About

Balamurugan Rajagopalan is a highly skilled Principal Research Engineer with over 13 years of relevant experience in the cybersecurity industry. He is currently working at Palo Alto Networks, where he is responsible for leading research and development projects related to cybersecurity and threat detection. Prior to joining Palo Alto Networks, Balamurugan worked at FireEye, where he held several key positions, including Senior Staff Research Scientist and Staff Vulnerability Researcher. During his time at FireEye, he developed a patent-granted Deep Convolution Neural Network Model to detect phishing web pages and a Recurrent Neural Network Model to detect DGA's and malicious email subjects. He also played an instrumental role in the development of IPS Signature Development and Automation, which helped to enhance the company's threat detection capabilities. Balamurugan's expertise in cybersecurity is further strengthened by his educational background. He holds a Master of Science degree in Computer Engineering with a specialization in Security and Assurance Track from Syracuse University, as well as a Bachelor of Engineering degree in Computer Science from Anna University. Balamurugan's technical skills are diverse and impressive, including proficiency in Research Scientist, BERT, AI, Kubernetes, MongoDB, and Kafka. He has a proven track record of building correlation engines by parsing events from multiple spoke products and using graphdb #neptune, simulating lateral movement attack scenarios for correlation, and building AI models to identify duplicate alerts and reduce alert fatigue problems. In summary, Balamurugan Rajagopalan is a highly skilled and experienced Principal Research Engineer with a passion for cybersecurity. His expertise and technical skills make him a valuable asset to any team, and his dedication to staying up-to-date with the latest industry developments ensures that he is always at the forefront of cybersecurity innovation.