Why choose SAS for AI governance solutions?
SAS provides end-to-end AI governance software that helps organizations manage model risk, ensure compliance and build trustworthy AI systems across the entire AI life cycle.
Strengthen trust in AI decisions
Build explainable, transparent and auditable AI systems. Detect and mitigate bias, document model behavior and increase confidence among regulators, customers and stakeholders.
Achieve governance by design
Embed governance controls directly into AI development and deployment workflows. Ensure compliance, auditability and risk management are built in – not added later.
Simplify AI governance operations
Standardize governance processes across models, teams and business units. Automate documentation, monitoring and reporting to reduce manual effort and operational complexity.
Scale AI responsibly
Adapt to evolving regulations, technologies and AI use cases – including generative AI – using a flexible, enterprise-ready governance framework.
The SAS approach to AI governance
SAS uses a four-part framework to help organizations operationalize AI governance at scale. This approach ensures AI systems are compliant, transparent and aligned with business and ethical goals.
Oversight
Establish governance policies and ensure AI systems align with ethical standards, regulatory requirements and organizational objectives. Provide guidance across AI initiatives, including development, procurement and deployment.
Operations
Design and deliver AI systems that align with business needs, regulatory expectations and data and AI ethics principles. Operationalize governance within day-to-day AI workflows.
Compliance
Continuously monitor, audit and validate AI systems to ensure adherence to policies and regulations. Identify risks early and implement mitigation strategies before deployment.
Culture
Foster a culture of responsible AI by enabling collaboration, knowledge sharing and consistent adoption of governance best practices across teams.
What does AI governance software do?
AI governance software provides the tools and processes needed to oversee AI systems and reduce risk at scale. Key capabilities include:
Centralizing AI inventory and reducing shadow AI
Supporting compliance with regulatory requirements
Monitoring AI models across their full life cycle
Providing model explainability and transparency
Detecting and mitigating bias in model predictions
How SAS delivers AI governance across the AI life cycle
SAS provides integrated AI governance that enables organizations to manage risk, address compliance and build trustworthy AI systems across the entire AI life cycle.
How does SAS govern generative AI and AI agents?
SAS extends AI governance to generative AI, LLMs and autonomous agents, helping organizations manage emerging risks and facilitate the responsible use of agentic workflows.
Monitor LLM outputs for bias, hallucinations and risk.
Track prompt and response behavior for transparency.
Govern AI agents and automated decision systems.
Apply consistent compliance and policy controls.
Manage third-party and embedded AI models.
What is the SAS AI Governance Advisory?
Realize the full potential of your AI systems and accelerate trustworthy AI with a comprehensive AI governance strategy tailored to your organizational goals.
Get expert guidance on AI governance
The SAS AI Governance Advisory Group provides expert support to help organizations design, implement and scale effective AI governance frameworks. Our advisors:
- Identify gaps in your current approach.
- Develop actionable recommendations and roadmaps.
- Align AI initiatives with regulatory and ethical standards.
- Execute governance strategies across teams and technologies.
Whether you're building an AI governance strategy or optimizing an existing program, SAS provides the expertise to help you move forward with confidence.
What are common use cases for AI governance solutions?
Organizations use AI governance solutions across industries to manage risk, ensure compliance and build trust in AI systems.
- Model risk management in financial services.
- Bias detection and fairness monitoring in health care.
- Regulatory compliance in insurance and banking.
- AI transparency in public sector decision-making.
- Governance of generative AI and LLM applications.
SAS AI governance solutions frequently asked questions
What is AI governance?
AI governance is a framework of processes, policies and technologies used to oversee AI systems. It ensures AI is transparent, compliant, ethical and aligned with organizational and regulatory requirements
Why is AI governance important?
AI governance helps organizations reduce risk, ensure compliance and build trust in AI-driven decisions. Without it, organizations face regulatory penalties, reputational damage and unreliable AI outcomes.
What is AI governance software?
AI governance software provides tools to monitor, manage and control AI systems. It supports model risk management, explainability, compliance and life cycle oversight.
What is trustworthy AI?
Trustworthy AI is an artificial intelligence system designed, developed and deployed with human-centricity in mind. These systems incorporate appropriate levels of accountability, inclusivity, transparency, completeness and robustness to promote human agency and prevent human harm. Trustworthy AI ensures that safety, reliability and ethical considerations align with AI governance principles.
How does AI governance apply to generative AI?
AI governance ensures generative AI systems are monitored for bias, hallucinations and risk, while maintaining transparency, accountability and compliance.
How does SAS support AI governance?
SAS supports AI governance with capabilities embedded throughout SAS Viya. Users can perform model risk management, model interpretability, bias detection and mitigation, data masking and more. Additionally, with expertise from our AI Governance Advisory Group, SAS provides strategic insights around AI governance strategy to help plan AI governance maturity and readiness.
How is AI governance different from data governance and model governance?
- Data governance manages data quality, access and security
- Model governance oversees model development and performance.
- AI governance unifies both to ensure responsible, compliant AI systems.
AI governance and trustworthy AI work together. AI governance is what organizations do to accelerate innovation and ensure AI is trustworthy.
Connect with SAS AI governance experts
Whether you're looking to strengthen trust in your AI decisions, navigate evolving regulations or streamline your operations, we're here to help. Fill out the form to:
- Request a demo: See how SAS AI governance software can help you promote transparency and build trustworthy AI.
- Get in touch with the AI Governance Advisory Group: Get expert guidance, identify gaps and receive actionable recommendations for your AI governance framework.
- Get more information on AI governance software from SAS: Learn how our comprehensive frameworks empower responsible AI innovation.
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