Deepfakes in Finance: 11 Types You Must Know
In today’s digital-first financial landscape, deepfakes pose significant risks to banks, fintech platforms, and lending institutions. AI-driven media manipulation—including face swaps, voice cloning, lip-sync, and hybrid deepfakes—can be exploited to bypass KYC, impersonate executives, and execute fraudulent transactions. Juniper Research estimates AI-based fraud, including deepfakes, could cost companies over $250 billion by 2030. For BFSI professionals, understanding these 11 types of deepfakes is essential for safeguarding customer trust and regulatory compliance. Institutions can mitigate risks through layered verification checks, AI-powered detection tools, continuous monitoring, and integrating real-time identity verification platforms like Gridlines.io. By combining technology, awareness, and robust onboarding protocols, financial organizations can ensure secure, trustworthy operations, protect customer assets, and maintain their reputation in a rapidly evolving digit...