การตรวจสอบธุรกรรมบนเครือข่ายเพื่อการป้องกันและปราบปรามการฟอกเงิน - คุณมีแนวทางอย่างไร?

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?

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?