“We have successfully implemented an end-to-end deep learning system for malware detection, which proves that deep learning can potentially revolutionize any field, even if its application is not straightforward,” remarks Guy Caspi, CEO of Deep Instinct. Since its inception, Deep Instinct has architected solutions that preclude zero-day threats and advanced persistent threat (APT) attacks for endpoint devices and mobile. By leveraging deep learning from the ground up, Deep Instinct has significantly improved the accuracy of threat detection over the past few years. This is the result of continuous training of deep neural networks at the company headquarters. By feeding these networks with huge datasets of malicious and legitimate files, Deep Instincts brings a comprehensive and unique cyber-intelligence solution to the table. Through deep learning, the firm obtains a better and higher detection rate (of malicious files) and a much lower false positive rate (of legitimate files) in its solutions compared to its competitors.
Deep Instinct’s purview of cybersecurity is proactive and the firm’s approach is deeply intertwined with the maxim ‘expecting the next unexpected attack to prevent it.’ Deep Instinct provides real-time protection to endpoint devices using a lightweight agent without impacting the user experience.
Through deep learning, the firm obtains a better and higher detection rate and a much lower false positive rate
Essentially, three components comprise Deep Instinct’s solution portfolio. D-Brain is the core component of the deep learning cybersecurity solution. This is hosted in the Deep Instinct headquarters and is a deep neural network that is constantly fed with malware datasets to develop real-time cyber-threat intelligence capabilities. Utilizing all the updates from D-Brain, D-Appliance provides an intuitive, powerful, visualization, and management tool that configures organization’s security policy and enables thorough threat monitoring. D-Client combines the work done by aforementioned components and that transcends into a lightweight, connectionless, real-time cyber-threat prevention solution. D-client proactively scans devices as per the policies outlined by D-Appliance and ensures the safe upkeep of all endpoints across the organization. It is because of such defined segmentation that Deep Instinct’s solutions were able to heighten its accuracy and bolster system performance.
Being the flag bearer of deep learning based cybersecurity solutions, Deep Instinct’s innovative approach towards cybersecurity has attracted a wide and variegated clientele. As per Caspi, the firm’s solutions, had typically monitored and averted umpteen threats that evaded detection by other cybersecurity solutions. This has strengthened the firm’s stance in the landscape and resulted in a higher customer satisfaction rate.
Caspi affirms that deep learning certainly is going to re-model the cybersecurity landscape in the impending years and that would attribute to its widespread use. “Our company’s vision is to accord due thrust on developing additional deep learning based solutions within cybersecurity,” Caspi concludes.