Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4
Mehrdad Kaheh, Danial Khosh Kholgh, Panos Kostakos

TL;DR
Cyber Sentinel is a novel GPT-4 powered dialogue system designed to improve cybersecurity by explaining threats and executing security actions, enhancing communication, transparency, and decision-making in cybersecurity operations.
Contribution
This work introduces a task-oriented cybersecurity dialogue system using chaining GPT-4 models and prompt engineering, advancing AI-driven cybersecurity communication and response capabilities.
Findings
Enhances cybersecurity communication and interaction
Improves transparency through explainable AI
Streamlines decision-making and threat response
Abstract
In an era where cyberspace is both a battleground and a backbone of modern society, the urgency of safeguarding digital assets against ever-evolving threats is paramount. This paper introduces Cyber Sentinel, an innovative task-oriented cybersecurity dialogue system that is effectively capable of managing two core functions: explaining potential cyber threats within an organization to the user, and taking proactive/reactive security actions when instructed by the user. Cyber Sentinel embodies the fusion of artificial intelligence, cybersecurity domain expertise, and real-time data analysis to combat the multifaceted challenges posed by cyber adversaries. This article delves into the process of creating such a system and how it can interact with other components typically found in cybersecurity organizations. Our work is a novel approach to task-oriented dialogue systems, leveraging the…
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Taxonomy
TopicsTopic Modeling · Explainable Artificial Intelligence (XAI) · Artificial Intelligence in Healthcare and Education
