Money laundering has been a global issue for decades, which is one of the major threat for
economy and society. Government, regulatory and financial institutions are combating it …

Purpose Money laundering continues to emerge as a transnational phenomenon that has
harmful consequences for the global economy and society. Despite the theoretical and …

The banking, financial services, and insurance (BFSI) sector is one of the earliest and most
prominent adopters of artificial intelligence (AI). However, academic research substantially …

Blockchain-based cryptocurrencies, such as Bitcoin (BTC) and Ethereum (ETH), are newly
emerging financial assets. Cryptocurrency exchanges are marketplaces for cryptocurrency …

Purpose The purpose of this study provide answers to the following research questions:
Whether and to what extent money laundering affects the achievability and the trend of …

Purpose With the growing interconnectedness of global markets brought about by
globalization and technological innovation, there is a heightened worldwide risk of money …

The fraudulent insurance claim is critical for the insurance industry. Insurance companies or
agency platforms aim to confidently estimate the fraud risk of claims by gathering data from …

This research investigates how the problem of money laundering (ML) can be detected in
Saudi Arabia with supervised machine learning, specifically at two levels: the establishment …

Monitoring financial transactions is a critical Anti-Money Laundering (AML) obligation for
financial institutions. In recent years, machine learning-based transaction monitoring …

This article studies the development of a reliable AI model to detect fraudulent bank
transactions, including money laundering, and illegal activities with goods and services. The …