August 7, 2025Journal of Money Laundering Control

Analysis of the main techniques and tools to combat money laundering: a review of the literature

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The review analyzes 45 studies, highlighting a shift from traditional statistics to machine learning for anti-money laundering.
Key challenges identified include the impact of cryptocurrencies and the balance between detection, privacy, and scalability.
Findings reveal significant variation in methods across different operational contexts, indicating a need for more direct comparison studies.
The research emphasizes the importance of adapting anti-money laundering models to specific contexts, regulatory frameworks, and data-sharing capabilities.

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Implication

Systematic review shows a shift towards machine learning and network analysis in anti-money laundering, suggesting new regulatory frameworks are needed.

Cite This Study

Castelao-López et al. (2025) studied this question.

synapsesocial.com/papers/689dfe90d61984b91e13bbf7 https://doi.org/10.1108/jmlc-10-2024-0159

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Implication

Systematic review shows a shift towards machine learning and network analysis in anti-money laundering, suggesting new regulatory frameworks are needed.

Analysis of the main techniques and tools to combat money laundering: a review of the literature

Key Points

Discussion

Implication

Cite This Study

Analysis of the main techniques and tools to combat money laundering: a review of the literature

Key Points

Discussion

Implication

Cite This Study