Aviad Cohen

Title: Aviad Cohen: Innovator in Cybersecurity and AI

Introduction

Aviad Cohen is a notable inventor based in Meitar, Israel, recognized for his contributions to the fields of cybersecurity and artificial intelligence. With a total of three patents to his name, Cohen has developed innovative techniques that enhance the security and efficiency of computer networks.

Latest Patents

Cohen's latest patents include "Automated Generation of Labeled Training Data," which describes techniques for creating labeled datasets to train AI models in identifying cyberattacks. This patent outlines a process that involves simulating a cyberattack on a target computer network and generating attack log files that provide valuable data for training AI models. Another significant patent is "Anomaly Detection of Entity Behavior," which details a method for analyzing usage data by entities within computing resources. This method includes extracting feature vectors, generating a feature matrix, and modifying usage values based on the behavior of neighboring entities.

Career Highlights

Aviad Cohen is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in cybersecurity and AI. His work focuses on developing advanced solutions that address the growing challenges in these fields. Cohen's innovative approaches have positioned him as a key player in the tech industry.

Collaborations

Cohen collaborates with talented individuals such as Yair Allouche and Ravid Sagy, who contribute to his projects and enhance the overall innovation process.

Conclusion

Aviad Cohen's work exemplifies the intersection of cybersecurity and artificial intelligence, showcasing his commitment to advancing technology. His patents reflect a deep understanding of the challenges faced in modern computing environments, making him a significant figure in the innovation landscape.