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Crypto SARs: Still Struggling to Meet FinCEN’s 7 Key Data Points

Effective crypto SARs now require detailed on-chain data and actionable intelligence for law enforcement.

[FinCEN expects crypto SAR narratives to include specific on-chain data points like wallet addresses and transaction hashes][A regulatory shift is refocusing AML programs on effectiveness over technical compliance, demanding more useful filings][Common pitfalls include vague narratives and failing to follow up with supplemental reports when new on-chain activity occurs]

Seven years after the Financial Crime Enforcement Network (FinCEN) issued advisory FIN-2019-A003, financial institutions struggle to consistently surface the seven categories of cryptoasset-specific information it deems crucial for Suspicious Activity Reports (SARs). This advisory, issued in May 2019, highlighted data points “particularly helpful to law enforcement” like transaction hashes and IP addresses. However, converting raw blockchain data into a compliant SAR narrative remains a significant operational hurdle for expanding firms.

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In the US, the filing rules and thresholds for crypto SARs mirror those for traditional fiat reports. Consequently, the key difference lies in the narrative expectations, which must weave complex on-chain details into a clear explanation for investigators. The narrative must identify counterparties and explain how the activity deviates from normal patterns or links to high-risk sources.

Meanwhile, the regulatory landscape is evolving toward prioritizing effectiveness. On April 7, 2026, FinCEN issued a proposed rule to reform AML/CFT programs, aiming to direct resources toward higher-risk activity rather than “check-the-box” compliance. This shift underscores the need for well-documented, investigation-ready filings.

Common filing patterns to avoid include overfiling with vague explanations or omitting critical counterparty details. These issues often stem from a lack of a repeatable workflow for identifying genuine on-chain risk.

Blockchain analytics can strengthen SAR programs by reducing false positives and providing auditable evidence. For instance, tools like Elliptic Lens trace funds and flag links to illicit entities, helping quantify risk exposure quickly. This precision allows for narratives grounded in specific on-chain evidence, which law enforcement can use to trace funds and connect cases. A single high-quality filing can expose shared infrastructure across multiple investigations when examined at scale.

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