AI Model Risk & MRM Assurance for Financial Institutions
Hallucination testing, bias audits, explainability, and model safety for banks and financial institutions.
Why Financial AI Requires Enhanced MRM
AI failures = regulatory fines
Non-compliant AI models expose institutions to significant regulatory penalties
MRM 2.0 requires enhanced validation
LLMs need specialized testing beyond traditional model risk frameworks
LLMs create new compliance risks
Hallucinations, bias, and opacity introduce unprecedented risk categories
Hallucinations = legal & financial exposure
Incorrect AI outputs can lead to poor lending decisions and compliance violations
Financial AI MRM Services
LLM Hallucination Testing
High‑risk output evaluation to identify and prevent AI hallucinations in financial decision-making.
RAG Factuality Benchmarking
Precision, recall, and grounding tests to ensure retrieval systems return accurate financial information.
Bias & Fairness Audits
Regulatory-grade model risk checks across demographics to ensure equitable outcomes.
Comprehensive Model Risk Documentation
Audit-ready reports
Model Cards and validation reports that meet regulatory expectations
Explainability analysis
Detailed analysis of model decision-making processes for regulatory review
Safety drift assessments
Ongoing monitoring and reporting of model performance changes
Speak with an MRM Specialist
Get expert guidance on implementing MRM 2.0 for your AI systems and reducing regulatory risk.
Schedule Audit