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ACAMS与Chainalysis扩展加密货币犯罪培训,诈骗损失达170亿美元

2026-10-09 04:11:11
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ACAMS and Chainalysis expand cryptocurrency financial crime training program

Chainalysis estimates that fraud and fraud will cause cryptocurrency losses of up to US$17 billion in 2025. In this context, ACAMS (Anti-Money Laundering Certification Association) and Chainalysis announced the expansion of their cryptocurrency financial crime training program.

Core Data and Curriculum Updates

Survey shows that 79% of anti-financial crime (AFC) professionals said that cryptocurrencies and digital assets are their biggest knowledge blind spots. To this end, the new training program will cover four major course modules: blockchain technology, financial crime risks, compliance programs, and investigative case studies.

The redesignated "Certified Cryptographic Asset Anti-Financial Crime Expert"(CCAS) certificate will be officially released on November 19, 2026 and is currently open for pre-sale. This is the first time that CCAS has included content from global partners, marking a major upgrade of the certification program.

Course content and practical training

In the revised curriculum system, ACAMS has updated the course "Cryptoassets and Blockchain" and added three new courses, covering financial crime risks and regulatory frameworks, cryptocurrency compliance plans, and investigative case studies. These content is provided by Chainalysis and is designed to help students keep abreast of the latest regulatory developments, emerging criminal methods and industry trends.

In order to improve practical capabilities, participants will complete case studies and exercises involving blockchain investigations. In addition, the government also provides practice-oriented online learning resources and an extended mock exam containing 300 questions to help candidates fully prepare for the certification exam.

Filling professional knowledge gaps

ACAMS identified significant training gaps in its internal investigation. At The Assembly in Las Vegas in 2026, 79% of anti-financial crime professionals surveyed listed cryptocurrencies and digital assets as their biggest training or knowledge shortcomings.

This certification program aims to provide training to professionals engaged in anti-money laundering, sanctions compliance and fraud prevention and control. As the scope of responsibilities expands, practitioners need to be able to interpret chain activity, track the flow of illicit funds, and assess the risks of engaging in criminal transactions.

Neil Sternthal, CEO of ACAMS, said: "To stay ahead of financial crime, practitioners must continue to build new skills as threats and technologies evolve." He added that the collaboration aims to train practitioners to "deal with today's blockchain threats and anticipate future trends."

Chainalysis reveals the scale of illegal cryptocurrency

In addition to the US$17 billion in fraud losses, Chainalysis also estimates that at least US$154 billion will be received in illegal cryptocurrency addresses in 2025. Describing the threat, ACAMS pointed out that criminals operate using sophisticated fraud techniques, international money-laundering networks, and state-backed sanctions-circumvention strategies.

The organization emphasizes that practitioners not only need blockchain knowledge, but also need to have tools that can process activities at criminal operating speeds.

Previous reports have shown that Chainalysis has recorded physical attacks against its possessor and estimates that it stole more than $30 million in the first half of 2026 through successful kidnappings, hijackings, and home incursions. According to the company's report, this estimate only covers publicly reported incidents, and the actual total may be underestimated.

Chainalysis points out that successful forced transfers leave a record on the blockchain for review by investigators. Analysts described two modus operandi: one is to send stolen assets directly to a centralized exchange; the other is to transfer stolen assets by more skilled operators using bridging protocols, decentralized exchanges and intermediate wallets and finally withdraw cash.

Applications and challenges of artificial intelligence in crime

In response to cyber threats, Chainalysis co-founder and CEO Jonathan Levin said that criminals are using artificial intelligence to automate scams, create synthetic identities, and transfer funds across chains in seconds.

"The benefits of blockchain transparency only make sense if practitioners have the ability to use these data, skills and tools." Levin said. He pointed out that compliance teams need tools that can identify and disrupt criminal activity at the same scale and speed as automated attacks.

Investigation method combining automated and manual review

Recent reports show examples of the investigative work covered by this collaboration. An October 3 report on the Bitget hacking investigation described Chainalysis using artificial intelligence to shorten the time required for a transaction matching task from more than 20 hours to less than 10 minutes. The task involved matching bridge deposits with payments on other blockchains after a breach occurred on September 24.

According to the company, investigators created custom automated tools while retaining control of the matching rules and reviewed the results to decide which clues to follow. This time saving applies only to specific parts of the investigation, not the entire tracking process.

In tracking the stolen XRP, Chainalysis pointed out that investigators identified the transfer through a cross-chain liquidity protocol that pays for bitcoin. The company then traced subsequent transactions to Bitcoin addresses controlled by the attacker.

Through its data platform, Chainalysis said newly identified addresses will receive a "stolen funds" label within minutes, allowing compliance teams to use its blockchain intelligence to quickly obtain investigation results.

U.S. stablecoin regulation brings new compliance requirements

For U.S. compliance professionals, the Treasury Department has introduced separate AML (Anti-Money Laundering) and sanctions requirements for issuers of payment stablecoins authorized to issue under the GENIUS Act.

财政部在4月8日的公告中表示,FinCEN(金融犯罪执法局)和OFAC(外国资产控制办公室)联合提议了实施该法律中非法金融条款的规则。财政部解释称,该法律规定将其视为《银行保密法》下的金融机构,并施加反洗钱义务。

根据提案,OFAC还要求获准的支付稳定币发行人制定并维护有效的制裁合规计划。

FBI培训论坛聚焦非法资金追踪

9月24日关于FBI加密货币培训论坛的报道详细描述了圣安东尼奥的一次聚会,参会者包括调查人员、外国执法合作伙伴和加密货币专家。报告中引用的参与者披露和账户描述了关于追踪非法资金、诈骗、制裁以及朝鲜相关活动的讨论。

根据报告中引用的FBI数据,其互联网犯罪投诉中心(IC3)在2025年收到了181,565起与加密货币相关的投诉,reported损失超过110亿美元。其中,加密货币投资欺诈损失超过72亿美元。

据报道,FBI的数据衡量的是提交给IC3的投诉数量,并未涵盖当年发生的所有与加密货币相关的犯罪案件。

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