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In an era where cyberspace is both a battleground and a backbone of modernsociety, the urgency of safeguarding digital assets against ever-evolvingthreats is paramount. This paper introduces Cyber Sentinel, an innovativetask-oriented cybersecurity dialogue system that is effectively capable ofmanaging two core functions: explaining potential cyber threats within anorganization to the user, and taking proactive/reactive security actions wheninstructed by the user. Cyber Sentinel embodies the fusion of artificialintelligence, cybersecurity domain expertise, and real-time data analysis tocombat the multifaceted challenges posed by cyber adversaries. This articledelves into the process of creating such a system and how it can interact withother components typically found in cybersecurity organizations. Our work is anovel approach to task-oriented dialogue systems, leveraging the power ofchaining GPT-4 models combined with prompt engineering across all sub-tasks. Wealso highlight its pivotal role in enhancing cybersecurity communication andinteraction, concluding that not only does this framework enhance the system'stransparency (Explainable AI) but also streamlines the decision-making processand responding to threats (Actionable AI), therefore marking a significantadvancement in the realm of cybersecurity communication.

Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4