Review of Generative AI Methods in Cybersecurity
arxiv(2024)
摘要
Large language models (LLMs) and generative artificial intelligence (GenAI)
constitute paradigm shifts in cybersecurity that present hitherto unseen
challenges as well as opportunities. In examining the state-of-the-art
application of GenAI in cybersecurity, this work highlights how models like
Google's Gemini and ChatGPT-4 potentially enhance security protocols,
vulnerability assessment, and threat identification. Our research highlights
the significance of a novel approach that employs LLMs to identify and
eliminate sophisticated cyber threats. This paper presents a thorough
assessment of LLMs' ability to produce important security insights, hence
broadening the potential applications of AI-driven cybersecurity solutions. Our
findings demonstrate the significance of GenAI in improving digital security.
It offers recommendations for further investigations into the intricate
relationship between cybersecurity requirements and artificial intelligence's
potential.
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