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  • Company (that provides the nominated product / solution / service): Deep Instinct
  • Website: http://www.deepinstinct.om
  • Company size (employees): 40
  • Country: Israel
  • Type of solution: Software

In 3 bullets, summarize why this product or service 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.

Description

Rather than just detecting, Deep Instinct prevents zero-day and APT attacks in the areas that are the most vulnerable in the organization. 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 predictive. Deep Instinct provides comprehensive defense that is designed to protect against known and unknown malware in real-time, across an organization’s:
– Endpoints: Any OS (Windows, Linux, OS X), any file type, real-time, on-device protection
– Servers: Any OS (Windows Server, Linux), real-time protection, seamless deployment
– Mobile devices; Any OS (Android, iOS), any device, BYOD-compliant, real-time, on-device protection

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 in November 2015. It is currently available for large enterprises across various industries.

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