Derek A Soeder

Title: **Derek A. Soeder: Innovator in Malware Detection Technologies**

Introduction

Derek A. Soeder, a prominent inventor based in Irvine, CA, has significantly contributed to the field of cybersecurity with an impressive portfolio of 46 patents. His innovations focus on using advanced machine learning techniques to enhance malware detection and instruction sequence classification.

Latest Patents

Among Derek's latest patents is a system for malware detection, which includes a method for training a neural network adapted for classifying one or more scripts. This innovative system utilizes a processor and memory to execute program code that processes disassembled binary files. By employing a convolutional neural network, the system detects specific sequences of instructions within the binary files to classify their security status.

Another notable patent involves a machine learning model specifically designed for analyzing instruction sequences. Similar to his malware detection patent, this system processes instruction sequences with a trained machine learning model to identify interdependencies among tokens. The classification determined by this analysis provides valuable insights for cybersecurity applications.

Career Highlights

Derek A. Soeder has made significant strides in the tech industry, primarily through his role at Cylance Inc., a leading company known for its advancements in cybersecurity. His groundbreaking work has solidified his reputation as an expert in leveraging machine learning for security solutions.

Collaborations

Throughout his career, Derek has collaborated with talented individuals such as Matthew Wolff and Ryan Permeh. Together, they have worked on various innovative projects, driving advancements that merge technology with cybersecurity to better protect against evolving threats.

Conclusion

Derek A. Soeder exemplifies the spirit of innovation in the tech industry, particularly in the realm of cybersecurity. His contributions through various patents demonstrate his commitment to enhancing malware detection and classification techniques. As he continues to advance in his career, his work will undoubtedly influence the future of cybersecurity and inspire new generations of inventors.