Effect of Artificial Intelligence on Cybercrime Rate in the Nigeria Banking Sector

This study investigates the effect of artificial intelligence on cybercrime in the Nigerian banking sector. Specifically, the study examines the influence of user authentication, transaction monitoring, and secure communication channels on cybercrime in the Nigerian banking sector. The study is anchored on the Technology Acceptance Model (TAM3) and the Fraud Diamond Theory. A survey research design was adopted, and data were collected through structured questionnaires administered to staff of selected deposit money banks in Nigeria. The study employed descriptive statistics and multiple regression analysis to analyze the data. The empirical findings revealed that user authentication, transaction monitoring, and secure communication channels have significant negative effects on cybercrime in the Nigerian banking sector. The study concludes that artificial intelligence plays a crucial role in strengthening cybersecurity frameworks and enhancing fraud-prevention mechanisms within the Nigerian banking sector. Based on the findings, the study recommends that deposit money banks should increase investment in artificial intelligence technologies, strengthen authentication mechanisms, and adopt advanced transaction monitoring systems to mitigate cybercrime threats and protect financial transactions effectively.