- Website: http://www.deepinstinct.com
- Company size (employees): 50
- Country: Israel
In 3 bullets, summarize why this company is different from the competition and deserves recognition:
1- New approach: Deep Instinct brings a proactive and predictive approach to cybersecurity. Threats are identified and blocked in real-time before any harm can occur. Protection focuses on prevention instead of on post-attack crisis management. Deep learning's capabilities of identifying malware instinctively result in comprehensive protection on any device, platform, and operating system. Deployment on the organization's existing infrastructure is fast, straightforward, and does not require any modification to the existing infrastructure.
2- Our core technology: deep learning. As reflected in its name, Deep Instinct provides instinctive protection using deep learning technology. An advanced branch of artificial intelligence, 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, as Deep Instinct's artificial brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. As a result, zero-day threats and APT attacks are immediately detected with unmatched accuracy and prevented.
3- Our team: at the meeting point of deep learning and cybersecurity, the company's interdisciplinary group holds Ph.D. and M.Sc. degrees in mathematics and has a wealth of experience in cybersecurity. The application of deep learning is currently not widespread because the entry barrier to develop a deep learning-based technology is very high. There are very few experts in this novel domain of artificial intelligence. Deep Instinct's dedicated deep learning research group is headed by Dr. Eli David, one of the leading researchers in the field of computational intelligence.
In less than 300 words, summarize the achievements of the company in the nominated category
The exponential growth of zero-day threats on a daily basis and the absence of a comprehensive solution to handle APT attacks has caused companies to follow a “not if but when” approach to breaches. Many solutions only protect a single part of the enterprise’s cybersecurity ecosystem, leaving critical gaps in overall protection. Legacy solutions generate reactive, time-consuming handcraft signatures. Newer sandboxing solutions or even machine learning-based solutions provide more sophisticated solutions but their detection capabilities, albeit higher, are still lacking. With the evolution of hackers’ abilities, enterprises’ reliance on post-attack investigation and incident response plans cannot detect new attacks before the damage is done.
Deep Instinct is the first company to apply deep learning to cybersecurity. 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, as Deep Instinct artificial brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. As a result, zero-day and APT attacks are prevented in real-time with unmatched accuracy. Deep Instinct brings a completely new approach to cybersecurity that is proactive and data-agnostic. Deep Instinct provides comprehensive defense that is designed to protect against known and 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 results in comprehensive protection on any device, platform, and operating system, filling in gaps of niche solutions.
Deep Instinct launched its commercially available product on November 3, 2015. It is currently available for large enterprises in various industries such as financial institutions, healthcare organizations, telecommunications and ecommerce.