Chartis Research has named SAS a category leader in the Chartis RiskTech Quadrant® for AI Governance Solutions. Among 28 vendors evaluated in this quadrant—as part of a broader assessment of the governance, resilience, and compliance solutions market—Chartis also recognized SAS as best-in-class in model management and workflow categories.
Quick Intel
SAS Viya stands out for its integrated trustworthy AI controls that make systems reliable, explainable, and human-centered. These features include built-in bias detection, human-in-the-loop oversight at key decision points, and lifecycle monitoring to detect drift, automate documentation, and trigger retraining.
Best-in-Class and Advanced Capabilities
SAS demonstrates best-in-class performance in model management through its deep model risk management (MRM) expertise. This supports forward-thinking AI model risk handling across all stages, with audit trails and interpretability tools that address evolving regulatory needs in sectors like banking.
In workflow, SAS Viya enables unified pipelines that automate governance tasks, improve data visibility, speed up decisions, and enforce compliance checkpoints.
Advanced capabilities include governance features that automate enforcement of AI-risk frameworks and regulations, with human oversight for accountability via explainability and reviews. Data management focuses on privacy, protection, visibility, and synthetic data generation for secure testing. Visualization and dashboarding provide auditable reports, traceability, and tools to explain agentic AI decisions, fostering stakeholder trust and supporting regulatory reporting.
Model coverage extends to traditional machine learning, GenAI, large language models, and agentic systems, allowing enterprise inventory and controls for transparency, accuracy, fairness, and tracking.
What is AI Governance?
AI governance establishes oversight, ensures compliance, and builds consistent operations and infrastructure. It promotes a human-centric culture with transparency and accountability. Robust frameworks build trust with customers, regulators, and stakeholders, enabling confident AI risk management. Without it, organizations risk legal penalties, reputational harm from biased decisions, inefficiencies, and eroded trust.
How SAS Supports AI Governance
Drawing on decades of governance experience, SAS embeds capabilities across SAS Viya and its risk, fraud, and compliance portfolio. These include model risk management, interpretability, bias detection and mitigation, and data masking. Upcoming SAS AI Navigator will centralize visibility and control over AI usage, models, agents, and assessments for responsible adoption. SAS AI Governance Manager targets highly regulated sectors like banking and insurance with enterprise-grade compliance, policy controls, MRM, and deployment.
Technology and Industry Leadership
This recognition adds to SAS's strong Chartis track record, including No. 2 overall in the Chartis RiskTech100® 2026, wins in seven RiskTech100® solution categories (AI for banking, balance sheet risk management, behavioral modeling, capital optimization, enterprise stress testing, IFRS 9, and MRM), category leadership in all six ALM market quadrants, and leadership in seven credit risk management sectors.
Strong governance unlocks AI's potential while minimizing risks, providing a roadmap for confident, responsible innovation in regulated environments.
About SAS
SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2026 SAS Institute Inc. All rights reserved.
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