As Large Language Model (LLM) agents transition from passive informational assistants to active autonomous decision nodes in core banking architectures, financial institutions face a critical governance challenge: The Stochastic Vulnerability of Generative AI .

While autonomous agents excel at reasoning across unstructured trade documents, parsing customer dispute histories, and recommending exception overrides, their underlying execution model is inherently probabilistic. Prompt engineering, system instructions, and temperature tuning reduce—but never eliminate—the risk of model hallucination, parameter drift, or prompt injection attacks.…