Banks Face AI Risks as Vendors Drive Strategy

Banks are increasingly relying on core-platform, cloud and technology vendors to shape their artificial-intelligence strategies, giving smaller institutions access to capabilities they may be unable to build internally. The trade-off is reduced visibility into model architecture, training data and decision processes. Outsourcing does not transfer accountability: banks remain responsible for model failures, biased outcomes, operational disruptions and consumer harm, even when the underlying system is supplied or managed by a third party.

The Federal Reserve, Office of the Comptroller of the Currency and Federal Deposit Insurance Corp. issued revised interagency model-risk guidance on April 17, 2026, replacing the framework established by SR 11-7 in 2011. The risk-based update applies to traditional models but expressly excludes generative and agentic AI because the technologies are evolving rapidly. Banks must therefore use their own governance and risk-management practices while regulators consider further action, leaving a significant control gap as vendor-driven AI adoption accelerates.