IGLOO SECURITY, INC. Increases Efficiency of Security Control Work Acquiring Patents Related to Artificial Intelligence

– Create and apply optimized security policies in real time using machine learning algorithms

– Incorporating AI security control solutions that require accurate high-risk event screening

[February 13, 2020] Igloo Security Co., Ltd. (CEO Deuk-Choon Lee, www.igloosec.co.kr/en) acquired a patent (Registration No. 10-2055843) for 'Event-based Security Policy Real-Time Optimization System and its Method' that improves the efficiency of security alert analysis using machine learning algorithm. Igloo Security will apply this patented technology to AI security monitoring solutions that require accurate high-risk event screening to enhance its ability to respond to advanced cyber breach attempts.

As the complexity of cyber attacks increases, so does the number of security events that security personnel must analyze. However, it is not easy to apply optimal security policies in real time to keep pace with rapidly changing IT environments and attack flows. In fact, failing to update security policies on exponentially increasing security events in a timely manner has resulted in more false positives, resulting in delayed threat response.

The patent acquired by Igloo Security Co., Ltd. uses machine learning algorithms to create and apply optimized security policies in real time, eliminating the need for security personnel to update the optimal filter values for each security policy through environment analysis and to secure security events. The focus is on minimizing false positives. The machine learning algorithm learns the preprocessed logs to create an event-based security policy, regularly derives and evaluates optimal filter values and automatically applies them.

Igloo Security plans to apply this patented technology to SPiDER TM AI Edition, an AI security monitoring solution. The machine learning algorithm differs from the correlation analysis that performs analysis based on a specific condition set by a person in that the learning algorithm automatically makes an optimal standard through learning and applies the optimal security policy automatically. Security officers can improve the effectiveness of security monitoring tasks by quickly and accurately selecting high-risk events that need to be responded based on optimal security policies applied in real time through machine learning algorithms.

The CEO of Igloo Security(Deuk-Choon Lee) said “As we continue to see more advanced cyber threats, the amount of security events that security personnel need to analyze is growing exponentially. We expect that the patented technology, which can apply the optimal security policy in real time, will raise the security event analysis and detection rate, thereby enhancing the response to advanced cyber breach attempts. ”​​