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Cryptocurrency

ACAMS and Chainalysis Scale Training as Crypto Fraud Losses Hit $17B

With global crypto-related scam and fraud losses surging to $17 billion in 2025, ACAMS and Chainalysis are overhauling their professional certification program. The partnership aims to bridge a critical industry knowledge gap, as 79% of surveyed anti-financial crime professionals cite digital assets as their primary area of concern.

ACAMS and Chainalysis Scale Training as Crypto Fraud Losses Hit $17B

The redesigned Certified Cryptoasset AFC Specialist certification, set for a November 19 launch, integrates Chainalysis data and methodology into a four-course curriculum. This marks the first time ACAMS has incorporated material from a global partner into its flagship certification. The program addresses the evolving complexity of illicit activity, covering everything from blockchain forensics and regulatory frameworks to advanced investigative case studies.

Chainalysis data underscores the urgency behind this initiative, revealing that illicit cryptocurrency addresses received at least $154 billion throughout 2025. Beyond simple theft, practitioners now face sophisticated threats including state-sponsored sanctions evasion and international money laundering networks. To combat this, the training includes a 300-question practice exam and hands-on exercises designed to help investigators process blockchain activity at the speed of automated criminal attacks.

Chainalysis CEO Jonathan Levin emphasized that while blockchain transparency is a powerful tool, its utility depends entirely on the proficiency of the examiner. The training emphasizes the integration of artificial intelligence into investigative workflows—a method recently demonstrated when the firm used AI to compress a transaction-matching task from 20 hours to under 10 minutes following the Bitget exchange hack. As regulators like the U.S. Treasury move to impose stricter anti-money laundering requirements on stablecoin issuers, the industry is shifting toward a model that combines human oversight with high-speed data intelligence.

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