Company Filing History:
Years Active: 2023-2024
Title: Nirmal Singh: Innovator in Machine Learning for Cybersecurity
Introduction
Nirmal Singh is a prominent inventor based in Mohali, India. He has made significant contributions to the field of cybersecurity through his innovative use of machine learning technologies. With a total of two patents to his name, Singh is recognized for his efforts in enhancing the detection of malicious executable files.
Latest Patents
Nirmal Singh'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 system utilizes a trained machine learning model to inspect static properties of files in the production traffic, classifying the traffic as either malicious or benign based on the model's analysis. 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 method involves obtaining training data that includes samples of both benign and malicious executable files, extracting features from this data, and using them to train a machine learning model for detecting malicious files.
Career Highlights
Nirmal Singh is currently employed at Zscaler, Inc., a company known for its cloud security solutions. His work at Zscaler has allowed him to apply his innovative ideas in a practical setting, contributing to the company's mission of providing secure internet access.
Collaborations
Some of Nirmal Singh's notable coworkers include Changsha Ma and Naveen Selvan. Their collaboration in the field of cybersecurity has further advanced the development of effective security solutions.
Conclusion
Nirmal Singh's contributions to the field of machine learning and cybersecurity are noteworthy. His innovative patents demonstrate a commitment to enhancing the detection of malicious software, making significant strides in protecting users and organizations alike.