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A Comprehensive System Review of Large Language Models Utilization in Cybersecurity

Year: 2025

Type: article

Abstract: Large Language Models (LLMs) have emerged as powerful tools in the realm of cybersecurity, enabling advancements in areas such as threat detection, vulnerability assessment, and security automation. This review provides an in-depth analysis of LLM applications in cybersecurity, highlighting both the opportunities and challenges associated with their deployment. The paper addresses issues related to bias, interpretability, and adversarial robustness while proposing future research directions. Drawing on a comprehensive set of references, the review underscores the transformative potential of LLMs in enhancing cybersecurity practices.

Source: International Journal of Research in Engineering Science and Management

Authors: De Queiroz, Hermano Jorge, Omar, Marwan

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W7217077354

FWCI:

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