Model Validation
Critical LLM validation services for banks, financial institutions, and AI vendors. Ensure regulatory compliance and pass due diligence processes with comprehensive model risk management.
Model Risk Management Consulting
Comprehensive Model Validation Services
Banks face increasing pressure to validate both internal AI models and vendor-procured systems, while AI vendors must demonstrate robust model risk management to pass due diligence and regulatory scrutiny.
Our expert team provides comprehensive model risk management consulting and specialized validation services for Large Language Models, ensuring regulatory compliance and risk mitigation across your entire model portfolio.
Banks and Financial Institutions
Banks must validate every model in their portfolio—whether built internally or procured from vendors. Regulatory requirements demand comprehensive validation, but the complexity increases exponentially with AI and LLM adoption.
Challenge
Internal teams may lack specialized model risk expertise, leading to validation gaps
ComplyGraph
Independent validation with deep expertise in AI model risk management
Common Internal Models
Challenge
Limited visibility into vendor model development, training data, and risk controls
ComplyGraph
Comprehensive vendor model assessment with due diligence and ongoing monitoring
Common Vendor Models
AI and LLM Vendors
AI vendors and technology providers face rigorous due diligence processes when selling to banks and financial institutions. Strong model validation and risk management documentation is essential to close deals and maintain customer relationships.
Due Diligence Requirements
Banks demand comprehensive model documentation, risk assessments, and compliance frameworks
Regulatory Scrutiny
Regulators require detailed model risk management documentation for vendor AI systems
Competitive Disadvantage
Lack of proper validation can disqualify you from RFPs and procurement processes
Common Deal Blockers
Due Diligence Package
Complete model validation documentation ready for bank procurement processes
Regulatory Compliance
SR 11-7, EU AI Act, and other regulatory framework compliance documentation
Sales Enablement
Validation reports and risk assessments that accelerate sales cycles
Vendor Benefits
Industry-Specific Expertise
Deep domain knowledge across financial services sectors with specialized LLM validation expertise, ensuring regulatory compliance and risk mitigation for Large Language Model deployments.
Banking
Customer service, document processing, and compliance automation
Fintech
Lending decisions, fraud detection, and customer onboarding
Wealth Management
Investment advice, client communication, and portfolio analysis
Payments
Transaction monitoring, fraud detection, and merchant risk assessment
Mortgage Lead Generation
Lead scoring, customer communication, and compliance monitoring
Receivables Management
Collection strategies, customer communication, and risk assessment
LLM-Specific Risk Considerations
Large Language Models introduce unique risk factors that require specialized validation approaches beyond traditional model risk management.
Bias & Fairness
Comprehensive testing for algorithmic bias, demographic parity, and fairness across protected classes in financial decision-making.
Data Quality & Privacy
Validation of training data quality, privacy compliance, and data lineage for LLM training and fine-tuning processes.
Prompt Engineering Validation
Testing prompt robustness, injection resistance, and consistency across different input variations and edge cases.
Output Consistency
Validation of model output stability, reproducibility, and consistency across similar inputs and use cases.
Security & Adversarial Testing
Comprehensive security testing including prompt injection, jailbreaking attempts, and adversarial input validation.
Regulatory Alignment
Ensuring LLM implementations align with evolving regulatory guidance on AI in financial services.
Our Validation Process
A systematic approach to LLM validation that ensures comprehensive risk assessment and regulatory compliance for Large Language Model deployments.
1. Compliance Review
Comprehensive review of training data, prompt engineering, and model architecture documentation.
2. Risk Assessment
Comprehensive risk assessment including bias, fairness, security vulnerabilities, and regulatory compliance.
3. LLM-Specific Testing
Bias testing, hallucination detection, prompt injection resistance, and output consistency validation.
4. Ongoing Management
Continuous monitoring, performance tracking, and regulatory compliance management for deployed LLMs.
See Our Platform in Action
Our model validation services are powered by our integrated platform, providing comprehensive AI governance and regulatory compliance tools.
AI Model Risk Management Program
Metadata
Regulatory Knowledge Base
Instant access to AI regulations, model governance frameworks, and compliance guidance for LLM deployments.
AI Model Risk Management
AI-Powered Compliance Analysis
AI-powered analysis automatically processes LLM model documentation and identifies risk and compliance gaps.
LLM Model Risk Assessment
AI AnalysisAnalysis of LLM Model Documentation against SR 11-7 and EU AI Act requirements
Based on analysis of your LLM model documentation against current regulatory requirements, there are significant gaps in your model risk management framework.
Your existing framework covers approximately 40% of required LLM risk management areas.
Approximately 60% of LLM risk management requirements are not adequately covered.
Leverage existing model risk management efforts to accelerate LLM compliance.
Click to view full analysis →
Validation Workflow Automation
Intelligent workflows coordinate model validation teams, governance approvals, and risk assessment processes.
AI Model Risk Assessment Workflow
Select model documentation and choose a risk assessment workflow to generate comprehensive AI governance insights
Comprehensive model validation following Federal Reserve guidelines
Evaluate model fairness across demographic groups and languages
Identify and prevent false information generation
Audit and prevent training data exposure in outputs
Continuous monitoring of model performance degradation
High-risk AI system compliance assessment
Selected Model Documents (7)
Risk Assessment Workflow Preview
Evaluate model fairness across demographic groups and languages
Automated Model Validation Workflows
Our platform automates the entire model validation process with intelligent workflows that coordinate documentation review, testing, risk assessment, and governance approvals.
Start
New LLM Model Deployment
Model Documentation
Architecture, training data, performance metrics
Bias & Fairness Testing
Automated fairness assessment
Performance Validation
Accuracy, latency, throughput testing
Risk Assessment
Model risk scoring & classification
Governance Approval
Model risk committee review
Production Deployment
Approved model goes live
Continuous Model Monitoring
Automated monitoring workflows ensure your validated models continue to perform as expected with ongoing risk assessment and compliance tracking.
Daily Model Performance Check
Runs every morning at 6 AM
Weekly Drift Detection
Runs every Monday
Monthly Risk Assessment
Runs 1st of each month
Quarterly Model Review
Runs every 3 months
Recent Activity
Scale model risk management with ComplyGraph
Whether you're a bank validating internal models, procuring vendor solutions, or an AI vendor seeking to accelerate sales cycles with banks and FIs, our comprehensive validation services ensure regulatory compliance and risk mitigation across your entire model portfolio.