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Financial institutions are using behavioral analytics to stop crypto scams by tracking account liquidations, identifying $12.7B in suspected fraud.
Financial institutions are increasingly identifying cryptocurrency investment scams by monitoring the "financial trajectory" of victims rather than just the final digital asset transaction [1]. A recent analysis by the Financial Crimes Enforcement Network (FinCEN) found that between September 2023 and December 2025, over 33,900 reports were filed involving $12.7 billion in suspected digital asset scam activity, highlighting a shift toward detecting the funding of fraud before the money leaves a bank account [1].
| At a glance | |
|---|---|
| Total suspected scam volume | $12.7 billion [1] |
| Reporting period | Sept. 2023 – Dec. 2025 [1] |
| Bank-filed reports | 13,810 [1] |
| Crypto-business reports | 18,568 [1] |
While crypto platforms often see the destination of stolen funds, traditional banks are uniquely positioned to see the victim’s preparation for the scam [1]. FinCEN’s data shows that victims are often manipulated into liquidating retirement accounts, opening home equity lines of credit, and securing personal loans to fund fraudulent investments [1]. In one extreme case, a victim withdrew nearly $150,000 from a retirement account and refinanced a mortgage after being denied personal loans twice, all while believing they were following advice from a romantic partner [1].
These "authorized-payment" scams often begin with seemingly harmless contact, such as a text message or WhatsApp notification offering flexible online work [2]. Scammers frequently use vague terminology like "optimization tasks" or "product boosting" to build trust before requiring victims to deposit cryptocurrency to "unlock" earnings or withdraw funds [2]. Because victims are often trying to recover money they believe is trapped in a fake platform, they are frequently pushed to liquidate their financial lives to satisfy the scammer's demands [1, 2].
The challenge for financial institutions is that individual transactions—such as a wire transfer to a crypto exchange—may appear legitimate when viewed in isolation [1]. However, when these transfers are viewed alongside a sequence of unusual financial behavior, such as sudden loan applications or the depletion of long-term savings, a clear pattern of "financial self-liquidation" emerges [1].
Industry experts note that the reliance on cryptocurrency as a payment method is a primary hurdle for recovery, as the speed and anonymity of blockchain transactions make funds difficult to track once they reach a scammer's wallet [2]. Consequently, the next generation of fraud prevention is shifting toward artificial intelligence and behavioral analytics to identify combinations of ordinary financial decisions that become extraordinary when viewed as a cohesive story [1].
The effectiveness of future fraud prevention depends on whether banks can connect these disparate financial footprints quickly enough to intervene before the victim’s capital is permanently moved to the blockchain [1]. Until such guardrails are fully integrated, the combination of social engineering and the irreversible nature of crypto payments remains a significant risk for retail participants [1, 2].
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 2 outlets · Sep 13, 2026 · How we report
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