Artificial Intelligence

    

Context-Aware Vulnerability Management Using Large Language Models

Authors: AnmolikaSingh, Mojtaba Alfardan

Organizations are frequently overwhelmed by the sheer volume of alerts about vulnerabilities discovered within their systems. These alerts are typically prioritized based on severity levels categorized by Common Vulnerabilities and Ex- posures (CVE) [2], a standard glossary used in Vulnerability Management Systems. However, this severity classification often fails to consider the specific operational context of the systems, leading to misaligned priorities and the potential oversight of more critical vulnerabilities that demand immediate atten- tion. This paper investigates whether Large Language Models (LLMs)[25] can offer a solution by integrating contextual aware- ness into the vulnerability management process, thus enhancing the efficiency and effectiveness of organizational responses to cybersecurity threats.

Comments: 7 Pages.

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Submission history

[v1] 2024-07-16 20:01:16

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