Educational purpose: This article explains concepts and risks. It is not individualized financial, legal, tax, or investment advice.
Financial institutions use AI for fraud detection, customer support, document processing, forecasting, compliance triage, and software development.
Governance before scale
Models should be evaluated for accuracy, bias, data leakage, explainability, robustness, and human escalation. The appropriate standard depends on the consequence of an error.
Generative AI adds new risks
Prompt injection, hallucination, confidential-data exposure, and untraceable outputs require controls beyond conventional model monitoring.