Financial institutions with mature anti-money laundering programs now face a transformed infrastructure for illicit finance: digital assets. While the risks remain familiar, funds can cross multiple blockchains through bridges in minutes, leaving a trail traditional systems cannot follow. However, this trail is recorded permanently on public ledgers.

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Consequently, blockchain analytics provides the visibility needed to manage these risks. Five crypto crime typologies account for the significant digital asset risk an FI is likely to encounter. Major drug cartels increasingly use cryptoassets to move proceeds globally, such as using Bitcoin to pay China-based chemical suppliers.

Meanwhile, multi-billion-dollar fraud schemes like “pig butchering” generate substantial crypto-based money laundering. These scams often involve victims of human trafficking working from compounds across Southeast Asia. Exposure for banks can come from retail clients sending funds to scam wallets or corporate clients processing fraud proceeds.

Obfuscation through mixers, privacy protocols, and cross-chain bridges deliberately breaks the analytical trail. Elliptic’s The state of cross-chain crime 2025 report identifies over $21.8 billion laundered through such methods. Screening limited to one or two chains will miss this activity.

Sanctions evasion is another critical typology. Designated wallet addresses by authorities like the US Treasury’s Office of Foreign Assets Control (OFAC) create direct, indirect, or institutional exposure for banks. State-sponsored programs, like North Korea‘s Lazarus Group which stole approximately $1.46 billion from Bybit, move stolen funds rapidly across chains.

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Every one of these typologies leaves a permanent, traceable record. Identifying them is what blockchain analytics does, and integrating it is essential for banks engaging with digital assets.

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