School of Computer Science & Engineering, California State University, San Bernardino | United States
Siddhant Srinivas is an emerging researcher in artificial intelligence and Cybersecurity, currently pursuing a Bachelor of Science in Computer Science with a minor in Data Science at the School of Computer Science & Engineering, California State University, San Bernardino. As the first author of a publication under Dr. Alzahrani’s AI Research Lab, he has made significant contributions to advancing AI-driven Security Operations Centers (SOC). His research encompasses the development of a taxonomy of large language models (LLMs) and AI agent applications within SOC workflows, the creation of a capability-maturity model illustrating the transition from manual to autonomous SOC operations, and comparative analyses of conventional versus AI-augmented methodologies. His published work in MDPI reflects his growing impact in the field, with an h-index of 1, one research document, and a citation count of 3. Siddhant’s ongoing project focuses on enhancing university SOC alert triage systems using LLMs and AI agents, emphasizing the integration of trustworthy, explainable, and secure AI. Dedicated to bridging the gap between AI innovation and cybersecurity resilience, he continues to explore intelligent automation and defense mechanisms for next-generation digital infrastructures.
Featured Publications
Srinivas, S., Kirk, B., Zendejas, J., Espino, M., Boskovich, M., Bari, A., Dajani, K., & Alzahrani, N. (2025). AI-augmented SOC: A survey of LLMs and agents for security automation. Journal of Cybersecurity and Privacy, 5(4), 95.