This inventor holds 2 USPTO granted patents and 1 EPO patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2017.
Company Filing History:
Years Active: 2017
Title: Keerthi Selvaraj: Innovator in Lateral Movement Detection
Introduction
Keerthi Selvaraj is an accomplished inventor based in Cupertino, CA. He has made significant contributions to the field of cybersecurity, particularly in the area of lateral movement detection. With a total of 2 patents, his work is recognized for its innovative approach to enhancing security measures.
Latest Patents
One of Keerthi's latest patents focuses on lateral movement detection. This invention employs various detection models to score logon sessions. The models utilize counts computed from historical security event data. They include probabilistic intrusion detection models that identify compromised behavior based on logon behavior, sequences of security events, inter-event times, and attempts to log on using explicit credentials. The scores generated for each logon session are combined to create a ranking score. This process allows for the generation of a list of ranked alerts to identify compromised accounts and machines. Additionally, an attack graph can be automatically generated to visually display probable paths of an attacker.
Career Highlights
Keerthi Selvaraj is currently employed at Microsoft Technology Licensing, LLC. His role involves developing advanced security technologies that protect organizations from cyber threats. His innovative work has positioned him as a key player in the cybersecurity landscape.
Collaborations
Keerthi has collaborated with talented individuals such as Nguyen Song Khanh Vu and Aniruddha Das. These partnerships have fostered a creative environment that encourages the development of cutting-edge security solutions.
Conclusion
Keerthi Selvaraj's contributions to lateral movement detection exemplify his commitment to enhancing cybersecurity. His innovative patents and collaborations reflect his dedication to protecting organizations from potential threats.