Executive Summary

  • Automated model governance (MRM) for tokenized and algorithmic assets.
  • Real-time validation of data feeds (Oracles) via cryptographic proofs.
  • 40% reduction in false positives in model drift detection.

Why this matters for a CRO

"Model risk on digital assets is the primary barrier to Tier-1 bank allocation. The MRM Hub transforms this barrier into an auditable competitive advantage."

PERFORMANCE & RISK STABILITY
Confidential / Due Diligence Required

Model Risk Management Framework

The normative framework governing security, auditability, and separation of powers within the DCM Digital intelligence layer.

Executive Summary

DCM Digital's MRM architecture mathematically guarantees strict isolation between deterministic quantitative models and the natural language generation layer. This framework is designed to meet the strictest supervision requirements of financial regulators (ECB, BaFin, AMF).

Architecture Zero Hallucination

Separation of Concerns (SoC)

The system structurally isolates quantitative processing from qualitative formatting:

  • Quant Engine: Deterministic stress-test calculations.
  • Data Hook: Injection of verified variables into frozen prompts.
  • Narrative Engine: Translation of mathematical states into institutional formats (e.g., COMEX Brief).

Trigger Limitation

The AI cannot be triggered by free text. It responds exclusively to algorithmic anomalies or action buttons pre-approved by the risk committee.

Auditability & Traceability

{ "timestamp": "2026-06-21T14:30:00Z", "active_user": "CRO_01", "prompt_template": "COMEX_BRIEF_V1.2", "engine_state": "LIQUIDITY_SHOCK_70", "output_hash": "SHA256:8F3A2C...D91E" }

MRM vs DLT Tech Risk

Risk Axis Traditional Approach (Legacy) DCM Digital Approach (DLT Aware)
Data Quality (SR 11-7) Internal data silos, slow reconciliation. Direct cryptographic proofs from financial nodes (Canton/SWIAT).
Model Assumptions Theoretical liquidity risk, normal distribution. Real infrastructure risk accounted for (smart contract failures, node bankruptcy).
Validation Frequency Annual or ex-post on incidents. Real-time (Continuous Monitoring).

Data Lake Architecture

Technical visualization of the data lifecycle and persistence layers.

Consult the Data Architecture Blueprint

Change Management

Double Versioning

Independent update cycles between the risk engine and the intelligence layer (Copilot). Every report is double-stamped.

Complete Framework V1.0.3

Download the full MRM framework documentation for your due diligence files.

Open Source Document (MD)

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