Make confident decisions with AI governance solutions you can trust

Monitor, manage and govern AI systems across their life cycle – reducing risk, improving transparency and supporting regulatory compliance.

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:


Strengthening data governance


Centralizing AI inventory and reducing shadow AI


Governing AI agents and autonomous systems


Managing model risk across integrated workflows


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.

Govern data and build trustworthy AI

Integrate AI governance, data governance and trustworthy AI principles into every stage of the data and AI life cycle. Ensure data quality, model integrity and ethical AI practices at every decision point.

Powered by: SAS Viya

  • End-to-end AI life cycle governance
  • Model development, deployment and monitoring
  • Built-in explainability, bias detection and risk controls

Strengthen life cycle governance and model risk management

Monitor model performance, manage model risk and maintain compliance with evolving regulatory requirements. Ensure models are validated, documented and auditable.

Powered by: SAS AI Governance Manager

  • Model risk management and validation
  • Auditability and regulatory compliance tracking
  • Centralized governance workflows

Enhance AI visibility across your organization

Gain a unified, enterprisewide view of AI assets—including models, pipelines and external AI systems. Detect shadow AI and improve oversight across all AI use cases, including generative AI.

Powered by: SAS AI Navigator (coming summer 2026)

  • AI asset discovery and inventory management
  • Shadow AI detection and monitoring
  • Governance across internal and third-party AI systems

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.

Where are you in your AI governance journey?

Assess your organization’s AI governance maturity and identify next steps for improvement. The AI Governance Map helps you:

  • Understand your current governance capabilities.
  • Benchmark against industry best practices.
  • Receive personalized recommendations.
The AI Governance map

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.

What are examples of trustworthy AI governance in action?

  • ReaDDI logo

    Accelerating drug discovery with AI

    The Rapidly Emerging Antiviral Drug Development Initiative (READDI) uses AI and machine learning to develop antiviral treatments while maintaining governance over data, models and outcomes.

  • Hillsborough Community College logo
    Smiling graduates standing together

    Improving student success with AI

    Hillsborough Community College uses AI to increase graduation rates while ensuring responsible and transparent use of student data.

  • Fund for Peace

    Young African girl with water bottle

    Strengthening global resilience

    Fund for Peace uses SAS to model risk and improve crisis preparedness with transparent, accountable AI systems.

  • Emirates Health Services

    Advancing responsible AI in health care

    Emirates Health Services (EHS) uses SAS to improve clinical decision-making while ensuring transparency, fairness and compliance.


    Analyst recognition: AI governance

    SAS IS A CATEGORY LEADER

    Chartis RiskTech Quadrant® for AI Governance Solutions, 2025

    Recommended resources for AI governance solutions

    Report

    Data and AI Impact Report: The Trust Imperative

    Webpage

    Responsible innovation: SAS is committed to AI that is ethical, equitable and sustainable

    E-Book

    How to govern your AI strategy in a highly regulated world

    Infographic

    AI Governance: Strengthen trust and transparency in AI decisions


    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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