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Investment Banking × Risk — United States · updated 2026-06-04
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Finding#2 — Multi-DCO haircut rule omission

RLB Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007
AI's failure:Misstated Rule Risk for Investment Banking × Risk:Regulatory enforcement
What the RLB Specialist Panel found
Question (paraphrased to protect IP)

A futures commission merchant needs to distinguish two '20 percent' requirements in the CFTC's December 2025 digital asset framework — one applied to customer-posted collateral and one to the firm's proprietary holdings. For the customer margin haircut requirement, what specific rule governs the haircut calculation when multiple registered clearing organizations each accept the same digital asset but at different haircut rates?

RLB's analysis

The model answered the single-DCO or no-DCO case — the 20 percent floor — but dropped the multi-DCO tie-breaking rule entirely. The question was specifically about the governing rule when multiple clearing organisations each accept the same asset at different rates; the regulator's answer is unambiguous (use the highest). The model's response leaves an FCM believing it may choose among the available DCO haircut rates, when the regulator requires the worst-case selection.

AI Head's analysis — what weakness in the AI model caused this

The dropped multi-DCO worst-case selection rule implicates retrieval-layer answer construction for questions with a numeric threshold and a tie-breaking rule. The model retrieved and stated the base threshold correctly but did not surface the governing rule for the multi-party case, which is the only rule that matters when the question explicitly concerns multiple DCOs accepting the same asset. This is likely a training-data density issue for the FAQ-level elaboration of this rule, combined with a tendency to answer the simpler version of a numeric-threshold question when the more complex governing rule requires an additional retrieval step.

Cited source(s)
  • https://financefeeds.com/cftc-issues-faq-on-crypto-collateral-sets-20-charge-... — Pretextual
  • https://www.theblock.co/post/394573/cftc-staff-details-how-crypto-firms-can-u... — Pretextual
Impact for Risk Teams in Investment Banking Sector in the United States working with the CFTC Digital Asset Collateral No-Action Relief and Tokenized Asset Staff Guidance (Market Participants Division, December 2025)

A Risk team designing the firm's collateral eligibility model using only the 20% haircut floor — without the multi-DCO highest-rate rule — would systematically under-haircut customer-posted digital assets in any clearing scenario where a registered DCO applies a haircut above 20% on the same asset. The model gap is silent: it produces outputs that look internally consistent, and the error only becomes visible when the specific multi-DCO scenario is tested against the letter.

The downstream exposure is collateral adequacy: the firm is holding less protection than the CFTC's framework requires, and its customer account segregation calculations reflect the under-haircut values. Under examination, this is a demonstrable failure to implement the relief conditions correctly, with potential for enforcement action on collateral deficiencies and remediation orders requiring retroactive recalculation of margin calls across the affected period.

References — raw findings (per AI model)
This finding also affects
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Cite this finding

Each finding has a stable Citation ID (RLB-F-… for aggregated case-study findings, RLB-H-… for raw per-model hallucinations) — like a DOI, the ID always resolves to the canonical finding even if URLs change.

RLB Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007
Plain text Download
RegLeg Specialist Panel (2026). "Finding#2 — Multi-DCO haircut rule omission — Investment Banking × Risk — United States." Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007. RegLegBrief AI Hallucination Research, published 2026-06-04. https://reglegbrief.com/regulators/j3/us/cftc/digital-asset-collateral-tokenized-assets-staff-guidance-2025/sectors/investment_banking/risk/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/
APA 7th edition Download
RegLeg Specialist Panel. (2026). Finding#2 — Multi-DCO haircut rule omission [Hallucination finding RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007]. RegLegBrief AI Hallucination Research. https://reglegbrief.com/regulators/j3/us/cftc/digital-asset-collateral-tokenized-assets-staff-guidance-2025/sectors/investment_banking/risk/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/
Bluebook / OSCOLA (US + UK legal) Download
RegLeg Specialist Panel, Finding#2 — Multi-DCO haircut rule omission [RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007], RegLegBrief AI Hallucination Research (June 04, 2026), https://reglegbrief.com/regulators/j3/us/cftc/digital-asset-collateral-tokenized-assets-staff-guidance-2025/sectors/investment_banking/risk/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/.
BibTeX Download
@misc{reglegbrief_RLB_F_US_CFTC_DIGITAL_ASSET_COLLATERAL_TOKENIZED_ASSETS_STAFF_GUIDANCE_2025_Q007,
  author    = {RegLeg Specialist Panel},
  title     = {Finding#2 — Multi-DCO haircut rule omission},
  year      = {2026},
  publisher = {RegLegBrief AI Hallucination Research},
  note      = {Hallucination finding Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007},
  url       = {https://reglegbrief.com/regulators/j3/us/cftc/digital-asset-collateral-tokenized-assets-staff-guidance-2025/sectors/investment_banking/risk/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/}
}
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