The purpose of this article is to analyze the potential of technological innovations in the system of combating money laundering and terrorism financing (AML/CTF) amid the digitalization of the financial sector. The study aims to explore opportunities for enhancing the effectiveness of AML/CTF measures through modern technologies while identifying their implementation constraints. Key areas of digital transformation are examined, including the adoption of artificial intelligence, big data processing technologies, blockchain, and solutions in the fields of RegTech (regulatory technology) and SupTech (supervisory technology), which facilitate process automation and optimization. The article provides a classification of these technologies based on their functional roles in AML/CTF, such as automating transaction monitoring, identifying suspicious activities, and ensuring the transparency of financial flows. Special attention is given to institutional and legal barriers to digitalization in Russia, including inconsistent legislation, limited data access, high implementation costs, and insufficient expertise among specialists. These factors hinder the integration of innovations into the financial sector. Based on the analysis, recommendations are proposed for improving the regulatory framework, including the development of standards for integrating digital solutions and promoting public-private partnerships. The importance of developing domestic technological platforms capable of competing with foreign counterparts is emphasized, alongside measures to mitigate risks related to cyber threats, data breaches, and ethical issues associated with artificial intelligence. The article underscores the need for a comprehensive approach to AML/CTF digitalization, taking into account technological, legal, and socio-economic factors, to ensure the security and sustainable development of the financial system while addressing new challenges in the context of global digitalization.
Aguzarova et al. (Wed,) studied this question.
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