Gilad Zahavi

Title: Innovations by Gilad Zahavi in Cyber Threat Intelligence

Introduction

Gilad Zahavi is an accomplished inventor based in Herzliya, Israel. He has made significant contributions to the field of cyber security, particularly in the area of cyber threat intelligence. His innovative approach combines machine learning with natural language processing to enhance the effectiveness of threat detection and response.

Latest Patents

Zahavi holds a patent for "Systems and methods for using machine learning models for improved and customized cyber threat intelligence." This patent outlines a method and system designed to produce a custom threat actor score. The system receives generic cyber threat intelligence (CTI) and analyzes it using a natural language processor to generate cyber-attack parameters. A generic score is calculated based on these parameters. Additionally, new data of interest (NDI) is collected from enterprises and processed through a machine learning model to generate analyzed NDI data terms. The natural language processor is then updated with these terms to create an enhanced NLP engine, which generates custom cyber-attack parameters from CTI sources. Ultimately, a custom threat score is calculated by combining the cyber-attack parameters with the custom parameters.

Career Highlights

Zahavi is currently associated with Cognyte Technologies Israel Ltd., where he continues to develop innovative solutions in cyber security. His work focuses on leveraging advanced technologies to improve the accuracy and relevance of cyber threat intelligence.

Collaborations

Zahavi collaborates with various professionals in the field, including his coworker Mickael Soussan. Together, they work on enhancing the capabilities of their systems and methodologies.

Conclusion

Gilad Zahavi's contributions to cyber threat intelligence through his innovative patent demonstrate his commitment to improving security measures in an increasingly digital world. His work exemplifies the intersection of technology and security, paving the way for more effective threat detection and response strategies.