SAS Model Risk Management
Get a complete model risk management solution that includes a centralized model inventory and model assessment capabilities.
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Centralize model information management
Establish a centralized model inventory that supports your internal policies and procedures across all business units. The solution's robust infrastructure includes permissions, version control and data mining capabilities. And you can import attributes and metadata – e.g., model limitation scoring, validation results and criticality ratings – from any type of model developed in any technology.
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Document & track models throughout the model life cycle
Effectively track model issues, concerns, challenges and remediation with a rigorous model review and validation process that satisfies regulatory principles and expectations. A single source of model documentation consistently records the review and validation process, which can be can be examined at various levels, including model lineage, version, business line, model owner and more.
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Gain greater insight into model risk concentrations
Analyze thousands of data points – using both quantitative and qualitative data – to gain greater insight into your organization’s model risk concentrations. Interactive visualizations tell your model risk story clearly and accurately to broaden institutional awareness and facilitate appropriate board-level oversight. And users can easily drill down through reports to learn more.
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Keep pace with changing risk policies & regulations
Quickly tune your model review and validation practices to stay on top of ever-changing risk policies and regulatory requirements. Governance tools help enforce appropriate signoffs, legal reviews and testing on a consolidated platform.
Key features
Get clear, enterprise-level oversight throughout the model life cycle. Keep executive management and regulators up to date on model status across all risk categories. And gain valuable insight for making precise risk-reward decisions.
Comprehensive risk data management
Ensures that the data used to develop, validate and monitor your models is complete, accurate and timely, appropriately aggregated and effectively governed.
Centralized model inventory
Provides complete document and workflow management, regardless of model type, source or development technology.
Model review & validation
Governance tools enforce appropriate signoffs, legal reviews and testing on a consolidated platform that records the entire conversation.
Data governance & metadata management
Includes integrated business glossary, SAS and third-party metadata management, and lineage visualization.
Model usage tracking & change management capabilities
Adapt and implement policies to accommodate changing regulatory guidance on model development, validation, implementation, monitoring and change management.
Dashboards
Provides data exploration capabilities that let you design and distribute meaningful data visualization reports.
Chartis RiskTech100® 2026 Awards
SAS ranks No. 2 overall – with seven category wins
Continuing its march up the world’s foremost ranking of the Top 100 risk management and compliance technology providers, SAS bested seven technology award categories, including AI for Banking, Balance Sheet Risk Management, Behavioural Modelling, Enterprise Stress Testing, IFRS 9, Model Risk Management, and Risk & Finance Integration.
Related products & solutions
SAS Model Risk Management frequently asked questions
What is SAS Model Risk Management?
SAS Model Risk Management is a software solution that centralizes all models used by an organization, helping manage, document, validate and monitor them under a unified governance framework.
What does SAS Model Risk Management do?
SAS Model Risk Management maintains a centralized model inventory, tracks model life cycle events (versioning, lineage, validation, usage), monitors performance, and helps meet regulatory and internal compliance requirements.
What are the main benefits of using SAS Model Risk Management
SAS Model Risk Management improves transparency into model usage and risk, enforces consistent governance, reduces audit and regulatory risk, and provides scalable oversight across all model types and business units.
Who uses SAS Model Risk Management?
SAS Model Risk Management is used by financial institutions and other organizations that rely on multiple predictive or analytical models – including statistical, machine learning, risk, credit and compliance models – to ensure regulatory compliance and robust governance.
Can SAS Model Risk Management help with regulatory compliance and audits?
Yes, SAS Model Risk Management offers structured documentation, version control, validation tracking, audit-ready model lineage and usage reports to help satisfy regulatory and governance requirements.