Deepfake Enabled Financial Fraud and Consumer Trust in Digital Finance: Can Vulnerability–Trust–Resilience Framework Be Applied in the United States of America?
Abstract
Generative artificial intelligence has made convincing synthetic identities, voices, images, and video cheaper and easier to produce. Financial institutions now face attacks directed not only at technical authentication, but also at the social cues through which customers and employees decide whom to trust. This study combines descriptive analysis of public United States fraud statistics with directed qualitative content analysis of 18 (eighteen) authoritative regulatory, law-enforcement, standards, and policy documents published between 2019 and 2025. Eight response mechanisms were coded: accountable ownership, identity verification, deepfake detection and provenance, transaction monitoring, human authentication and escalation, customer information, incident response and information sharing, and third-party governance. Incident response appeared in about 94% of the corpus while identity verification stood at 89%. Human authentication and transaction monitoring were present in 83% and 72%, respectively. Half of the documents addressed provenance or deepfake detection, whereas only 39% connected counter-fraud controls with customer communication. Public loss data confirm a rapidly worsening fraud environment but do not identify losses caused specifically by deepfakes, producing an attribution-denominator problem. The proposed Vulnerability–Trust–Resilience (VTR) framework shows how synthetic media can turn weaknesses in authentication and judgment into financial loss and wider distrust. Resilience therefore depends on layered verification, transaction-context controls, empowered human escalation, rapid recovery, and carefully calibrated communication—not on a single detector. It is therefore recommend that there is need to urgently develop testable propositions, a managerial scorecard, and a reproducible engagement agenda by the government to forestall the growing incidence of deekfake enabled financial fraud in the financial sector of the economy.