Md Rasel Al Mamun

The paper proposes an automated, LLM-enabled threat hunting framework integrated with Splunk to help SOC analysts autonomously monitor evolving threats and prioritize suspicious network traffic.

This paper evaluates and compares HAZOP and Bow-Tie analysis, demonstrating that while both are useful for cyber risk assessment in hydropower, a coordinated adversary can bypass conventional safeguards by compromising shared network infrastructure.

The paper proposes a management framework, using a governed AI query-broker artifact, to safely integrate generative AI into high-risk operational decision support, such as Security Operations Centers (SOCs).