What is SAS AI Governance Manager?
SAS AI Governance Manager is an AI governance solution that helps organizations establish oversight, accountability and control across the AI life cycle. The solution supports AI governance through centralized inventories, risk assessments, monitoring, workflows and reporting designed to promote trustworthy and responsible AI.
How does SAS AI Governance Manager work?
SAS AI Governance Manager helps organizations inventory, assess, monitor and govern AI systems, models, agents and use cases throughout the AI life cycle. Extending traditional model risk management capabilities, it provides centralized oversight, risk assessments, governance workflows, performance monitoring and audit-ready documentation to support responsible AI and regulatory compliance at scale.
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Establish enterprisewide AI oversight
AI use case and system inventory captures all AI assets across the enterprise, while classification and risk tiering assess their criticality and regulatory exposure. End-to-end lineage provides transparency into how models, data and dependencies connect across the AI value chain.
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Assess and manage AI and model risk
A centralized model inventory links AI assets to risks, supported by comprehensive assessments of performance, stability, explainability, bias and operations. Built-in testing and governed workflows ensure responsible use, while findings, remediation and full audit trails provide accountability and traceability over time.
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Monitor AI performance and drift
Continuously monitor AI systems and models for performance degradation, drift and emerging risks. Automated alerts and governance workflows help stakeholders identify issues early, investigate root causes and take corrective action before business impact occurs.
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Ensure human oversight and accountability
Executive dashboards provide visibility into AI risk and compliance, supported by embedded policies and controls. Role-based workflows ensure the right stakeholders are involved, with clear ownership and sign-off across the life cycle.
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Scale AI governance across the enterprise
Apply consistent governance policies, controls and oversight across AI systems, models, agents and use cases. Standardized processes help organizations expand AI adoption while managing risk, maintaining compliance and supporting responsible innovation.
Key features
Govern AI in regulated industries
Support AI governance initiatives with controls, workflows and documentation designed to help you meet evolving regulatory and compliance requirements. Maintain oversight, accountability and transparency across AI systems, models and use cases.
Assess AI risk consistently
Apply a standardized approach to evaluating AI risk across the enterprise. Classify AI systems based on their business impact, regulatory exposure and risk profile to help ensure governance policies are applied consistently.
Maintain a comprehensive AI inventory
Create a centralized inventory of AI systems, models, use cases and AI agents. Document ownership, risk levels, model characteristics and dependencies to improve visibility, traceability and oversight.
Apply governance controls across the AI life cycle
Govern AI from development through deployment and monitoring. Integrated with SAS Viya, the solution supports data governance, fairness and bias testing, explainability analysis, approval workflows and ongoing oversight throughout the AI life cycle.
Monitor AI performance continuously
Track model and AI system performance over time with continuous monitoring and automated alerts. Detect drift, degradation and emerging risks early so stakeholders can take timely corrective action.
Operationalize a standardized risk framework
Translate AI governance policies into repeatable processes with governed workflows, assessments, approvals and reporting. Ensure stakeholder alignment, support audit readiness and create a consistent approach to managing AI risk across the organization.
Chartis RiskTech100® 2025 Awards
SAS ranks #2 overall – with six category wins
SAS is ranked second overall in the world's foremost ranking of the Top 100 risk management and compliance technology providers. SAS also bested six technology award categories, including AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Enterprise Stress Testing, IFRS 9 and Model Risk Management.
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SAS AI Governance Manager frequently asked questions
What is SAS AI Governance Manager?
AI governance is the framework of policies, processes, controls and oversight used to ensure artificial intelligence systems are transparent, accountable, compliant and aligned with organizational objectives. Effective AI governance helps organizations manage risk, monitor performance, document decisions and comply with evolving regulations throughout the AI life cycle.
Who should use SAS AI Governance Manager?
SAS AI Governance Manager is designed for organizations that need to manage AI risk, demonstrate accountability and maintain oversight of AI systems. It is particularly valuable for highly regulated industries such as financial services, government, health care, life sciences and manufacturing, where transparency, compliance and trust are critical.
How does SAS AI Governance Manager help organizations govern AI?
SAS AI Governance Manager provides a structured framework for governing AI across the enterprise. Organizations can maintain inventories of AI systems and use cases, assess risk, monitor performance, document decisions, assign accountability and apply governance controls throughout the AI life cycle. This helps organizations scale AI adoption while managing risk and supporting responsible AI practices.
How does SAS AI Governance Manager support AI risk management?
The solution helps organizations identify, assess and monitor risks associated with AI systems, models and agents. Capabilities include AI inventories, risk classification and tiering, performance monitoring, drift detection, explainability analysis, bias assessments, governance workflows and audit trails. Together, these capabilities help organizations proactively manage AI and model risk.
How is SAS AI Governance Manager different from SAS Model Risk Management?
SAS Model Risk Management focuses on governing traditional analytical and machine learning models. SAS AI Governance Manager extends those capabilities to address the broader governance requirements of modern AI, including AI systems, AI agents, generative AI applications and enterprise AI use cases. Together, the solutions provide comprehensive oversight across both traditional models and emerging AI technologies.
Can SAS AI Governance Manager help with AI regulatory compliance?
SAS AI Governance Manager helps organizations establish governance processes, documentation and controls that support regulatory readiness. Features such as risk assessments, workflow approvals, audit trails, reporting and accountability mechanisms help demonstrate oversight and compliance with internal policies and evolving regulatory requirements. Organizations should evaluate their own compliance obligations and regulatory requirements.
How does SAS AI Governance Manager integrate with SAS Viya and other AI tools?
SAS AI Governance Manager is integrated with SAS Viya and supports a governance-by-design approach across the AI life cycle. Organizations can connect governance processes with data management, model development, testing, monitoring and reporting capabilities. Through APIs and integration capabilities, organizations can incorporate AI assets and governance activities from SAS and third-party environments into a unified governance framework.
