How Deep Learning Techniques Can Combat Money Laundering by Organized Crime Groups in South Asia’s Banking Channels

Money laundering poses a significant threat to the economic stability andsecurity of nations, particularly in regions like South Asia. The evolving nature of money laundering demands advanced technologies to enhance detection and prevention mechanisms. One such advanced technology is deep learning, which has the ability to analyze vast datasets, identify patterns, and adapt to evolving financial crime tactics. This article explores the increasing use of deep learning as a powerful tool in the fight against money laundering orchestrated by organized crime groups in South Asia and addresses the primary challenges associated with employing deep learning techniques for combating money laundering. This article contributes to the discourse on enhancing anti-money laundering efforts in the South Asia region by proposing the adoption of cutting-edge deep learning methodologies within banking institutions to mitigate the threat posed by organized crime groups engaged in illicit financial activities.