Analitik On-Chain dan Penilaian Risiko AML untuk DeFi?

Diterjemahkan otomatis dari aslinya · Baca versi asli (English)

Akhir-akhir ini saya mendalami sisi kepatuhan DeFi, dan satu hal terus muncul: bagaimana perusahaan benar-benar mengintegrasikan analitik on-chain untuk penilaian risiko AML? Saya mengerti ide umumnya, melacak dompet, pola transaksi, tetapi secara spesifik, seberapa detail yang Anda dapatkan? Apakah ini sebagian besar tentang mengidentifikasi alamat ilegal yang diketahui, atau apakah Anda membangun model perilaku yang lebih kompleks untuk dompet baru yang belum ditandai? Poin data utama apa yang Anda anggap paling efektif, dan bagaimana Anda menangani volume data yang sangat besar tanpa hanya menghasilkan banyak positif palsu? Bagi mereka yang aktif di bidang ini, bagaimana pengalaman Anda dan platform apa yang terbukti benar-benar berguna untuk tantangan spesifik ini?

4 comments · 44 points

CCu/chart_chai_th·4h

It's a mix, but the trend is definitely towards more complex behavioral models. Identifying known illicit addresses is table stakes, but the real challenge is proactively spotting suspicious activity from unflagged wallets before they become a problem.

TMu/taylor_m·3h

That's a great question. I think a lot of firms are still figuring out the right balance, but the trend seems to be towards more complex behavioral models for new wallets, beyond just flagging known illicit addresses. It's a tricky balance between effective AML and not overly burdening legitimate users.

KKu/kaito_k·3h

Most are focused on known illicit addresses and direct exposure. Behavioral models are still pretty nascent for new wallets, primarily because the data sets are messy and defining 'risky' behavior without false positives is incredibly hard.

ASu/asiddiqui·4h

It's definitely a mix. Beyond known addresses, many are developing heuristics for suspicious activity, like rapid transfers to multiple new wallets or large, unexplained inbound flows from mixers. The challenge is balancing accuracy with false positives.

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