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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Intelligent, real-time fraud decisions in 50 milliseconds -
Webinar
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
REPORTE DEL ANALISTA
The Forrester Wave™: Real-Time Interaction Management, Q4 2025 -
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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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Explainable Artificial Intelligence for Anti-Money Laundering -
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How AI and Machine Learning Are Redefining Anti-Money Laundering -
REPORTE DEL ANALISTA
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
White Paper
Rethinking risk: Smarter models, better decisions -
REPORTE DEL ANALISTA
Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024 -
E-book
5 Steps to a Unified Enterprise Customer Decisioning Strategy -
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IDC MarketScape: Worldwide Decision Intelligence 2024 -
HISTORIA DE CLIENTE
Revolutionizing fraud detection at Techcombank -
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Making faster, smarter credit decisions while elevating customer experience -
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Modern, real-time marketing grew membership and incremental sales for leading grocery retailer -
HISTORIA DE CLIENTE
eezor, líder europeo de BaaS, se asocia con SAS para reforzar su vigilancia contra el blanqueo de capitales y el fraude -
Artículo
Next generation anti-money laundering: robotics, semantic analysis and AI -
HISTORIA DE CLIENTE
Jakarta Smart City uses IoT analytics to better serve residents -
Artículo
4 strategies that will change your approach to fraud detection -
REPORTE DEL ANALISTA
SAS es líder en The Forrester Wave™: AI Decisioning Platforms, Q2 2023. -
HISTORIA DE CLIENTE
Combating financial crime and terrorism financing with real-time sanctions screening -
White Paper
Proactive anti-financial crime strategies to improve compliance and reduce risk -
HISTORIA DE CLIENTE
Stopping payment fraud in real time -
HISTORIA DE CLIENTE
One airport operator is making every journey personal for passengers -
Artículo
Managing fraud risk: 10 trends you need to watch -
HISTORIA DE CLIENTE
Finland’s top retail bank applies AI to improve customer service and credit scoring -
HISTORIA DE CLIENTE
Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond -
HISTORIA DE CLIENTE
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 -
Artículo
Rethink customer due diligence -
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AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
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Fast analytical defense -
Artículo
Mobile payments, smurfs and emerging threats -
Webinar
ESP Project Containers – How to Enhance ESP Models Deployment and Operationalization -
Webinar
Real-Time Agent Assist and Next-Gen Strategy for Financial Services -
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Orchestrating Your Multi-Wave Campaigns Through Scheduled Journeys -
Webinar Reinforcing Compliance Programs: Future-Proofing with SAS
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Webinar
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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Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid Crisis -
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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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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: Machine Learning -
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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.