Risk teams at Investment Banking firms running swap dealer books under the December 2025 CFTC final rule are increasingly using AI to update pre-trade disclosure control frameworks, generate desk-level briefings on the post-rule § 23.431 obligations for the rates, credit, and FX derivatives desks, validate the boundary of the PTMMM elimination against the prior provision's product scope, and draft audit narratives on swap dealer business conduct controls. The same tools are used to brief the CRO ahead of internal audit cycles and CFTC examination engagements.
Two frontier AI models tested by the RLB Specialist Panel on the workflows investment-banking risk teams actually use AI for on the December 2025 CFTC final rule on swap dealer business conduct and documentation produced one discrete hallucination bound to verbatim regulator-issued source text. The Panel records a single recurring failure class, Exposed Fabrication across the set. Questions are prepared by the RLB Specialist Panel based on real practical AI usage in the workflows investment-banking risk teams use AI for. The Panel binds each AI finding to verbatim regulator-issued source text held as primary substrate.
For Risk teams at Investment Banking firms, each hallucination has a direct read-through into the pre-trade disclosure control framework, CRO briefing, audit narrative, or desk-level procedure on § 23.431 compliance. The Panel's testing surfaces the PTMMM elimination scope, overstated to include cleared CDS where the prior provision had never applied to cleared swaps. Where these errors flow into a deliverable, the exposure is CFTC examination risk on § 23.431 compliance scope, remediation across multiple downstream policy artefacts under examination pressure, and reputational damage where the firm's documented understanding of the PTMMM boundary diverges from the regulator's text.
The Specialist Panel records the citation IDs as follows: RLB-H-US-CFTC-SWAP-DEALER-BUSINESS-CONDUCT-DOCUMENTATION-2025-Q004-Opus47 (Claude Opus 4.7 (web search on), Exposed Fabrication). Each citation links to the verbatim regulator-issued source text, the tested AI question, and the recorded AI response, so the Panel's assessment is traceable end to end. The full audit is published at the the CFTC swap dealer business conduct and documentation hub on RegLegBrief.com.
This is the consolidated view of findings. Click the Citation IDs or 'see details →' on any item for the full details for each finding.
AI tools asserted that the December 2025 CFTC final rule's elimination of the PTMMM requirement under §23.431(a)(3) extended to cleared credit default swaps, a product class that was outside the provision's scope before the rule was issued. A Risk team acting on this answer when updating its pre-trade disclosure control framework or briefing the cleared CDS desk on its post-rule obligations could document a compliance position that misrepresents both the pre-existing regulatory baseline and the effect of the amendment.
If that characterisation propagates into policy documents, audit narratives, or desk-level procedures, the firm faces CFTC examination risk: examiners reviewing §23.431 compliance post-amendment will test whether the firm correctly understood the product boundary of PTMMM before and after the change, and a paper trail asserting a product-agnostic exemption will require remediation and explanation. The additional cost is the reputational and process burden of correcting multiple downstream artefacts under examination pressure rather than in a controlled internal review cycle.
Every finding on this page compares an AI subject's account of the rule against the regulator's verbatim text from the regulator's own portal. Both are linked. Each delta, its root causes, and impact analysis are documented and published with immutable Citation IDs.