Predictions for Credit and Fraud Risk in 2026

This document is a report outlining seven key shifts that will define the landscape of credit and fraud risk in 2026. It emphasizes the transition from experimental innovation to accountable intelligence, driven by the rapid growth of generative and agentic AI amidst economic pressures and evolving regulatory demands. The report details how financial institutions are reevaluating their AI strategies to ensure automation is accompanied by necessary guardrails, speed does not compromise trust, and decisions are explainable and auditable. The seven trends include the transformation of enterprise automation through agentic ecosystems, the intensification of fraud and identity risks necessitating intelligent orchestration, and the convergence of credit, fraud, and compliance into unified intelligence. Furthermore, it discusses the operational implications of these trends, highlighting the need for governance frameworks that ensure accountability and compliance in AI deployments. The report concludes by stressing that the institutions that adapt to these changes will gain a competitive advantage in the market.