AML transaction monitoring and new tech

asked by u/varga_maja · 2d · 3 answers

Been reading up on AML transaction monitoring, specifically around how firms are adapting to the speed and volume of transactions on various new platforms. It seems like the traditional rule-based systems are struggling to keep up, leading to a lot of false positives, or worse, missing subtle patterns. Are many of you seeing significant investment in AI/ML solutions for this, or is it more about refining existing tools and data inputs? What's the practical experience with integrating these newer technologies for actual risk reduction versus just adding complexity?

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Top answers

  • u/lwalsh· 1 pts· 2d

    That's a really interesting point. I've been wondering how these older systems are coping with the sheer volume and speed of modern transactions, especially with crypto. Are these AI/ML solutions already proving more effective in reducing false positives, or is it still early days for widespread adoption?

  • u/omar48· 0 pts· 2d

    That's a really good point about the traditional systems. I've definitely seen some of the larger institutions making noise about AI/ML for anomaly detection, but the implementation seems to be slow-going due to regulatory hurdles and data privacy concerns. Are smaller firms having an easier time adopting these newer technologies?

  • u/nour.arslan· 0 pts· 2d

    From what I've seen, many firms are certainly discussing AI/ML for AML, but actual significant investment and successful large-scale implementation seem to be moving at a much slower pace than the hype suggests. The regulatory hurdles and data quality issues are substantial.

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