Fraud detection in modern banking has become a race between criminal innovation and institutional response. The Monetary Authority of Singapore (MAS) is attempting to shift the odds by launching an ambitious proof-of-value program that applies artificial intelligence and machine learning to transaction data harvested from five banking partners, working alongside the Government Technology Agency of Singapore and local law enforcement. The initiative reflects a broader regulatory truth: traditional fraud controls—manual review, rule-based alerts, post-facto investigation—can no longer match the velocity and sophistication of contemporary scams. Yet the very speed that makes AI attractive as a solution introduces thorny questions about how regulatory bodies should validate, deploy, and govern predictive systems at scale. The scale of fraud in Singapore, and across the Asia-Pacific region, has reached critical mass.…