AI in Cybersecurity: A Case Study of Network Protection in Uganda’s Financial Institutions

Mugisha Emmanuel K.

Faculty of Science and Technology Kampala International University Uganda

ABSTRACT

The rise of digital banking and financial technologies has transformed the financial sector in Uganda, but it has also increased vulnerability to cyber threats. Cybersecurity challenges such as phishing, malware, ransomware, and insider threats have posed significant risks to banks and other financial institutions. Artificial Intelligence (AI) has emerged as a critical tool for enhancing cybersecurity through predictive analytics, real-time threat detection, and automated incident response. This review examines the applications of AI in protecting networks within Uganda’s financial sector, analyzing the effectiveness of machine learning algorithms, intrusion detection systems, and anomaly detection tools. Through a combination of case studies, policy analysis, and technology assessment, this article explores how AI mitigates cyber risks, identifies implementation challenges, and highlights opportunities for improving resilience against cyberattacks. The findings underscore the potential of AI-driven cybersecurity frameworks to safeguard financial data, optimize threat response, and strengthen regulatory compliance in Uganda.

Keywords: Artificial Intelligence, Cybersecurity, Financial Institutions, Uganda, Network Protection.

CITE AS: Mugisha Emmanuel K. (2026). AI in Cybersecurity: A Case Study of Network Protection in Uganda’s Financial Institutions. IDOSR JOURNAL OF COMPUTER AND APPLIED SCIENCES 11(1):1-5. https://doi.org/10.59298/JCAS/2026/1111500