Ensuring Financial System Sustainability: Combating Hybrid Threats through Anti-Money Laundering and Counter-Terrorist Financing Measures

Author:

Korauš Antonín1ORCID,Jančíková Eva2ORCID,Gombár Miroslav3ORCID,Kurilovská Lucia4,Černák Filip3

Affiliation:

1. Academy of the Police Force in Bratislava, Sklabinská 1, 835 17 Bratislava, Slovakia

2. Faculty of International Relation, University of Economics in Bratislava, Dolnozemská cesta 1, 852 35 Bratislava, Slovakia

3. Faculty of Management and Business, University of Prešov in Prešov, Konštantínova 16, 080 01 Prešov, Slovakia

4. Faculty of Law, The Comenius University in Bratislava, Šafárikovo nám. 6, 818 06 Bratislava, Slovakia

Abstract

This paper deals with ensuring the sustainability of the financial system and combating hybrid threats in relation to anti-money laundering and counter-terrorist financing (AML/CTF) measures. International cooperation in the field of combating hybrid threats is only at the beginning, and in many ways, the experience of international cooperation in the fight against money laundering and terrorist financing, which is based on many years of experience in the institutional and legislative fields, could be used. Hybrid threats are constantly changing and evolving, which means our response to them must also constantly evolve and adapt. The aim of the presented study is the analysis of the problem of the legalization of income from criminal activity and the financing of terrorism and their possible relationship with the fight against hybrid threats and maintaining the stability of the financial system.

Funder

Increasing Slovakiaߣs resistance to hybrid threats by strengthening public administration capacities

Publisher

MDPI AG

Subject

Finance,Economics and Econometrics,Accounting,Business, Management and Accounting (miscellaneous)

Reference59 articles.

1. Aho, Aleksi, Midões, Catarina, and Šnore, Arinis (2020). Hybrid Threats in the Financial System, The European Centre of Excellence for Countering Hybrid Threats.

2. Alarab, Ismail, Prakoonwit, Simant, and Nacer, Mohamed Ikbal (, January June). Competence of graph convolutional networks for anti-money laundering in bitcoin blockchain. Paper presented at 2020 5th International Conference on Machine Learning Technologies, Beijing, China.

3. Alessa, R. (2024, January 25). Webinar-An Executive Guide on How to Use Machine Learning and AI for AML Compliance. Available online: https://www.youtube.com/watch?v=k46.

4. Money laundering in selected emerging economies: Is there a role for banks?;Journal of Money Laundering Control,2021

5. Anti-money laundering systems: A systematic literature review;Alsuwailem;Journal of Money Laundering Control,2020

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