The study explores the use of technology in fraud risk detection in commercial banks in Kenya: a
case of Equity bank focusing on four technologies: Artificial Intelligence, Data Analytics,
Biometrics and Machine Learning. As the banks continues to digitize it is important to
understand how these technologies are useful in fraud detection in banks. Routine Activity
theory and Fraud triangle theory formed the theoretical framework. The study employed primary
data issuing questionnaires to respondents within Equity bank. The independent variables were
AI, Data analytics, Biometrics and Machine Learning while fraud risk detection was the
dependent variable. Findings showed that Biometrics and Machine Learning were crucial in
fraud risk detection and AI and Biometrics were equally important in fraud detection and
management. Therefore, the study advices commercial banks to invest more on the digitization
of their systems to help combat the fraud pandemic in commercial banks.