Deepfakes in Onboarding, KYC, and Financial Fraud: Authenticity Standards and Liability Framework for Digital Banks and FinTech

Abstract

Deepfakes and synthetic media have evolved from reputational threats to direct financial exploitation tools, enabling sophisticated impersonation during remote onboarding, evasion of biometric verification systems, and the creation of synthetic identity accounts at industrial scale. Yet most countermeasures remain fragmented, relying on ad hoc vendor controls or intrusive surveillance mechanisms that undermine both user trust and financial inclusion objectives. This article advances an integrated legal-technical framework for FinTech institutions and digital banks structured around four core contributions: (i) a FinTech-specific taxonomy of deepfake-enabled fraud vectors spanning onboarding, KYC refresh, and account takeover scenarios; (ii) a normative mapping of duties grounded in risk-based customer due diligence and security obligations, anchored in Mexican law but internationally interoperable; (iii) a Tiered Authenticity and Traceability Standard (TATS) that calibrates verification intensity with transaction risk while enforcing data minimization and auditability principles; and (iv) a pragmatic liability allocation model distributing responsibility among deployers (FinTech), users, and verification vendors based on control capacity, foreseeability, and evidentiary capability. By integrating digital identity assurance standards with transparency-by-design principles and secure capture/provenance mechanisms, TATS operationalizes a privacy-preserving trust infrastructure that supports safer digital finance and, ultimately, sustainable financial inclusion in emerging markets.