SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024
As noted in the Forrester evaluation, "SAS provides a broad selection of out-of-the-box EFM machine learning models. The vendor's EFM vision and product roadmap are first-rate and include not only transaction monitoring but also cyber (online) fraud management."
SAS’s productized, out-of-the-box supervised and unsupervised machine learning models for banking transaction monitoring are ahead of the competition and require less effort to train than those of competitors. Analyst investigation screens are intuitive and customizable. Reporting is versatile, visually pleasing, and easy to configure."
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客戶案例
Intelligent, real-time fraud decisions in 50 milliseconds -
網路研討會
Why procurement risks are rising — and how proven payment integrity ROI shows that action can’t wait -
網路研討會
Top 5 Global Fraud Trends for 2026: What Public Sector Leaders Need to Know -
白皮書
Detect and prevent digital banking fraud -
網路研討會
Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure Government -
網路研討會
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
白皮書
How AI and Machine Learning Are Redefining Anti-Money Laundering -
分析報告
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring, 2024 -
分析報告
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
分析報告
Datos Matrix: Fraud and AML Case Management, 2025 -
電子書
Public procurement integrity at risk -
白皮書
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
網路研討會
Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid Crisis -
網路研討會
The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
網路研討會
The Sector Series | Game Changing AI Technology for Governments: An Introduction to Artificial and Generative Intelligence for Public Sector Leaders -
網路研討會
Product Build Deep Dive: Payment Integrity for Procurement via Solution Factory -
電子書
On the Road to Accelerating Claims Automation -
分析報告
Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024 -
網路研討會
From Data to Insights: Leveraging SAS Visual Investigator Scenarios For Anomaly Detection -
分析報告
SAS 在 Forrester Wave™ 2023 年第二季度 AI 決策平台報告中被評為領導者。 -
白皮書
Explainable Artificial Intelligence for Anti-Money Laundering -
文章
Payment fraud evolves fast – can we stay ahead? -
文章
Online fraud: Increased threats in a real-time world -
文章
Mobile payments, smurfs and emerging threats -
文章
Strengthen your payment fraud defenses with stronger authentication -
電子書
Seven trends shaping the future of tax -
文章
The best gift you can give to thieves this holiday season? Your identity. -
電子書
5 Steps to a Unified Enterprise Customer Decisioning Strategy -
白皮書
Achieving program integrity for health care cost containment -
白皮書
Anti-Fraud Technology -
白皮書
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
網路研討會
Driving Tax Administration Excellence: 2025 Strategies -
網路研討會
Real-Time Watchlist Screening: Unlocking Efficiency and Compliance With SAS and Neterium -
白皮書
Procurement integrity powered by continuous monitoring -
網路研討會 Reinforcing Compliance Programs: Future-Proofing with SAS
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網路研討會
Trustworthy AI: Understanding the Liability and Consequences of AI Models in Production -
電子書
Your journey to a GenAI future: A strategic path to success in banking -
網路研討會
Generative AI Meets AML: Elevating Compliance Standards in Banking -
網路研討會 Fraud Trends to Watch
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白皮書
What Lies Beneath -
白皮書
Generative AI in Health Care: Opportunities and Cautions -
網路研討會
Journey to AML Modernization -
文章
6 ways big data analytics can improve insurance claims data processing -
網路研討會
Demystifying Generative AI: The Good, the Bad and the Practical -
文章
Containing health care costs: Analytics paves the way to payment integrity -
文章
Know your blind spots in tax fraud prevention -
文章
Putting an end to pay and chase -
網路研討會
How Do I Use SAS® Intelligent Decisioning? -
客戶案例
European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS -
客戶案例
Combating financial crime and terrorism financing with real-time sanctions screening -
客戶案例
Stopping payment fraud in real time -
白皮書
Effective fraud analytics: 10 steps to detect and prevent insurance fraud -
網路研討會
AI: Practical Applications in Health Care and Payment Integrity -
電子書
Faces of Fraud -
白皮書
Protect the Integrity of the Procurement Function -
文章
When it matters: Safeguarding your organization from the inside -
白皮書
Using Modern Analytics to Save Government Programs Millions -
文章
5 steps to sustainable GDPR compliance -
白皮書
Enforcing Tax Compliance in a Turbulent World -
文章
Continuous monitoring: Stop procurement fraud, waste and abuse now -
網路研討會
Anti-Fraud and Financial Crime Key Trends Pulse Check -
白皮書
Machine Learning Use Cases in Financial Crimes -
網路研討會
Fraud Fingerprints in Your Data -
文章
Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction -
文章
4 strategies that will change your approach to fraud detection -
文章
Unemployment fraud meets analytics: Battle lines are clearly drawn -
客戶案例
Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experience -
白皮書
Fighting Insurance Application Fraud -
文章
Analytics for prescription drug monitoring: How to better identify opioid abuse -
白皮書
Data and Analytics to Combat the Opioid Epidemic -
白皮書
Proactive anti-financial crime strategies to improve compliance and reduce risk -
文章
How to prevent procurement fraud -
白皮書
Government Procurement Offices -
白皮書
Fraud in Communications -
客戶案例
A risk-based approach to combat money laundering in Israel -
文章
Detect and prevent banking application fraud -
網路研討會
Catch a Fraudster: Finding the Needle in the Haystack With AI -
白皮書
Next-generation AML -
文章
Are you covering who you think you’re covering? -
網路研討會
How Can I Save Time and Build Trust With My Data Preparation? -
網路研討會
Shell game shutdown: Redefining trade transaction monitoring with automation and analytics -
白皮書
Banking in 2035: global banking survey report -
文章
Top prepaid card fraud scams -
文章
Improve child welfare through analytics -
白皮書
Banking in 2035: three possible futures -
網路研討會
Enterprise Fraud and Financial Crimes Compliance: How Banks Need to Adapt -
網路研討會
Fighting the Opioid Crisis: Why Program Integrity Is Essential -
白皮書
AML Modernization -
電子書
The Future of Energy & Utilities: Transform Through Innovation -
白皮書
Fighting the Rising Tide of Medicaid Fraud -
白皮書
Top Trends: Why Tax Administrators Are Adopting New Data and Analytics Strategies -
白皮書
How Public Sector Agencies Can Use Analytics to Lead Through Crisis -
白皮書
Managing the Intelligence Life Cycle -
文章
疫情期間網路交易大增，全面防護金融詐欺犯罪 -
網路研討會
Data for Good: Enhancing the Partnership of Public Service and Mental Health -
網路研討會
Tax Administration: Top Trends for 2022 -
文章
Shut the front door on insurance application fraud! -
網路研討會
2022 Trends in Digital Fraud: ATOs, Scams and Solutions -
文章
Online payment fraud stops here -
文章
Fraud detection and machine learning: What you need to know -
文章
Health care cost containment through big data analytics -
文章
Managing fraud risk: 10 trends you need to watch -
客戶案例
Turkish insurer achieves real-time fraud detection -
客戶案例
Preventing payment card fraud one transaction at a time -
客戶案例
Advanced analytics can detect and prevent insurance fraud before losses occur -
客戶案例
Fighting financial crime through a global anti-money laundering platform -
網路研討會
Unlocking analytics for business process improvement and patient safety -
網路研討會
Understanding Your Customer in a Digitized Landscape -
網路研討會
Identity Theft – Who’s Who in Health Care -
文章
Taking pre-emptive action to stem the tide of VAT fraud losses -
網路研討會
SAS Identity Series: Your Identity Risk Management Strategy: From Obstacles to Action -
網路研討會
SAS Identity Series: Building a Business Case for Identity Risk Management -
網路研討會
One Step Ahead: Fight Fraudsters With Cutting-Edge Technology -
文章
Stop contract and procurement fraud -
文章
Medicaid and benefit fraud in 2018 and beyond -
文章
Applying technology to ensure voter integrity in elections -
文章
Rethink customer due diligence -
文章
Detecting health care claims fraud -
文章
How to uncover common point of purchase -
客戶案例
泰國銀行在即時管理詐欺偵測的同時也保護客戶 -
網路研討會
Cracking the Digital Identity Crisis With Fraud Analytics, AI and ML -
文章
Uncover hidden financial crime risk -
文章
How AI and advanced analytics are impacting the financial services industry -
網路研討會
The New World of Value-Based Payments: Fighting Fraud With Analytics -
網路研討會
Health Care in the Post-Honesty Era -
網路研討會
Fighting the Opioid Crisis at the Source: Pharmacies and Physicians -
客戶案例
洗錢防制 -
客戶案例
Fast analytical defense -
客戶案例
Preventing crime and ensuring compliance at 120 Nordic banks -
文章
Proactive detection – A new approach to counter terror
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