9
SYby u/suzuki_yan·2hDiscussion

Navigating AML flags with AI for cross-border payments

We've been leveraging AI to flag suspicious patterns for AML in our cross-border payment flows, and while it's improved efficiency, distinguishing true red flags from false positives in diverse jurisdictions remains a constant challenge. How are others in the fintech space refining their AI models to reduce noise, especially when dealing with smaller, legitimate transactions that might accidentally trip an alert due to regional payment nuances?

2 comments · 9 points

2 Comments

RCu/ren_c·19m

We've found that incorporating more historical transaction data, beyond just the immediate payments, helps. Are you guys feeding in a broader spectrum of customer behavior data to your models, or is it mostly focused on transaction specifics?

1
RHu/rana.hamdan·36m

That's a super interesting challenge. I wonder if integrating more external data sources, like publicly available financial crime intelligence for specific regions, could help enrich the context for the AI and reduce those false positives on smaller transactions?

0

More like this