SAS Model Risk Management on Viya: Beyond ModelOps
SAS Model Risk Management (MRM) is a purpose-built solution for managing model risk and ensuring regulatory compliance on the Viya platform. It ensures that every model undergoes the necessary stages of approval, testing, and periodic review, with full transparency for business stakeholders, risk managers, and auditors. Traditional models often function as “black boxes” understood only by their creators – SAS MRM on Viya provides governance tools for these models, and extends them to AI by adding criteria specific to modern black-box systems. And beyond compliance, the goal is to build enterprise-wide trust in models.
SAS Viya delivers a comprehensive ecosystem that goes beyond ModelOps by integrating MRM with Governance, Risk, and Compliance (GRC) capabilities. By using MRM in conjunction with broader risk solutions like SAS Governance & Compliance Manager (GCM), organizations can establish a unified system for managing risk and compliance across all domains – including models – through a single platform that supports development, governance, and oversight. GCM allows organizations to integrate otherwise separate GRC processes (such as incident management, risk assessment, and KRI monitoring) as well as internal audit and control testing frameworks. As a result, MRM together with GCM on the Viya platform delivers a reliable and transparent view of all risk exposures and compliance obligations, adding value to GRC and finance groups by automating manual processes, improving data quality, and reducing costs.
This integration fosters cross-functional collaboration among data science, risk, compliance, and business teams. The combined power of SAS risk solutions – MRM, GCM, Model Manager (MM), Visual Analytics (VA), Intelligent Decisioning (ID), Model Studio (MS), and other Viya components (i.e. Data Management tools, DataOps) – creates a synergistic effect: the whole becomes greater than the sum of its parts.
The scheme below outlines the alignment of SAS solutions with the model lifecycle and risk governance stages:
Now it is more than a ModelOps platform. It’s a foundation for responsible, transparent, and enterprise-grade model governance – empowering organizations to scale AI with confidence!
