Annually, money laundering activities threaten the global economy. Proceeds of these activities may be used to fund further criminal activities and to undermine the integrity of financial systems worldwide. For these reasons, money laundering is recognized as a critical risk in many countries. There is an emerging interest from both researchers and practitioners concerning the use of software tools to enhance detection of money laundering activities. In the current economic environment, regulators struggle to stay ahead of the latest scam, and financial institutions are challenged to ensure that they can identify and stop criminal activities, while ensuring that legitimate customers are served more effectively and efficiently. Effective technological solutions are an essential element in the fight against money laundering. Improved data and analytics are key in assisting investigators to focus on suspicious activities. Continually evolving regulations, together with recent instances of money laundering violations by some of the largest financial institutions, have highlighted the need for better technology in managing anti-money laundering activities. This study explores the use of visualization techniques that may assist in efficient identification of patterns of money laundering activities. It demonstrates how link analysis may be applied in detecting suspicious bank transactions. A prototype application (AML²ink) is used for proof-of-concept purposes.

每年，洗钱活动威胁着全球经济。这些活动的收益可用于资助进一步的犯罪活动，并破坏全球金融体系的完整性。由于这些原因，洗钱在许多国家被认为是重大风险。研究人员和从业人员都对使用软件工具增强对洗钱活动的检测产生了兴趣。在当前的经济环境中，监管机构很难在最新的骗局上保持领先地位，金融机构面临的挑战是确保其能够识别和制止犯罪活动，同时确保更有效地为合法客户提供服务。有效的技术解决方案是打击洗钱活动的基本要素。改进的数据和分析是协助调查人员专注于可疑活动的关键。不断发展的法规以及一些最大的金融机构最近违反洗钱的案例，突显了在管理反洗钱活动中需要更好的技术。这项研究探索了可视化技术的使用，这些技术可能有助于有效地识别洗钱活动的模式。它演示了如何将链接分析应用于检测可疑的银行交易。原型应用程序（AML 强调了在管理反洗钱活动中需要更好的技术。这项研究探索了可视化技术的使用，这些技术可能有助于有效地识别洗钱活动的模式。它演示了如何将链接分析应用于检测可疑的银行交易。原型应用程序（AML 强调了在管理反洗钱活动中需要更好的技术。这项研究探索了可视化技术的使用，这些技术可能有助于有效地识别洗钱活动的模式。它演示了如何将链接分析应用于检测可疑的银行交易。原型应用程序（AML²墨水）用于概念验证。