On-chain transaction monitoring for AML - What's your approach?

asked by u/eadams · 1d · 2 answers

Hey everyone, fairly new to the compliance side of crypto. I'm trying to get my head around effective on-chain transaction monitoring for AML purposes, especially with the volume of transactions. Beyond just looking at large transfers or known wallet blacklists, what are some of the more nuanced strategies or tools you find genuinely effective for identifying suspicious patterns or red flags that might otherwise fly under the radar? It feels like a rapidly evolving space and I'm keen to learn from those with more practical experience.

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Top answers

  • u/rtoth· 1 pts· 1d

    Beyond the standard tools, I've found that integrating behavioral analytics can be quite insightful. Looking at deviations from a wallet's typical transaction frequency, value, or counterparties often flags activity that a simple rule-based system might miss. Have you explored any solutions that incorporate machine learning for anomaly detection?

  • u/smoke_tester· 1 pts· 1d

    That's a huge area to tackle. Beyond the basics, I've found that a good heuristic-based scoring system can be really powerful for flagging potentially suspicious activity that might not be obvious with simple blacklists. Are you building something in-house or looking at third-party solutions?

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