Monitoring AI Agents in Financial Services

Financial institutions are handing real decisions to autonomous agents, and the rules have shifted with them. SR 26-2 leaves generative and agentic AI to each institution's own governance program, built in practice on the National Institute of Standards and Technology’s AI Risk Management Framework (NIST AI RMF).

This guide turns those requirements into a practical framework, breaking the lifecycle of a multimodal system (Agentic, Generative, and Predictive) into five actionable commandments, illustrated through one high-stakes scenario: the autonomous credit decisioning agent.

Download the guide to learn how to:

• Navigate the Agentic Shift: Why traditional monitoring breaks down when agents, LLMs, and models produce one decision.
• Gain Total Visibility: Trace any decision across the agentic hierarchy, from application to span.
• Prove Compliance: Automate the evidence for fairness, drift, and compliance audits.