Douglas A Koch

Title: Innovations by Douglas A. Koch

Introduction

Douglas A. Koch is an accomplished inventor based in Santa Clara, CA. He has made significant contributions to the field of machine learning, holding a total of four patents. His work focuses on enhancing the efficiency and privacy of machine learning models, which are increasingly vital in today's data-driven world.

Latest Patents

One of his latest patents is titled "Machine learning model abstraction layer for runtime efficiency." This patent describes systems and methods that involve receiving a trained machine learning model, monitoring traffic inline at the node, and obtaining a verdict on the traffic based on the trained model. The process culminates in performing an action on the traffic based on the verdict. Another notable patent is "Building a Machine Learning model without compromising data privacy." This invention outlines methods for obtaining file identifiers associated with files in production data and utilizing lab data from public repositories of malware samples for training a machine learning process. This approach ensures that data privacy is maintained while effectively classifying malware.

Career Highlights

Douglas A. Koch is currently employed at Zscaler, Inc., where he continues to innovate in the field of cybersecurity and machine learning. His expertise has positioned him as a key player in developing solutions that address modern challenges in data security.

Collaborations

Throughout his career, Douglas has collaborated with talented individuals such as Rex Shang and Dianhuan Lin. These partnerships have fostered an environment of innovation and creativity, leading to the development of groundbreaking technologies.

Conclusion

Douglas A. Koch's contributions to machine learning and data privacy are noteworthy and impactful. His patents reflect a commitment to advancing technology while prioritizing user privacy and efficiency. His work at Zscaler, Inc. continues to shape the future of cybersecurity.