This paper provides a comprehensive review of the future of cybersecurity through Generative AI and Large Language Models (LLMs). It explores LLM applications across various domains, including hardware design security, intrusion detection, software engineering, design verification, cyber threat intelligence, malware detection, and phishing detection. The study also evaluates the performance of 42 LLM models in cybersecurity knowledge and hardware security, highlighting their strengths and weaknesses.
