FinGuard: Detecting Financial Regulatory Non-Compliance in LLM Interactions 事件

FinGuard: Detecting Financial Regulatory Non-Compliance in LLM Interactions arXiv:2605.29427v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly deployed in financial services, a single non-compliant interaction can expose institutions to regulatory penalties and direct consumer harm. Existing guard models are built around general harm taxonomies and overlook violations grounded in specific financial regulations. We address this gap with a regulation-driven pipeline