AI Fraud Resilience

Develop a multi-layer framework to analyze and mitigate the risk of AI-enhanced fraud in financial and service sectors. Include threat modeling for voice-synthesis and social-engineering, detection and verification mechanisms, user-education programs, trusted authentication protocols, and policy options for industry self-regulation and government oversight. Propose resilience benchmarks and adaptable controls that can be applied across sectors and scales.