1 AIT Asian Institute of Technology

Leveraging generative AI to enhance efficiency in SOC analyst's log analysis and incident response

AuthorSaw Kapaw Say
Call NumberAIT ISPR IOT no.25-01
Subject(s)Computer security
Computer networks--Security measures
Artificial intelligence
NoteAn Internship Study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Internet of Things (IoT) Systems Engineering
PublisherAsian Institute of Technology
AbstractIn the rapidly evolving landscape of cybersecurity, Security Operations Centers (SOCs) play a critical role in defending organizations against cyber threats. SOC Tier 1 ana lysts, however, are often overwhelmed by the sheer volume of security alerts generated by monitoring tool like Wazuh. The repetitive and time-consuming nature of processing these alerts can lead to analyst fatigue, decreased efficiency, and a heightened risk of missing critical threats. This project focuses on enhancing SOC analysts’ efficiency by integrating an existing generative AI model to enrich security logs and provide action able insights. Rather than developing a new AI model, the project will leverage a proven generative AI solution to reduce the cognitive load on analysts, and at the same time, it will enable them to concentrate on more complex and strategic tasks. The research will assess the impact of this integration on the accuracy and effectiveness of security operations, aiming to contribute to a more resilient and responsive cybersecurity environment.
Year2025
TypeInternship Report
SchoolSchool of Engineering and Technology
DepartmentDepartment of Information and Communications Technologies (DICT)
Academic Program/FoSInternet of Things (IoT) Systems Engineering
Chairperson(s)Attaphongse Taparugssanagorn;Kalika Suksomboon (Co-chairperson)
Examination Committee(s)Chantri Polprasert;Chaklam Silpasuwanchai
Scholarship Donor(s)AIT Scholarships
DegreeInternship Report (M. Eng.) - Asian Institute of Technology, 2025


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