Crypto Compliance Gets Harder as Sanctions Lists Keep Moving

Crypto firms are facing a less forgiving compliance environment as sanctions authorities in Europe and the United States continue to add individuals, companies and digital asset entities to their restricted lists.

For exchanges, payment providers and other businesses handling crypto transactions, the challenge is not simply checking a customer against a sanctions list at onboarding. Screening also has to account for transactions involving sanctioned addresses, restricted counterparties and entities operating through jurisdictions that present higher sanctions risk.

The US Office of Foreign Assets Control, or OFAC, has repeatedly designated cryptocurrency addresses alongside individuals and organisations linked to sanctions programmes. That means firms relying on static screening systems can quickly find themselves working with outdated information.

The European Union has its own sanctions framework, with measures applying to designated people, companies and organisations. Crypto businesses operating in Europe therefore need to keep track of EU restrictions as well as US sanctions where those rules apply to their activities and counterparties.

The practical problem is speed. A sanctions designation can change the risk attached to an address or counterparty almost immediately, while compliance systems may still be relying on data that was collected hours or days earlier.

That is pushing crypto businesses towards more frequent screening and closer monitoring of wallet activity. It also puts greater pressure on the systems used to identify links between apparently separate wallets, exchanges and customers.

There is no single global sanctions list for crypto. Firms have to understand which rules apply to their business, keep their screening data current and make sure automated controls do not create gaps that fraudsters or sanctioned actors can exploit.

For the industry, sanctions compliance is becoming less about having a screening tool and more about how quickly that tool can respond when the underlying data changes.