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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Reinventing credit risk management with integrated analytics and intelligent decisioning -
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Intelligent, real-time fraud decisions in 50 milliseconds -
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AI and cloud fuel bank’s new era of fast, reliable credit risk reporting -
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The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
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Insurance fraud detection rate soars 175% with real-time intelligence -
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Automating credit decisions for a digital-first future -
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Datos Matrix: Fraud and AML Case Management, 2025 -
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Credit Risk Decisioning Using Intelligent Decisioning on SAS® Viya® -
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Decisions you can trust: A strategic guide to trustworthy data and AI decision making -
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Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
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The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
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Rethinking risk: Smarter models, better decisions -
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Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024 -
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IDC MarketScape: Worldwide Decision Intelligence, 2024 -
HISTORIA KLIENTA
Revolutionizing fraud detection at Techcombank -
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Making faster, smarter credit decisions while elevating customer experience -
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One airport operator is making every journey personal for passengers -
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Modern, real-time marketing grew membership and incremental sales for leading grocery retailer -
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European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS -
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Next generation anti-money laundering: robotics, semantic analysis and AI -
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Next generation anti-money laundering: robotics, semantic analysis and AI -
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Jakarta Smart City uses IoT analytics to better serve residents -
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4 strategies that will change your approach to fraud detection -
Raport
The Forrester Wave™: AI Decisioning Platforms, Q2 2023 -
HISTORIA KLIENTA
Combating financial crime and terrorism financing with real-time sanctions screening -
White Paper
Proactive anti-financial crime strategies to improve compliance and reduce risk -
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Stopping payment fraud in real time -
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Managing fraud risk: 10 trends you need to watch -
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Finland’s top retail bank applies AI to improve customer service and credit scoring -
HISTORIA KLIENTA
Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond -
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Fighting financial crime through a global anti-money laundering platform -
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Complex telco product portfolio, maximum agility thanks to intelligent decisioning -
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A risk-based approach to combat money laundering in Israel -
Artykuł
Rethink customer due diligence -
White Paper
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
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Preventing crime and ensuring compliance at 120 Nordic banks -
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Mobile payments, smurfs and emerging threats -
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Orchestrating Your Multi-Wave Campaigns Through Scheduled Journeys -
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ESP Project Containers – How to Enhance ESP Models Deployment and Operationalization -
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Real-Time Agent Assist and Next-Gen Strategy for Financial Services -
WEBINARIUM Reinforcing Compliance Programs: Future-Proofing with SAS
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2022 Trends in Digital Fraud: ATOs, Scams and Solutions -
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Shell game shutdown: Redefining trade transaction monitoring with automation and analytics -
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Journey to AML Modernization -
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Generative AI Meets AML: Elevating Compliance Standards in Banking -
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Real-Time Watchlist Screening: Unlocking Efficiency and Compliance With SAS and Neterium -
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The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
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Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure Government -
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The Sector Series | Game Changing AI Technology for Governments: An Introduction to Artificial and Generative Intelligence for Public Sector Leaders -
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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.