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How are AI and Analytics Helping Redefine Crypto Compliance?


Crypto card payments have hit an all-time high, with a staggering US$584.5m in March, up 211% year-on-year.

This follows a strong 2025, where crypto card spending reached an annualised run rate of US$18bn, according to Yahoo Finance.

But, as digital assets evolve from sitting on the outskirts of finance to being placed in the palms of consumers, the stakes for anti-money laundering (AML) have never been higher.

It’s this explosive growth in crypto-linked spending that is forcing a radical evolution in how financial institutions understand and react to – or preempt – risk.

Because digital currencies are becoming more popular and widely used – and, as a result, becoming part of the fabric of daily commerce.

What comes with an elevation of this scale is a move away from manual oversight toward network-level security.

Shifting to network intelligence

For payment giants around the globe, the challenge balances on maintaining the speed of a card swipe while conducting deep forensic analysis. 

“While many financial service providers and institutions may think they have the tools and policies to prevent attacks, fraudsters are proving to be exceedingly sophisticated – often covertly disabling the internal monitoring systems of their targets before launching highly coordinated attacks,” Mastercard says in its Securing Trust in Central Bank Digital Currencies whitepaper.



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