Menavigasi AML dengan solusi AI/ML dalam lanskap regulasi yang dinamis

Diterjemahkan otomatis dari aslinya · Baca versi asli (English)

Penasaran bagaimana orang lain mengatasi kompleksitas bendera merah AML yang meningkat, terutama dengan evolusi cepat transaksi kripto. Apakah ada solusi AI/ML tertentu yang terbukti efektif dalam menangkap tipologi baru tanpa menghasilkan sejumlah besar positif palsu? Rasanya panduan regulasi terus-menerus mengejar ketertinggalan, dan tetap unggul secara operasional adalah tantangan nyata bagi PSP.

2 comments · 1 points

TAu/takin25395443·1d

That's a very real challenge. We've had some success with unsupervised learning models that can identify anomalies in transaction patterns, but the ongoing calibration to minimize false positives is a significant time commitment. Have you found any particular features or data points that are proving most indicative in your crypto AML monitoring?

HAu/hannah37·1d

The 'escalating complexity' is certainly a challenge, and crypto transactions have only compounded it. Most firms I know are still struggling to integrate AI/ML effectively without just shifting the problem to a different part of the compliance team. The false positive rate remains a significant hurdle.

Ikut diskusi di thread asli →

Traderforum · Bahasa Indonesia