This Chartis RiskTech report recognizes SAS' strengths to include:
- Broad, integrated data engineering in a single platform,
- Operational readiness with orchestration, DevOps and governance,
- Openness for multi‑coding languages and multi‑engine execution, and
- AI‑assisted engineering and synthetic data for productivity and privacy.
SAS’ AML transaction monitoring solution demonstrates strong applicability across core financial services verticals, including retail and wholesale banking, capital markets and non-banking financial institutions (such as FinTechs). The solution’s analytical flexibility also applies across a range of regulated use cases, supporting adoption beyond traditional banking."
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Webinar
Beyond Campaigns: How Marketing Decisioning Drives Real-Time Customer Engagement -
Customer Story
Reinventing credit risk management with integrated analytics and intelligent decisioning -
Customer Story
Intelligent, real-time fraud decisions in 50 milliseconds -
Customer Story
AI and cloud fuel bank’s new era of fast, reliable credit risk reporting -
Webinar
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
Customer Story
Insurance fraud detection rate soars 175% with real-time intelligence -
Analyst Report
The Forrester Wave™: Real-Time Interaction Management, Q4 2025 -
Customer Story
Automating credit decisions for a digital-first future -
Analyst Report
Datos Matrix: Fraud and AML Case Management, 2025 -
Webinar
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 -
E-Book
The strategic bank playbook: Transforming insights into impact -
White Paper
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
White Paper
Explainable Artificial Intelligence for Anti-Money Laundering -
White Paper
How AI and Machine Learning Are Redefining Anti-Money Laundering -
Analyst Report
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
White Paper
Rethinking risk: Smarter models, better decisions -
E-Book
5 Steps to a Unified Enterprise Customer Decisioning Strategy -
Analyst Report
IDC MarketScape: Worldwide Decision Intelligence, 2024 -
Customer Story
Revolutionizing fraud detection at Techcombank -
Customer Story
Making faster, smarter credit decisions while elevating customer experience -
Customer Story
One airport operator is making every journey personal for passengers -
Customer Story
Modern, real-time marketing grew membership and incremental sales for leading grocery retailer -
Customer Story
European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS -
Article
Next generation anti-money laundering: robotics, semantic analysis and AI -
Article
Next generation anti-money laundering: robotics, semantic analysis and AI -
Customer Story
Jakarta Smart City uses IoT analytics to better serve residents -
Article
4 strategies that will change your approach to fraud detection -
Customer Story
Combating financial crime and terrorism financing with real-time sanctions screening -
White Paper
Proactive anti-financial crime strategies to improve compliance and reduce risk -
Customer Story
Stopping payment fraud in real time -
Article
Managing fraud risk: 10 trends you need to watch -
Customer Story
Finland’s top retail bank applies AI to improve customer service and credit scoring -
Customer Story
Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond -
Customer Story
Fighting financial crime through a global anti-money laundering platform -
Customer Story
Complex telco product portfolio, maximum agility thanks to intelligent decisioning -
Customer Story
A risk-based approach to combat money laundering in Israel -
Article
Rethink customer due diligence -
White Paper
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 -
Article
Mobile payments, smurfs and emerging threats -
Webinar
Orchestrating Your Multi-Wave Campaigns Through Scheduled Journeys -
Webinar
ESP Project Containers – How to Enhance ESP Models Deployment and Operationalization -
Webinar
Real-Time Agent Assist and Next-Gen Strategy for Financial Services -
Webinar Reinforcing Compliance Programs: Future-Proofing with SAS
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Webinar
2022 Trends in Digital Fraud: ATOs, Scams and Solutions -
Webinar
Shell game shutdown: Redefining trade transaction monitoring with automation and analytics -
Webinar
Journey to AML Modernization -
Webinar
Generative AI Meets AML: Elevating Compliance Standards in Banking -
Webinar
Real-Time Watchlist Screening: Unlocking Efficiency and Compliance With SAS and Neterium -
Webinar
Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid Crisis -
Webinar
The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
Webinar
Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure Government -
White Paper
Intelligent Decision Automation for Telecommunications in the Digital Age -
E-Book
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FAQs
What is the Chartis RiskTech Quadrant for AML transaction monitoring solutions report?
It’s an independent analysis that evaluates AML transaction monitoring solutions, highlighting vendor strengths and market trends.
Why is SAS recognized as a leader?
In this Chartis evaluation, SAS stands out for its integrated data engineering platform, operational readiness, support for multiple coding languages, and AI-assisted analytics.
How can SAS help my organization with AML transaction monitoring solutions?
SAS automates manual investigative processes, detecting complex threats with industry-leading AI and machine learning capabilities.
What does "AML transaction monitoring" mean?
It refers to the process of continuously analyzing financial transactions to detect, report and manage potentially suspicious activity.