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Generative AI and LLMs in Cybersecurity: Applications and Vulnerabilities

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🛡️✨ Generative AI and Large Language Models Transform Cybersecurity Landscape. A comprehensive review highlights the applications and vulnerabilities of Generative AI and Large Language Models (LLMs) in cybersecurity. The paper examines LLM uses in areas such as intrusion detection, malware detection, and cyber threat intelligence, while also addressing vulnerabilities like prompt injection and data poisoning. It evaluates the performance of 42 LLM models, identifying strengths and weaknesses in cybersecurity knowledge. Additionally, the review discusses innovative strategies for enhancing LLM capabilities, including techniques like Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation. The findings aim to inform future cybersecurity frameworks, emphasizing the need for robust model deployment to counter evolving cyber threats.

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