What is the main focus of the LexisNexis Risk Ready 2026 panel?

The panel discusses the evolving landscape of fraud and anti-money laundering (AML) in Asia, particularly the shift to personalized scams.

Why is it becoming more challenging to detect fraud in banking?

Fraudsters are increasingly targeting customer judgment rather than the bank’s defenses, making scams harder to identify.

AI agents authorizing transactions could complicate liability and detection, posing new challenges for fraud prevention.

Banks need to enhance customer awareness and training to better equip them against personalized scams.

What: The LexisNexis Risk Ready 2026 panel discusses the evolving landscape of fraud and anti-money laundering (AML) in Asia, focusing on human compromise and scams.
Who: Panelists include Irfan Amer (AEON Bank), Dr. Mohanamerry Vedamanikam (Boost Bank), Lolitta Suffian (Bank Simpanan Nasional), Edward Metzger (LexisNexis Risk Solutions), and Vincent Fong (Fintech News Network).
Why it matters: The discussion highlights the shift from traditional fraud methods to more personalized scams, emphasizing the need for banks to adapt their fraud prevention strategies.

The panel discusses the increasing trend of scams targeting customer judgment rather than the bank’s defenses, making them more challenging to detect.
A case study from Bank Simpanan Nasional illustrates the impact of human intervention when customers authorize payments to scam accounts.
The conversation addresses the implications of AI agents authorizing transactions and the resulting challenges for fraud detection systems.

The discussion reflects a broader trend in financial crime where fraudsters exploit human vulnerabilities, indicating a need for banks to rethink their fraud strategies.
Regulatory discussions, such as the UK's approach to liability for scam losses, highlight the evolving landscape of financial responsibility in fraud cases.

Immediate implications include the necessity for banks to enhance customer awareness and training to combat personalized scams effectively.
Long-term implications involve the potential need for new regulations and frameworks to address shared responsibility between banks, telcos, and digital platforms in fraud cases.

Potential risks include the challenge of adapting current fraud defenses to account for AI agents authorizing transactions, which may complicate liability and detection.
The looming threat of post-quantum computing could render existing encryption methods obsolete, increasing vulnerability to data breaches and fraud.

Banks should monitor developments in regulatory frameworks that address liability for scam losses and the role of technology in fraud prevention.
Future advancements in AI and quantum computing will signal the need for significant updates to fraud prevention measures and encryption standards.