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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ウェビナー
Beyond Campaigns: How Marketing Decisioning Drives Real-Time Customer Engagement -
ウェビナー
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
〓分析◆アナリスト・〓レポート
The Forrester Wave™: Real-Time Interaction Management, Q4 2025 -
〓分析◆アナリスト・〓レポート
Datos Matrix: Fraud and AML Case Management, 2025 -
ウェビナー
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 -
ホワイトペーパー
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
ホワイトペーパー
Explainable Artificial Intelligence for Anti-Money Laundering -
ホワイトペーパー
How AI and Machine Learning Are Redefining Anti-Money Laundering -
〓分析◆アナリスト・〓レポート
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
ホワイトペーパー
Rethinking risk: Smarter models, better decisions -
e-Book
5 Steps to a Unified Enterprise Customer Decisioning Strategy -
〓分析◆アナリスト・〓レポート
IDC MarketScape: Worldwide Decision Intelligence 2024 -
ユーザー事例
リアルタイムの制裁スクリーニングにより、金融犯罪やテロ資金供与に対抗 -
ホワイトペーパー
Proactive anti-financial crime strategies to improve compliance and reduce risk -
ユーザー事例
フィンランド最大手のリテール銀行、顧客サービスとクレジット・スコアリングを改善するためにAIを適用 -
ホワイトペーパー
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
ユーザー事例
アナリティクスがマネーロンダリング対策の原動力を供給 -
ウェビナー
ESP Project Containers – How to Enhance ESP Models Deployment and Operationalization -
ウェビナー
Real-Time Agent Assist and Next-Gen Strategy for Financial Services -
ウェビナー
Orchestrating Your Multi-Wave Campaigns Through Scheduled Journeys -
ウェビナー Reinforcing Compliance Programs: Future-Proofing with SAS
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ウェビナー
2022 Trends in Digital Fraud: ATOs, Scams and Solutions -
ウェビナー
Shell game shutdown: Redefining trade transaction monitoring with automation and analytics -
ウェビナー
Journey to AML Modernization -
ウェビナー
Generative AI Meets AML: Elevating Compliance Standards in Banking -
ウェビナー
Real-Time Watchlist Screening: Unlocking Efficiency and Compliance With SAS and Neterium -
ウェビナー
Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid Crisis -
ウェビナー
Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure Government -
ウェビナー
The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
ホワイトペーパー
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.