15, July 2025

Deploying Large Language Models in Cyber security: From Threat Detection to Vulnerability Management and Incident Mitigation

VOLUME-11; ISSUE-7; JULY-2025

Author(s): 1 Dr. Sharanabasavaraj H Angadi, 2 Nehabanu H Harlapur

Authors Affiliations:

1Professor, HOD, Department of Computer Science and Engg., R.T.E Society’s Rural Engineering College Hulkoti / VTU Belgavi,  Gadag , Karnataka, India

2Assitant Professor, Department of Computer Science and Engg., R.T.E Society’s Rural Engineering College Hulkoti / VTU Belgavi,  Gadag , Karnataka, India

DOIs:10.2015/IJIRMF/202507011     |     Paper ID: IJIRMF202507011


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Abstract: Large Language Models (LLMs) are transforming cyber security by improving threat detection, incident management, and vulnerability mitigation. With their ability to analyze large volumes of unstructured data, LLMs can effectively identify and predict new threats, examine security logs, and automate security tasks more efficiently than traditional methods. This paper investigates the potential of LLMs in cyber security, focusing on applications such as phishing detection, vulnerability management, and real-time incident response. It also discusses challenges such as model transparency, resistance to adversarial attacks, and privacy issues, highlighting the importance of further research to optimize their use in protecting digital systems.      
Key Words: Large Language Models (LLMs), threat detection, phishing detection, vulnerability management, and real-time incident response

Dr. Sharanabasavaraj H Angadi,  Nehabanu H Harlapur  (2025); Deploying Large Language Models in Cyber security: From Threat Detection to Vulnerability Management and Incident Mitigation, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-11, Issue-7, Pp.61-70.          Available on –   https://www.ijirmf.com/

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