model-risk-management

FLUXARA-1 independent audit verification pack for peer review. Contains frozen engine outputs, replication scripts, and vBase blockchain temporal proofs (SR 11-7 / Basel IRB aligned).

Automated validation toolkit for tabular ML models in finance and regulated domains.

Experiments using LLMs for whitepater analysis from the AI ML risk management perspective

Governed multi-LLM Responsible AI control plane for prior-authorization decision support, with PHI-safe audit trails, HITL review, evidence packets, and deterministic governance evals.

Institutional Stock Risk Engine & Governance Framework

Interactive ML model validation framework: explainability, weak spots, robustness, fairness — widget-driven, no-code demo

Institutional-grade LLM evaluation, red-teaming & telemetry framework for financial AI. Tracks 56 AI ecosystem tickers with an 18-kernel audit architecture; 10 production auditors live.

SR 11-7 & EU AI Act compliant LLM validation framework for financial services — accuracy, adversarial robustness, and explainability auditing with automated report generation.

AI Governance portfolio case study assessing a high-risk automated loan underwriting system using VerifyWise, EU AI Act, NIST AI RMF, and ISO/IEC 42001 concepts.

Independent model validation and AI governance framework for high-stakes financial decision models using public HMDA mortgage data.

raucle gives every AI agent action a cryptographic receipt: what it did, by whose authority, against which provably-enforced policy. Portable across frameworks and organisations — signed trust registry, agent passports, cross-org handshakes, compliance evidence packs.

AI Governance portfolio case study assessing a high-risk automated loan underwriting system using VerifyWise, EU AI Act, NIST AI RMF, and ISO/IEC 42001 concepts.

Governance evidence engine for ML-based small business credit underwriting: synthetic monitoring, adverse-action reason QA, fair-lending screening, and model-risk oversight.

A Weight-of-Evidence PD scorecard and an independent model validation: discrimination, calibration, stability (PSI), challenger benchmarking, and a RAG-rated validation report.

A Python benchmark for comparing LLM prompting strategies on instruction-following document generation for Model Risk Management validation reports. It evaluates techniques like zero-shot, few-shot, Chain-of-Thought, ReAct, and Reflexion across models using relevancy, completeness, specificity, and error flags such as hallucination.

Production-style synthetic credit risk decision-support platform with calibrated PD scoring, A-F risk bands, exact Linear SHAP, fairness audits, policy simulation, model monitoring, FastAPI, PostgreSQL, Power BI, Excel and governance documentation.

Model-risk governance platform for GenAI/agentic systems, built for the SR 26-2 regime. LangGraph validation agent with a deterministic attribution gate that blocks ungrounded findings before they're ever persisted. FastAPI + Next.js + Keycloak + dual-judge evals.

Al Governance portfolio case study assessing a high-risk automated loan underwriting system using VerifyWise, EU AI Act, NIST RMF, and ISO/IEC 42001 concepts.

Artian AI builds enterprise-grade agentic AI systems for financial services, letting banks, brokerages, insurers and other regulated institutions turn complex, business-critical workflows into autonomous multi-agent operations with humans fully in control.

AI-powered Retrieval-Augmented Generation (RAG) for Financial Regulations