SteadyDetected Sep 18

Why Fraudsters Look Trustworthy and Good Customers Look Suspicious

Steady
1.3 momentum
Press
6 stories across sources

What's happening

Fraud is shifting from one-off payment attacks to identity-first schemes that mimic legitimate customers. Criminals use AI to create false identities, mimic voices and faces, and adopt the same signals banks treat as low-risk, letting them pass checks and scale attacks. That industrialisation is making fraud far more profitable and efficient, with reports saying AI-backed scams are 4.5 times more profitable and Stripe data showing AI startups faced 4.3x more fraud attempts than startups overall in Q3 2025. At the same time, real customers are adopting behaviors like VPNs after data breaches and privacy concerns, which can make them look suspicious to issuers.

Why it's trending

Because AI is letting attackers copy trusted signals at scale while legitimate customers change behavior, making identity the new battleground for issuers now.

Signal3.0× its usual volume, confirmed across 1 independent source type.

Story volume

Stories per day
09-1409-1509-17

Angles you could write

contrarian take

If you think your fraud model is 'robust' because it trusts repeat customers, you're already leaking revenue to AI-powered impostors.

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Original sources6

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