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US Treasury Seeks Input on Digital Identity Integration in DeFi Compliance

The US Treasury’s GENIUS Act consultation highlights AI, blockchain monitoring, APIs, and digital identity as key tools against crypto laundering amid rising hacks and rapid fund movements in 2025.

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Fact Check
The statement is directly confirmed by primary evidence from the Federal Register (Source 1), which published a 'Request for Comment' from the U.S. Treasury. This document explicitly asks for public input on 'digital identity verification for AML/CFT and sanctions compliance purposes.' This action is widely reported by secondary news sources (Sources 11 and 12), which state that the Treasury is seeking input on digital ID tools for DeFi compliance.
    Reference: 12
Summary

The US Treasury Department launched a 60-day public consultation under the GENIUS Act, ending October 17, to explore innovative tools—such as AI, blockchain monitoring, APIs, and digital identity verification—for combating crypto money laundering. Secretary Scott Bessent described the Act’s implementation as essential for U.S. digital asset leadership and stablecoin expansion. Blockchain analytics revealed that hackers launder funds within minutes, often before detection, with $3 billion stolen in 119 incidents during early 2025 and only 4.2% of stolen assets recovered. Industry experts emphasized AI-driven detection, automated recovery systems like Circuit, and multi-oracle redundancy as vital defenses, while studies by Elliptic, IBM, and MIT demonstrated deep learning models detecting laundering subgraphs across 200 million Bitcoin transactions.

Terms & Concepts
  • Blockchain monitoring: Tools and methods for analyzing on-chain data to trace transactions, detect patterns, and flag suspicious activity.
  • GENIUS Act: US legislation aimed at fostering responsible digital asset growth while addressing illicit finance risks through research and public consultation.
  • Artificial intelligence (AI): Computer systems capable of learning and decision-making, used here to detect illicit blockchain activities through advanced pattern recognition and predictive analytics.