If Deepfakes Can Fool the Trained Eye, What Should APAC Banks Do?

§ 01 Executive Snapshot

• What: The rise of deepfake technology is challenging banks in the Asia Pacific (APAC) to enhance identity verification methods.
• Who: Key players include Dominic Forrest (iProov), Gan Kee Lim (GXBank), Catherine Paleracio (Tonik), and Julius Rajeswaran (Ryt Bank).
• Why it matters: The rapid advancement of deepfake tools necessitates a shift in how banks authenticate identity, as traditional methods may no longer be sufficient to combat increasingly sophisticated fraud.

§ 02 Key Developments

• Reports of GenAI-enabled scams increased by 456% between May 2024 and April 2025, highlighting the urgency for banks to adapt their fraud prevention strategies.
• iProov tracks over 130 face-swapping tools that are available at low or no cost, making deepfake scams more accessible.
• GXBank has reduced fraud case assessment time from approximately 15 minutes to around 5 minutes by implementing AI tools for fraud detection and transaction monitoring.

§ 03 Strategic Context

• The rapid digital transformation in Southeast Asia has led to an increase in banking activity online, providing criminals with more opportunities to exploit weaknesses in security measures.
• As fraud tactics evolve quickly, banks must adapt their identity verification processes to ensure they can effectively authenticate users in real-time rather than relying solely on one-time checks.

§ 04 Strategic Implications

• Immediate market consequences include increased investments in AI-driven fraud detection technologies to keep pace with evolving threats.
• Long-term implications may involve a fundamental shift in customer verification processes, requiring banks to continuously assess user identity throughout the banking experience.

§ 05 Risks & Constraints

• Potential regulatory risks include the need for compliance with evolving standards in identity verification and fraud prevention as deepfake technology advances.
• A significant challenge is the technological disparity among users, as lower-end devices may not support robust biometric authentication systems, risking exclusion of vulnerable customer segments.

§ 06 Watchlist / Forward Signals

• Financial institutions should monitor the development and deployment timelines of new AI-driven fraud detection tools to stay ahead of emerging threats.
• Future developments signaling success will include improved user experience in digital interactions without compromising security, as well as effective responses to evolving fraud tactics.