Banks Rethink Identity Checks as AI Fakes Voices and Faces
The next generation of payment fraud doesn’t seem very suspicious. In fact, it already sounds like a familiar customer, types at a perfectly ordinary pace and navigates a banking application without triggering a single behavioral warning. Findings in the September 2026 edition of the Payments Innovation Tracker® Series, a PYMNTS Intelligence report done in collaboration with […] The post Banks…
The payment industry faces a new challenge with the rise of artificial intelligence, as fraudsters become more adept at impersonating legitimate customers. A PYMNTS Intelligence report from September 2026 reveals that unauthorized-party schemes accounted for 71% of fraud incidents and dollar losses in 2025, up from 48% the previous year.
Traditional security measures, such as voice recognition, facial verification and behavioral biometrics, are increasingly susceptible to AI-generated deception. Banks are struggling to distinguish between human and machine behavior, as well as to identify impostors who mimic legitimate patterns. To address this issue, financial institutions are exploring a shift towards continuous, risk-based verification.
Instead of relying on a single authentication event, they are evaluating a broader history of interactions and transaction patterns to determine trust levels. This approach may prove more effective than implementing additional biometric checks, as AI becomes increasingly adept at mimicking human behavior. By separating questions of identity verification, confidence level, and granted financial authority, banks can better manage the evolving threat landscape.
Written by urgent.news from PYMNTS's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
