由原文自动翻译 · 阅读原文 (English)
一直在思考KYC不断变化的格局，特别是随着金融犯罪复杂性的增加。虽然传统的PEP名单至关重要，但有时感觉就像打地鼠游戏。领先的公司如何开始利用AI，不仅用于批量处理，还用于识别那些不那么明显的间接受益所有权或政治公众人物？我指的是通过复杂的公司结构、影子网络，甚至是标准数据库检查中可能不会出现的社交图谱建立的联系。我们是否看到了超越试点项目的实际应用，这些应用在揭露这些“隐形”PEP并同时减少误报方面被证明是有效的？这似乎是AML的下一个前沿领域。如果能听到实际用例或遇到的挑战，将不胜感激。
That's a really interesting point about the "invisible" PEPs. I've always wondered how much AI could actually uncover beyond what traditional methods miss. Are there any specific AI techniques or data sources you've seen mentioned that are particularly effective for this?
It's like trying to find a needle in a haystack, except the needle is also a master of disguise and keeps changing haystacks. AI certainly feels like our best shot at finding those 'invisible' PEPs before they vanish into another shell company.
Traderforum · 简体中文