Chartis names SAS a leader in AI governance solutions

Chartis Research has ranked SAS as a category leader in its RiskTech Quadrant for AI Governance Solutions, placing the analytics software group among the top-rated vendors in a market drawing increasing scrutiny from regulators and boards.

The assessment reviewed 28 suppliers as part of a broader study of governance, resilience and compliance technology. Chartis also named SAS best-in-class for model management and workflow.

Chartis highlighted the breadth of governance functions in SAS Viya, SAS's data and AI platform. It pointed to controls for established machine-learning use cases as well as newer approaches that organisations are starting to deploy more widely.

"The SAS Viya platform includes leading governance capabilities that extend classic machine learning, model risk management, explainability, bias detection, privacy protection and end-to-end monitoring to the broader enterprise AI environment," said Michael Versace, Research Director for Governance, Resilience and Compliance at Chartis. "By combining these capabilities with its deep expertise in regulated industries, SAS is in a position to demonstrate AI as a growth strategy for clients and prospects."

Governance focus

AI governance has become a priority for organisations rolling out AI at scale. Firms are under pressure to strengthen oversight of models and data, and to show that controls exist around decision-making, monitoring and accountability.

The discipline is also moving beyond compliance departments. Banks, insurers and other regulated organisations have applied formal model risk management practices for years. Similar expectations are now extending to a broader range of AI systems, including large language models and more autonomous "agentic" tools.

SAS frames AI governance as a management approach that spans oversight, compliance and consistent operations. It links governance to transparency and accountability, with assurances for internal stakeholders such as boards and employees, as well as regulators and customers.

Stu Bradley, Senior Vice President of Risk, Fraud and Compliance Solutions at SAS, said organisations increasingly see governance as both a business differentiator and a risk control.

"AI governance isn't a compliance exercise - it's a competitive advantage," Bradley said. "When organizations get it right, they move faster, they build deeper trust and they get in front of risk instead of reacting to it. Chartis' latest recognition reflects what our customers already know: with SAS, governance is built in, not bolted on."

Model controls

Chartis cited model management as a best-in-class area for SAS. In practice, model management typically covers model inventory, documentation, performance tracking and governance sign-offs. It also includes monitoring for drift, which occurs when performance changes as real-world data evolves.

Within SAS Viya, lifecycle monitoring detects drift, automates documentation and triggers retraining, according to the Vendor Spotlight referenced in the Chartis evaluation. The write-up also noted audit trails and interpretability tools, which are often key requirements in regulated financial services.

Workflow was the second best-in-class category. Chartis described unified workflows in the SAS platform for managing AI models and automating governance tasks. It pointed to structured pipelines that improve data visibility and enforce checkpoints and compliance gates.

Chartis also highlighted several "advanced" areas where it said SAS offers depth across the governance stack. These include functions that map to AI risk frameworks and regulations, and support reviews and explainability checkpoints throughout the lifecycle.

Data and reporting

Data management was another part of the assessment. Chartis highlighted privacy and protection measures, along with visibility, benchmarking and mapping. It also referenced support for structured and unstructured data and the use of audit trails.

Chartis pointed to SAS Data Maker as a tool for generating synthetic data for testing under more controlled conditions. Synthetic data has gained traction as organisations look for ways to test models without exposing sensitive or restricted information.

Visualisation and dashboarding also featured in the evaluation. Chartis described auditable reports and traceability dashboards, with explainability tools used to detail agentic AI decision-making. It also referenced support for human-in-the-loop oversight and regulatory reporting.

On model coverage, Chartis said SAS Viya supports traditional machine learning, generative AI, large language models and agentic systems. It described an enterprise inventory and control environment that extends governance across transparency, accuracy, fairness and lifecycle tracking.

Product roadmap

SAS said it will add SAS AI Navigator next quarter. It described the tool as centralising information about models, agents and use cases, and including assessments focused on visibility and control of AI usage.

SAS also highlighted SAS AI Governance Manager, which it positions for highly regulated industries such as banking and insurance. SAS said it includes governance and policy controls, model risk management and model deployment.

The Chartis recognition adds to a wider set of ratings SAS has received from the research firm across risk management categories. SAS was placed No. 2 overall in the Chartis RiskTech100 2026 ranking, and Chartis has also named it a category leader across several quadrants covering asset and liability management and credit risk management.