Your Fraud Detection Model Is Already Too Late to the Party – GovInfoSecurity

Agentic AI
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Artificial Intelligence & Machine Learning
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Fraud Management & Cybercrime

Real-Time Payments, AI-Led Exploits Are Exposing Flaws Fraud Detection Can’t Catch

Suparna Goswami
(gsuparna)
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April 14, 2026    

For many years, fraud prevention has followed a familiar script. A transaction is initiated. A model evaluates it. A decision is made either to approve or flag it for review. Even with advances in machine learning and real-time scoring, the core paradigm has remained unchanged. Fraud still gets detected as it happens or after it occurs. But this model is now breaking down.

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The rise of instant payment systems including FedNow has already compressed decision windows from hours to seconds. Once a transaction is executed, funds are often unrecoverable. At the same time,…

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Insurance fraud involves making false or exaggerated claims to an insurance provider.

• Hard Fraud: Someone deliberately causes a loss (e.g., setting fire to a warehouse or staging a car accident) specifically to collect a payout.
• Soft Fraud: More common and often viewed as “victimless” by the perpetrator. It involves exaggerating a legitimate claim, such as overstating the value of stolen items in a home burglary to cover the deductible.