Cryptomonnaies

Crypto, fintech firms build platform to meet money-laundering rule

Coinbase Global Inc., Gemini Trust Co. and Robinhood Markets Inc. are among the firms helping to build a platform to comply with a U.S. money-laundering rule as crypto and financial technology companies seek to satisfy existing requirements and head off stricter oversight.

A group of 18 companies is setting up the platform to help meet conditions of the Treasury Department’s “travel rule,” which requires financial firms to pass on information, including customer names, account numbers and the transaction dates of fund transfers. The coalition has held talks with U.S. and global regulators about their plan, said Elena Hughes, chief compliance officer at crypto platform Gemini.

“We believe that the solution will allow for top-tier compliance for the travel rule, and we are looking to get buy-in from our regulatory authorities,” Hughes said in an interview.

Crypto-related firms have said that regulations are outdated and existing agencies don’t have the expertise to oversee the sector. Meanwhile, rule makers are pushing for tighter controls. Commodity Futures Trading Commission Chairman Rostin Behnam and Securities and Exchange Commission Chair Gary Gensler have called for more aggressive oversight.

The group’s initiative, known as Travel Rule Universal Solution Technology, is a separate platform from the blockchains through which cryptocurrencies are transferred. There will be no central store of personal data, and the client information is sent directly from one member to another, the group said in a statement.

While private software makers offer some compliance solutions, the group thinks its proposal is better, Paul Grewal, chief legal officer of Coinbase, said in an interview.

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Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.

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