Banking + Payments

A concise guide for banking leaders on how agentic and generative AI are remaking fraud, payments, engineering and operations, plus the foundations for scaling safely.

Despite AI sector volatility, post-2008 reforms and stricter underwriting mean US banks have limited direct exposure to risky AI data center debt.

A concise executive guide to how AI transforms banking: customer experience, risk, operations, ethics, and the near-term trends leaders must prioritize.

AI speeds code creation but shifts the battleground to proving software is trustworthy and compliant. A strategic guide for banking leaders on build, buy, or buy-and-extend.

The ECB orders banks to submit AI-related cyber resilience action plans by Oct 31. Moody’s calls the move broadly credit positive; here’s what banks should do next.

ECB shifts AI assurance from model validation to continuous behavioural testing. What banks must change in QA, monitoring, and compliance under DORA and TIBER-EU.

The ECB has instructed EU banks to submit AI cyber defence plans under DORA. Learn what the requirement means, how regulators and the ESRB are responding, and five immediate steps for bank leaders.

MAS introduces SAFR, a runtime assurance framework for autonomous AI agents in banking, setting a practical global benchmark for risk, compliance and interoperability.

Specialized, smaller AI models can improve banking software testing, auditability, regulatory compliance and cut costs compared with general-purpose LLMs.

RBI issued AI/ML guidelines in late June requiring board accountability, model monitoring, stress testing and human oversight to curb credit risk in Indian banks.