AI Model Risk & MRM Assurance for Financial Services
Bias testing, hallucination audits, explainability, and model risk validation for banks and financial institutions deploying LLMs.
MRM 2.0: The New Standard for AI in Finance
Financial institutions must validate all AI models under Model Risk Management frameworks. LLMs introduce new risks — hallucinations, bias, prompt injection attacks — that require specialized testing beyond traditional MRM.
What We Provide
LLM Risk Evaluation (MRM‑aligned)
Comprehensive risk assessment aligned with SR 11-7 and OCC guidance for AI models.
Bias & Fairness Audits
Testing across demographics to ensure equitable outcomes and regulatory compliance.
RAG Factuality Validation
Ensure retrieval-augmented systems provide accurate, grounded financial information.
Explainability Testing
Validate that AI decisions can be explained to regulators and customers.
Safety Scoring
Quantitative risk metrics and safety scores for model governance.
MRM Documentation
Model Cards, validation reports, and compliance documentation.
Reduce AI Risk Exposure
Using Promptfoo, RAGAS, and DeepEval, we identify safety failures long before auditors or regulators do.
Regulatory Alignment
Our testing framework aligns with OCC, Federal Reserve, and CFPB expectations for AI governance.
Quantitative Risk Metrics
We provide measurable safety scores that integrate into your existing MRM framework.
Expert Validation
Independent third-party validation strengthens your audit defense and regulatory position.
Continuous Monitoring
Automated testing infrastructure catches model drift and safety regressions.
Investment
per month
- LLM risk evaluation (MRM‑aligned)
- Bias & fairness testing
- RAG factuality validation
- Model Cards & validation reports
- Quarterly audits & compliance support
Strengthen Your AI Risk Management
Get expert MRM validation and reduce regulatory risk with comprehensive AI safety testing.
Book an MRM Consultation