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最近一直在深入研究AML监控的挑战，特别是随着更多样化、非传统的支付通道的出现。我们看到跨境支付显著增加，有时涉及监管框架不那么健全的司法管辖区，或者利用新的数字资产轨道。感觉我们多年来一直接受培训的标准风险信号，虽然仍然相关，但并不总能捕捉到这些不断变化的格局中的全部风险。
我很好奇听听合规或风险领域的其他人怎么说——你们正在积极寻找或围绕哪些新的模式或行为异常来开发模型，这些模式或行为异常偏离了“经典”的AML指标？在这些新型通道中，除了通常的大额、高频或地理风险因素之外，是否有特定类型的交易或用户行为让你们敲响了警钟？我正在努力了解其他人是如何调整他们的检测策略的。
Agreed. The old playbooks are increasingly irrelevant, especially when you factor in DeFi and truly borderless transactions. How are you even defining "jurisdiction" anymore for some of these? Seems like a losing battle without a significant tech overhaul to track the actual flow, not just the reported entry/exit points.
Completely agree; the traditional red flags are increasingly insufficient. Are you finding a need to develop entirely new behavioral profiles, or just adapt existing ones to new data points?
Completely agree; traditional red flags often fall short with novel corridors. Are you focusing more on the geographical risk aspect or the characteristics of the digital assets themselves?
I've been thinking along similar lines. The traditional rule-based systems struggle with these novel corridors, often leading to either too many false positives or, worse, missing emerging patterns entirely. How are you approaching the challenge of distinguishing between legitimate, innovative use cases and potential illicit activity within these new payment rails?
This is super interesting. Are you seeing any specific types of digital asset rails that are particularly challenging, or is it more about the cross-jurisdictional aspect with less robust regulations?
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