Rakshitha Hedge

Title: Innovations by Rakshitha Hedge in Machine Learning

Introduction

Rakshitha Hedge is an accomplished inventor based in Bengaluru, India. She has made significant contributions to the field of machine learning, particularly in the detection of malicious executable files. With a total of two patents to her name, her work showcases the intersection of technology and cybersecurity.

Latest Patents

Rakshitha's latest patents focus on utilizing machine learning to efficiently and effectively detect malicious executable files. The first patent describes systems and methods that include performing inline monitoring of production traffic between users, the Internet, and cloud services via a cloud-based system. This involves utilizing a trained machine learning model to inspect static properties of files in the production traffic and classifying the traffic as either malicious or benign based on the trained model. The second patent outlines a method for determining a plurality of features associated with executable files, based on static properties in a predefined structure. This includes obtaining training data with samples of both benign and malicious executable files, extracting features from this data, and using these features to train a machine learning model for detection purposes.

Career Highlights

Rakshitha currently works at Zscaler, Inc., where she continues to innovate in the field of cybersecurity. Her expertise in machine learning has positioned her as a valuable asset to her team and the broader tech community.

Collaborations

Some of her notable coworkers include Changsha Ma and Nirmal Singh, who contribute to the collaborative environment that fosters innovation at Zscaler.

Conclusion

Rakshitha Hedge's work in machine learning and cybersecurity exemplifies the vital role of innovation in protecting digital environments. Her patents reflect a commitment to advancing technology for safer online experiences.