One published white paper per regulation, filtered to the AI Labs audience. Each is grounded in the same substrate of authenticated primary sources used across the rest of this research.
RegLeg tested two frontier AI models against the Principles for Financial Market Infrastructures (PFMI), the global standard for payment systems, central counterparties, and securities settlement systems published...
This paper presents findings from RegLeg's evaluation of AI model responses to questions about MAS Notice 637 — the Monetary Authority of Singapore's risk-based capital adequacy framework for banks — covering both...
This report documents hallucinations produced by frontier AI models when asked questions about the Guidance on Cyber Resilience for Financial Market Infrastructures, published in June 2016 by CPMI and IOSCO under the...
This paper presents findings from a structured evaluation of two frontier AI models — Claude Opus 4.7 with web search and Claude Sonnet 4.6 with web search — against the Financial Conduct Authority's Consumer Duty...
The RegLeg Specialist Panel tested four configurations of Anthropic's Claude models against 17 CFR Part 23 — the CFTC's core framework governing swap dealer business conduct and documentation requirements. Twenty...