research article
Using Large Language Models to Discover and Manage Cybersecurity Threats and Software Vulnerabilities
Vol. 2 , Issue 2 (2024) · pp. 87-94
Abstract
The rapid growth of digital systems has significantly increased the complexity and frequency of cybersecurity threats and software vulnerabilities. Traditional security mechanisms often struggle to detect sophisticated, evolving attacks in a timely manner. Recent advances in Large Language Models (LLMs) offer new opportunities to enhance cybersecurity by enabling intelligent analysis of large volumes of unstructured data, including logs, vulnerability reports, threat intelligence feeds, and source code. This study explores the application of LLMs in discovering, analyzing, and managing cybersecurity threats and software vulnerabilities.
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