Fingerprint, a leader in device intelligence, released its latest report, “Scaling Trust in Digital Finance.” The research highlights an inflection point for neobanksFingerprint, a leader in device intelligence, released its latest report, “Scaling Trust in Digital Finance.” The research highlights an inflection point for neobanks

Fingerprint Releases New Analysis on Neobanks, BNPL and Fraud

2026/04/21 20:02
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Fingerprint, a leader in device intelligence, released its latest report, “Scaling Trust in Digital Finance.” The research highlights an inflection point for neobanks: digital-first institutions have become primary targets for sophisticated fraud syndicates using AI-driven synthetic identities and advanced account takeover (ATO) techniques.

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Digital-first financial institutions are transitioning from secondary tools to primary banking relationships. The number of neobanking customers worldwide has reached approximately 1.1 billion, up 30% in just 18 months. This rapid scale has fundamentally reshaped the fraud surface.

Fingerprint’s report highlights a shift from isolated fraud incidents to coordinated, AI-enabled schemes.

Key findings include:

  • Synthetic Identity Crisis: Fraudsters are increasingly using a mix of real and fabricated data to bypass onboarding checks, with losses projected to exceed $23 billion by 2030.
  • APP Fraud Surge: Authorized Push Payment (APP) fraud, in which users are manipulated into authorizing transactions, could reach $18.2 billion by 2028 if AI-driven scams continue to intensify.
  • The BNPL Risk: Fraud rates in Buy Now, Pay Later (BNPL) transactions are now up to six times higher than traditional credit card fraud, driven by streamlined onboarding and high-speed approvals.

Scaling Trust in Digital Finance argues that traditional, point-in-time fraud checks (like those at login or signup) are no longer sufficient in 2026. With 51% of all web traffic now automated, legacy solutions generate excessive noise.

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The post Fingerprint Releases New Analysis on Neobanks, BNPL and Fraud appeared first on GlobalFinTechSeries.

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