Role of AI for Fraud Detection in Banks: A Bibliometric Analysis

The rise of digital banking and online transactions has led to an increase in fraudulent activities within the banking sector. Traditional fraud detection methods are no longer sufficient to detect fraudsters. This paper explores bibliometric analysis on Scopus database. 66 documents were obtained from Scopus Database. India was the prominent country in citation. 64% documents have been published after 2019. There is increase in research interest after the onset of Covid pandemic. It was found that AI-based fraud detection systems outperform traditional methods for fraud detection. The paper provides inputs for further studies to develop framework for AI fraud detection in banks.