LLM-driven automation in vulnerability management

The integration of Large Language Models (LLMs) into vulnerability management processes marks a transformative shift in cybersecurity. By automating the identification, prioritization, and remediation of vulnerabilities, LLMs enhance the efficiency and accuracy of these critical tasks. This chapter explores the potential of LLM-driven automation in vulnerability management, highlighting the benefits, challenges, and future directions of this technology. It delves into the methods through which LLMs can be leveraged to mitigate security risks, improve response times, and reduce human error, thereby strengthening overall security postures.