Banks must keep ahead of risks and reap AI rewards

The piece assesses rapid AI adoption across APAC banks—driven by customer engagement, fraud detection, and operational gains—while cautioning that security, privacy, and compliance often trail innovation. It underscores supply chain and API risks (including shadow/zombie APIs), AI-specific threats like model poisoning and adversarial attacks, and organizational silos between SecOps and data/AI teams; it recommends phased rollouts, zero-trust architectures, unified AI-aware security tooling, emerging AI SecOps/DataSecOps practices, and expert partnerships to balance innovation with robust protection and regulatory alignment.