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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웨비나
Breaking the Silos: What Global Banks Reveal About the Future of FRAML -
웨비나
Beyond Campaigns: How Marketing Decisioning Drives Real-Time Customer Engagement -
분석 보고서
SAS is a Leader in The Forrester Wave™: Financial Crime Management Solutions, Q3 2026 -
고객 사례
Intelligent, real-time fraud decisions in 50 milliseconds -
웨비나
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
분석 보고서
SAS는 The Forrester Wave ™로부터 202년 4분기 실시간 상호작용 관리 리더로 선정되었습니다. -
분석 보고서
Datos Matrix: Fraud and AML Case Management, 2025 -
웨비나
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 -
백서
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
백서
Explainable Artificial Intelligence for Anti-Money Laundering -
백서
How AI and Machine Learning Are Redefining Anti-Money Laundering -
백서
Rethinking risk: Smarter models, better decisions -
E-BOOK
5 Steps to a Unified Enterprise Customer Decisioning Strategy -
분석 보고서
IDC MarketScape: Worldwide Decision Intelligence 2024 -
고객 사례
Revolutionizing fraud detection at Techcombank -
고객 사례
Making faster, smarter credit decisions while elevating customer experience -
고객 사례
Modern, real-time marketing grew membership and incremental sales for leading grocery retailer -
고객 사례
European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS -
기사
Next generation anti-money laundering: robotics, semantic analysis and AI -
고객 사례
Jakarta Smart City uses IoT analytics to better serve residents -
기사
4 strategies that will change your approach to fraud detection -
고객 사례
Combating financial crime and terrorism financing with real-time sanctions screening -
백서
Proactive anti-financial crime strategies to improve compliance and reduce risk -
고객 사례
Stopping payment fraud in real time -
고객 사례
One airport operator is making every journey personal for passengers -
고객 사례
Finland’s top retail bank applies AI to improve customer service and credit scoring -
고객 사례
Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond -
고객 사례
Fighting financial crime through a global anti-money laundering platform -
고객 사례
Complex telco product portfolio, maximum agility thanks to intelligent decisioning -
기사
Managing fraud risk: 10 trends you need to watch -
고객 사례
자금세탁 범죄에 맞서는 이스라엘의 위험 기반 전략 -
기사
Next generation anti-money laundering: robotics, semantic analysis and AI -
백서
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
고객 사례
북유럽 120개 은행의 범죄 예방 및 규정 준수 -
고객 사례
자금세탁 방지 활동을 지원하는 분석 기술 -
기사
Mobile payments, smurfs and emerging threats -
기사
Rethink customer due diligence -
웨비나
Orchestrating Your Multi-Wave Campaigns Through Scheduled Journeys -
웨비나
ESP Project Containers – How to Enhance ESP Models Deployment and Operationalization -
웨비나
Real-Time Agent Assist and Next-Gen Strategy for Financial Services -
웨비나 Reinforcing Compliance Programs: Future-Proofing with SAS
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웨비나
2022 Trends in Digital Fraud: ATOs, Scams and Solutions -
웨비나
Shell game shutdown: Redefining trade transaction monitoring with automation and analytics -
웨비나
Journey to AML Modernization -
웨비나
Generative AI Meets AML: Elevating Compliance Standards in Banking -
웨비나
Real-Time Watchlist Screening: Unlocking Efficiency and Compliance With SAS and Neterium -
웨비나
Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid Crisis -
웨비나
The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
웨비나
Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure Government -
백서
Intelligent Decision Automation for Telecommunications in the Digital Age -
E-BOOK
Brilliant decision?
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.