Chartis RiskTech Quadrant® for AI Governance Solutions recognizes six areas of strength:
- Model Coverage: SAS Viya supports a broad range of model types, including traditional ML, GenAI, LLMs and agentic systems.
- Governance: SAS helps firms mitigate AI and model risks, enabling automated enforcement of AI risk frameworks and regulations.
- Data Management: SAS capabilities emphasize data privacy and protection, visibility and benchmarking/mapping, while Viya's unified platform handles structured/unstructured data with audit trails.
- Model Management: SAS MRM expertise is a foundational pillar of its AI governance strategy, underpinning a forward-thinking approach to AI model risk at all stages of use and implementation.
- Visualization: SAS Viya provides visibility of the entire ecosystem via auditable reports, traceability dashboards and explainability tools designed to detail agentic AI decision-making.
- Workflow: The SAS platform supports unified workflows to help manage AI models, with a focus on automating governance tasks.
The RiskTech Quadrant for AI governance solutions is included in the Chartis report “Governance, Resilience and Compliance Solutions, 2025 – Digital Resilience: Quadrant Update."
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. 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.” Michael Versace Chartis
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Customer Story
Intelligent, real-time fraud decisions in 50 milliseconds -
Вебинар
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
Аналитический отчет
The Forrester Wave™: Real-Time Interaction Management, Q4 2025 -
Аналитический отчет
Datos Matrix: Fraud and AML Case Management, 2025 -
Вебинар
Credit Risk Decisioning Using Intelligent Decisioning on SAS® Viya® -
E-Book
Decisions you can trust: A strategic guide to trustworthy data and AI decision making -
Технический документ
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
Технический документ
Explainable Artificial Intelligence for Anti-Money Laundering -
Технический документ
How AI and Machine Learning Are Redefining Anti-Money Laundering -
Аналитический отчет
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
Технический документ
Rethinking risk: Smarter models, better decisions -
Аналитический отчет
Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024 -
E-Book
5 Steps to a Unified Enterprise Customer Decisioning Strategy -
Аналитический отчет
IDC MarketScape: Worldwide Decision Intelligence, 2024 -
Customer Story
Modern, real-time marketing grew membership and incremental sales for leading grocery retailer -
Article
Next generation anti-money laundering: robotics, semantic analysis and AI -
Article
Next generation anti-money laundering: robotics, semantic analysis and AI -
Article
4 strategies that will change your approach to fraud detection -
Аналитический отчет
The Forrester Wave™: AI Decisioning Platforms, Q2 2023 -
Технический документ
Proactive anti-financial crime strategies to improve compliance and reduce risk -
Article
Managing fraud risk: 10 trends you need to watch -
Article
Использование Python в решениях SAS Intelligent Decisioning 5.4 -
Article
Rethink customer due diligence -
Технический документ
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
Customer Story
Preventing crime and ensuring compliance at 120 Nordic banks -
Customer Story
Fast analytical defense -
Article
Аналитика SAS помогает финансовым разведкам выявлять риски и типологии отмывания денег -
Article
Mobile payments, smurfs and emerging threats -
Вебинар
ESP Project Containers – How to Enhance ESP Models Deployment and Operationalization -
Вебинар
Real-Time Agent Assist and Next-Gen Strategy for Financial Services -
Вебинар
Orchestrating Your Multi-Wave Campaigns Through Scheduled Journeys -
Вебинар Reinforcing Compliance Programs: Future-Proofing with SAS
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Вебинар
2022 Trends in Digital Fraud: ATOs, Scams and Solutions -
Вебинар
Shell game shutdown: Redefining trade transaction monitoring with automation and analytics -
Вебинар
Journey to AML Modernization -
Вебинар
Generative AI Meets AML: Elevating Compliance Standards in Banking -
Вебинар
Real-Time Watchlist Screening: Unlocking Efficiency and Compliance With SAS and Neterium -
Вебинар
Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid Crisis -
Вебинар
The Sector Series | Game Changing AI Technology for Governments: An Introduction to Artificial and Generative Intelligence for Public Sector Leaders -
Вебинар
Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure Government -
Вебинар
The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
Технический документ
Intelligent Decision Automation for Telecommunications in the Digital Age -
E-Book
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FAQs
What is the Chartis RiskTech Quadrant® for AI governance solutions report?
It’s an independent analysis that evaluates AI governance solutions, highlighting vendor strengths and market trends.
Why is SAS recognized as a leader?
In this Chartis evaluation, SAS’ Category Leader placement reflects how it has developed MRM capabilities for generative AI (GenAI) with real-time anomaly detection – a vital feature as AI tools become more deeply embedded across the business.
How can SAS help my organization with AI governance solutions?
SAS ensures AI remains safe, trustworthy, and compliant with regulations, mitigating risks such as bias and misuse. Effective AI governance balances innovation with ethical responsibility.
What does "AI governance" mean?
It refers to the framework of policies, procedures, and ethical standards that govern and oversee the development, deployment, and operation of trustworthy AI systems.