Year: 2024
Type: article
Abstract: 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.
Author: Khatoon Mohammed
Institution: Cairo University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4402548462