutions an improved capability to detect a wide range of threats, including brand-new or unclassified ones. Guy Casp and his team of technology enthusiasts identified this opportunity to create an innovative security solution by harnessing the potential of AI. The team then laid the foundation of Deep Instinct—a leading security solutions provider—is the first company to apply deep learning to cybersecurity. “Our study shows that the sophistication of attacks has grown with advanced evasive tactics that make detection much more difficult. Our system is autonomous, can operate offline, and has the lowest rate of false positives of any cybersecurity solution,” begins Guy Caspi, CEO & Co-Founder, Deep Instinct.

The company’s unique solution—Deep Learning—is inspired by the brain’s ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, Deep Instinct’s artificial brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. As a result, zero-day and APT attacks are detected and prevented in real-time with unmatched accuracy. Deep Instinct brings a completely new approach to cybersecurity that is proactive and predictive. Deep Instinct provides a comprehensive defense that is designed to protect against the most evasive unknown malware in real-time, across an organization’s endpoints, servers, and mobile devices. Deep learning’s capabilities of identifying malware from any data source result in comprehensive protection on any device, any platform, and operating system.

Injecting AI and Deep Learning

“There are 500,000 new malware attacks every day. But in the last two years, there have been only six new end-to-end malware vectors developed by governments. 99.9 percent of the new attacks are a slight variation of one of these six. Because we operate a neural network that does not access the cloud, we can identify these threats and keep them from executing the attack,” Caspi adds. The company applies artificial intelligence’s deep learning to cybersecurity. Leveraging deep learning’s predictive capabilities, Deep Instinct’s on-device solution protects against zero-day threats and APT attacks with unmatched accuracy.

Deep Instinct safeguards the enterprise’s endpoints and/or any mobile devices against any threat, on any infrastructure, whether or not connected to the network or the Internet. By applying deep learning technology to cybersecurity, enterprises can now gain unmatched protection against unknown and evasive cyber-attacks from any source. Deep Instinct brings a completely new approach to cybersecurity enabling cyber-attacks to be identified and blocked in real-time before any harm can occur.

Using a proprietary deep learning framework, Deep Instinct offers a zero-time threat prevention platform with multi-layer protection against any known or unknown threat from any file or fileless attack. Unlike detection and response-based solutions, which wait for the execution of the attack to react, or post-execution which achieves too little too late, the company’s Deep Learning based prevention-centric approach keeps customers protected, while dramatically reducing costs.

The Blend of Expertise

Deep Instinct’s highly experienced and interdisciplinary team of leading deep-learning scientists, ex-IDF, and special Israeli cyber units are revolutionizing cybersecurity technology by applying deep learning. The cybersecurity team includes veterans of the Israel Defense Forces’ cyber units, National Intelligence units, and executives from top global cybersecurity companies. “Our advanced deep learning algorithms and prediction models are developed by an interdisciplinary team of experienced mathematicians, data scientists, and deep learning experts who hold PhDs and/or MScs and have domain expertise in operational cybersecurity,” points Caspi.

While explaining the value proposition of the company, Caspi talks about an instance when the company assisted a client to enhance their protection against ransomware, seeing that their traditional antimalware was not up to the task. Having first tried another vendor’s product but finding it obtuse, overly-complex, and finding that it completely ignored some traditional lower-risk, the client looked for alternative vendors. The client was immediately impressed by Deep Instinct’s underlying deep-learning AI tech. The client’s environment is majority macOS, which has historically been only a minor target of malware, but that could change at any time. However, they also have a critical minority of Windows endpoints, extremely vulnerable to ransomware and other threats. Organizations similar in size to ours have suffered massive damage in the recent past. Deep Instinct has performed as expected, catching every next-gen threat thrown at it, handles traditional threats well, and all while having a minimal impact on endpoint performance. Deep Instinct’s console provides clear and understandable information and has only gotten better with recent updates. The endpoint clients are easily deployable en masse on both macOS and Windows.

Under the Hood

Since its inception, under the guidance ofGuy Caspi, Deep Instinct has been creating a revolution in the cybersecurity space with one of the most innovative solutions available in the industry today. Caspi has spearheaded companies in senior positions through entire life cycles; from start-up, accelerate growth and up to IPO in Nasdaq. His in-depth knowledge in computer science Deep Learning AI assimilation in Cyber Security & Big Data Analysis, combined with a unique strong Go-To-Market execution experience are the key factors that are driving Deep Instinct to success today.

The Road Ahead

Deep Instinct, the leader in deep learning-based cybersecurity, is the first company to back its product with a performance guarantee that ensures an incredibly low false positive rate, plus a ransomware warranty that is three times higher than any other cybersecurity company – up to $3 million per company for a single breach. With dramatically lower levels of false positive alerts, security teams can be much more efficient, lowering total cost of ownership (TCO).“We are offering a level of protection for our customers that goes beyond anything on the market today,” saysCaspi.

Deep Instinct endpoint protection reduces the likelihood of a cybersecurity breach, and saves significant time managing endpoints by using a proactive method of threat prevention, where most threats are stopped before reaching the execution stage, according to the commissioned study.In the coming year, the company is targeting a market opportunity as large as $17 billion that’s growing at roughly a 15 percent average annual rate — and the company is growing much faster than that. “We’re raising the stakes when it comes to the level of actionable and accurate information that security teams can count on, allowing them to be more productive in their ongoing battle against cyber attacks – and backing that with a warranty. That’s our mission and vision,” concludes Caspi.