Editors’ Note

Guy Caspi is a leading mathematician and a data scientist global expert. He has 15 years of extensive experience in applying mathematics and machine learning in a technology elite unit of the Israel Defense Forces (IDF), financial institutions, and intelligence organizations around the world. Caspi holds B.Sc., M.Sc., and M.B.A. degrees in Mathematics, Machine Learning, and Business from leading universities in Israel and the U.S.

Would you discuss your vision and mission for creating Deep Instinct?

Deep Instinct was established for two main reasons: First, we noticed a gap in the market, as many existing cybersecurity companies have data security in their DNA but they only offer alerts on attacks rather than the ability to block them. Beyond the issue of false alerts, being inundated by alerts and threats does not solve the problem. It might have been sufficient in the past, but it can no longer meet the bottom-line needs of organizations, which are now focused on blocking attacks.

Threat prevention that focuses on sandboxing and behavioral analysis does not necessarily solve the problem either because the degree of sophistication of the malware continues to increase. Deep Instinct was established to prevent cyber-attacks before any harm can happen.

Second, we wanted to create a product that would protect the most vulnerable areas of an organization: unknown threats and attacks that are most difficult to block in real time. In today’s cybersecurity landscape, it is clear that an organization cannot be protected just by locking the door, especially when there is no longer a defined perimeter to secure. Deep Instinct protects the endpoints, the servers, and the mobile devices: the last line of defense that is most important to the organization. The fence, door, and window will always be broken into, but the safe must be unbreakable. We protect the safe against any attackers, especially new and sophisticated ones.

Furthermore, our objective is not just to bring a minor improvement in detection, but to substantially increase the protection rate. To deliver proper protection, a cybersecurity solution must be able to handle threats and attacks that have never been seen before. This is our core competence as deep learning enables this capability. We train our neural networks in a unique way, leveraging our deep learning expertise and our elite research team that hails from the top research military units.

In terms of our positioning in today’s crowded cybersecurity landscape, we see great potential in partnering with EDR/AV vendors mainly because our go-to-market is based on augmentation rather than replacement of other solutions that protect the end points from known threats.

Would you provide an overview of the services and solutions you offer?

The exponential growth of zero-day threats on a daily basis and the absence of a comprehensive solution to handle APT (advanced persistent threat) attacks has caused companies to follow a “not if but when” approach to breaches.

Deep Instinct focuses on unknown and APT attacks: instead of waiting for the next unexpected attack, the next unknown attack is identified and blocked in real time before any harm can occur. Deep learning’s capabilities of identifying malware from any data source results in comprehensive protection on any device, platform, and operating system, filling in gaps of niche solutions.•