The enforced technical mandate: A multi-layered governance model for deepfake fraud and biometric integrity
The rapid escalation of financial deepfake fraud—driven by the emergence of Fraud-as-a-Service—has outpaced existing regulatory frameworks, creating a critical vulnerability in global digital security. This paper argues that the current legal response remains fragmented, trapped between the European Union’s rights-based architecture (General Data Protection Regulation, AI Act, Digital Services Act) and the United Kingdom’s safety-oriented technology-forcing imperatives (Online Safety Act). Through a doctrinal and functional comparative analysis, this study constructs a three-layered governance paradigm for the digital economy: Layer 1 (Source Control) identifies a compliance black hole in biometric data erasure; Layer 2 (Distribution Control) contrasts systemic risk management with proactive technical detection; and Layer 3 (Accountability) evaluates the shift toward strict corporate criminal liability. Critically, the study evaluates the June 2026 Digital Omnibus updates, identifying a 12-month governance vacuum created by the disparity between the December 2026 functional bans and the delayed December 2027 application timelines for high-risk systems. The paper concludes by advancing six strategic policy recommendations to counter scalable injection attacks, including the enforcement of NIST IAL2 zero-retention biometric standards and obligatory digital provenance (C2PA). Most notably, it proposes a Transatlantic Regulatory and Financial Interoperability Framework, advocating for the integration of biometric integrity protocols directly into ISO 20022 messaging schemas to enforce a real-time financial blockade against non-compliant jurisdictions.
Authors
- Felipe Romero Moreno (ORCID: https://orcid.org/0000-0001-7545-7740)
Institutions
- University of Hertfordshire (GB)
Publication Details
- Journal
- Computer law & security review
- Published
- 2026-07-17
- DOI
- https://doi.org/10.1016/j.clsr.2026.106376
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00