Addressing Insider Threats: The Human Factor in Cybersecurity for Financial Institutions

Financial institutions face persistent cybersecurity threats, with insider threats emerging as a particularly complex challenge due to their human-centric nature. This study aims to examine the human factor in cybersecurity within financial institutions, with a focus on insider threats and strategie...

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Bibliographic Details
Main Authors: Hewa Majeed Zangana, Harman Salih Mohammed, Mamo Muhamad Husain
Format: Article
Language:English
Published: Pusat Penelitian dan Pengabdian Masyarakat (P3M), Politeknik Negeri Cilacap 2025-06-01
Series:Journal of Innovation Information Technology and Application
Subjects:
Online Access:https://ejournal.pnc.ac.id/index.php/jinita/article/view/2686
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Summary:Financial institutions face persistent cybersecurity threats, with insider threats emerging as a particularly complex challenge due to their human-centric nature. This study aims to examine the human factor in cybersecurity within financial institutions, with a focus on insider threats and strategies to mitigate them. A hybrid research approach was used, combining a systematic literature review (SLR) and qualitative case study analysis to investigate cybersecurity risks, AI-driven solutions, and regulatory compliance. The findings reveal that AI-powered tools—such as behavioral biometrics, machine learning, and blockchain technologies—substantially enhance fraud detection and risk management. Real-world implementations in financial institutions demonstrated improved threat response, reduced regulatory penalties, and increased operational efficiency. The study concludes that integrating technological tools with a strong cybersecurity culture can significantly mitigate insider threats.
ISSN:2716-0858
2715-9248