The Impact of Generative AI and LLMs on the Cybersecurity Profession

Abstract

This paper explores the evolving role of Generative AI (GenAI) and Large Language Models (LLMs) in cybersecurity. The motivation behind this research is the rapid advancement of GenAI technologies and their potential implications for cybersecurity professionals. This work focuses on assessing how GenAI and LLMs influence cybersecurity practices, including both the opportunities and risks they present. It specifically examines the use of GenAI in cybersecurity, its functions and industries, and the potential impact on the profession. The methodology involves conducting semi-structured interviews with eight cybersecurity professionals to gather insights on their experiences and perspectives regarding GenAI and LLMs. This qualitative approach allows for a deep exploration of the subjective experiences of these professionals in their work environments. The results indicate a cautious approach towards the adoption of GenAI in cybersecurity. While some professionals have begun to utilize these technologies, there are concerns regarding ethical and safety considerations, information security, and the potential for GenAI to influence the nature of cyber threats. The findings highlight the need for a balanced approach that recognizes the potential of GenAI while addressing the associated risks.

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