CryptoBearishThe Block · Jun 237/10
⛓️Nearly 100 Catholic leaders, through the Alliance to End Human Trafficking, have formally opposed the Clarity Act, a sweeping cryptocurrency regulation bill, citing concerns that it weakens safeguards against illicit finance and human trafficking. This coalition's pushback signals significant resistance to the proposed legislation from influential religious institutions.
CryptoBearishcrypto.news · Jun 237/10
⛓️China's People's Bank announced expanded anti-money laundering enforcement targeting virtual currency crimes as part of its five-year financial security framework. The initiative represents a significant regulatory escalation in monitoring cryptocurrency-related financial crime and deepening international cooperation on AML compliance.
CryptoNeutralCrypto Briefing · Jun 217/10
⛓️Israeli forces eliminated two operatives connected to a $140 million funding network supporting Hamas and Islamic Jihad, marking a significant disruption to militant financing. The operation highlights how regulatory pressure and blockchain transparency have forced terrorist organizations to shift away from cryptocurrency toward traditional financial methods.
DeFiNeutralCoinDesk · Mar 267/10
💎European regulators are grappling with how to regulate zero-knowledge proof technology in finance, which promises transaction privacy while new anti-money laundering laws demand greater transparency. This regulatory tension could significantly impact the development and adoption of privacy-focused financial technologies.
CryptoNeutralcrypto.news · May 286/10
⛓️Chainalysis reports that 47% of cryptocurrency market entrants in 2026 now meet the strictest anti-money laundering alerting standards from 2020, indicating improved compliance infrastructure. However, significant monitoring gaps persist in indirect transaction tracking, revealing that regulatory progress remains incomplete despite tightening standards across the industry.
AI × CryptoBullisharXiv – CS AI · Mar 266/10
🤖Researchers developed LineMVGNN, a novel graph neural network method for anti-money laundering that uses multi-view graph learning to analyze transaction networks. The method outperformed existing approaches on real-world datasets including Ethereum phishing networks and financial payment data.
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CryptoNeutralCoinTelegraph · Mar 146/10
⛓️The article argues that blockchain technology's inherent transparency makes it more effective at tracking illicit financial flows compared to traditional fiat systems. It advocates for industry-wide information sharing and unified anti-money laundering (AML) regulations to combat financial crimes without restricting individual financial freedom.
AINeutralarXiv – CS AI · Mar 35/106
🧠Researchers have released Tide, an open-source synthetic dataset generator for Anti-Money Laundering (AML) research that creates graph-based financial networks with both structural and temporal money laundering patterns. The tool addresses the lack of accessible transactional data for machine learning research due to privacy constraints, and includes two reference datasets with different illicit ratios for benchmarking detection models.
