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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웨비나
The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
웨비나
Empowering Government Efficiency with SAS Managed Cloud Services on Microsft Azure Government -
웨비나
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
웨비나
The Sector Series | Game Changing AI Technology for Governments: An Introduction to Artificial and Generative Intelligence for Public Sector Leaders -
분석 보고서
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring, 2024 -
분석 보고서
Chartis RiskTech Quadrant® for FRAML Solutions, 2023 -
웨비나
Product Build Deep Dive: Payment Integrity for Procurement via Solution Factory -
분석 보고서
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
분석 보고서
Datos Matrix: Fraud and AML Case Management, 2025 -
E-BOOK
On the Road to Accelerating Claims Automation -
분석 보고서
Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024 -
분석 보고서
Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition -
웨비나
From Data to Insights: Leveraging SAS Visual Investigator Scenarios For Anomaly Detection -
분석 보고서
SAS, 2023년 2분기 The Forester Wave™: AI 기반 의사결정 플랫폼 부문 리더로 선정되다 -
기사
Managing fraud risk: 10 trends you need to watch -
기사
Payment fraud evolves fast – can we stay ahead? -
백서
Explainable Artificial Intelligence for Anti-Money Laundering -
백서
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
백서
How AI and Machine Learning Are Redefining Anti-Money Laundering -
기사
Online fraud: Increased threats in a real-time world -
기사
When it matters: Safeguarding your organization from the inside -
기사
Strengthen your payment fraud defenses with stronger authentication -
기사
Mobile payments, smurfs and emerging threats -
E-BOOK
Seven trends shaping the future of tax -
기사
The best gift you can give to thieves this holiday season? Your identity. -
E-BOOK
5 Steps to a Unified Enterprise Customer Decisioning Strategy -
백서
Achieving program integrity for health care cost containment -
웨비나
Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid Crisis -
백서
Anti-Fraud Technology -
백서
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
웨비나
Driving Tax Administration Excellence: 2025 Strategies -
웨비나
Real-Time Watchlist Screening: Unlocking Efficiency and Compliance With SAS and Neterium -
백서
Procurement integrity powered by continuous monitoring -
웨비나 Reinforcing Compliance Programs: Future-Proofing with SAS
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E-BOOK
Public procurement integrity at risk -
웨비나
Trustworthy AI: Understanding the Liability and Consequences of AI Models in Production -
E-BOOK
Your journey to a GenAI future: A strategic path to success in banking -
웨비나
Generative AI Meets AML: Elevating Compliance Standards in Banking -
웨비나 Fraud Trends to Watch
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고객 사례
Revolutionizing fraud detection at Techcombank -
백서
What Lies Beneath -
백서
Generative AI in Health Care: Opportunities and Cautions -
고객 사례
Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experience -
웨비나
Journey to AML Modernization -
고객 사례
Protecting policyholders through better fraud analysis -
기사
6 ways big data analytics can improve insurance claims data processing -
웨비나
Demystifying Generative AI: The Good, the Bad and the Practical -
기사
Containing health care costs: Analytics paves the way to payment integrity -
기사
Know your blind spots in tax fraud prevention -
고객 사례
Fast analytical defense -
기사
Putting an end to pay and chase -
고객 사례
Fighting loan application fraud with cutting-edge analytics -
고객 사례
European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS -
고객 사례
Combating financial crime and terrorism financing with real-time sanctions screening -
고객 사례
Stopping payment fraud in real time -
웨비나
How Do I Use SAS® Intelligent Decisioning? -
E-BOOK
Protecting the Payments -
백서
Effective fraud analytics: 10 steps to detect and prevent insurance fraud -
웨비나
AI: Practical Applications in Health Care and Payment Integrity -
E-BOOK
Faces of Fraud -
백서
Protect the Integrity of the Procurement Function -
백서
Using Modern Analytics to Save Government Programs Millions -
기사
5 steps to sustainable GDPR compliance -
백서
Enforcing Tax Compliance in a Turbulent World -
기사
Continuous monitoring: Stop procurement fraud, waste and abuse now -
웨비나
Anti-Fraud and Financial Crime Key Trends Pulse Check -
백서
Machine Learning Use Cases in Financial Crimes -
웨비나
Fraud Fingerprints in Your Data -
기사
Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction -
기사
4 strategies that will change your approach to fraud detection -
기사
Unemployment fraud meets analytics: Battle lines are clearly drawn -
백서
Fighting Insurance Application Fraud -
고객 사례
자금세탁 방지 활동을 지원하는 분석 기술 -
기사
Analytics for prescription drug monitoring: How to better identify opioid abuse -
백서
Data and Analytics to Combat the Opioid Epidemic -
백서
Proactive anti-financial crime strategies to improve compliance and reduce risk -
기사
How to prevent procurement fraud -
백서
Government Procurement Offices -
백서
Fraud in Communications -
고객 사례
자금세탁 범죄에 맞서는 이스라엘의 위험 기반 전략 -
백서
2021 State of Insurance Fraud Technology Study -
백서
Detect and prevent digital banking fraud -
기사
Detect and prevent banking application fraud -
웨비나
Catch a Fraudster: Finding the Needle in the Haystack With AI -
백서
Next-generation AML -
기사
Are you covering who you think you’re covering? -
웨비나
How Can I Save Time and Build Trust With My Data Preparation? -
웨비나
Shell game shutdown: Redefining trade transaction monitoring with automation and analytics -
백서
Banking in 2035: global banking survey report -
기사
Top prepaid card fraud scams -
기사
Improve child welfare through analytics -
백서
Banking in 2035: three possible futures -
웨비나
Enterprise Fraud and Financial Crimes Compliance: How Banks Need to Adapt -
웨비나
Fighting the Opioid Crisis: Why Program Integrity Is Essential -
백서
AML Modernization -
E-BOOK
The Future of Energy & Utilities: Transform Through Innovation -
백서
Data-Driven Performance -
백서
Fighting the Rising Tide of Medicaid Fraud -
백서
Fraudsters love digital -
백서
Value and Opportunity: An Executive Guide to Procurement Integrity -
백서
Top Trends: Why Tax Administrators Are Adopting New Data and Analytics Strategies -
백서
Safer communities, trusted law enforcement -
백서
How Public Sector Agencies Can Use Analytics to Lead Through Crisis -
백서
Managing the Intelligence Life Cycle -
웨비나
Data for Good: Enhancing the Partnership of Public Service and Mental Health -
웨비나
Tax Administration: Top Trends for 2022 -
기사
Shut the front door on insurance application fraud! -
웨비나
2022 Trends in Digital Fraud: ATOs, Scams and Solutions -
기사
Online payment fraud stops here -
기사
Fraud detection and machine learning: What you need to know -
기사
Health care cost containment through big data analytics -
고객 사례
Turkish insurer achieves real-time fraud detection -
고객 사례
Fighting financial crime through a global anti-money laundering platform -
고객 사례
Advanced analytics can detect and prevent insurance fraud before losses occur -
웨비나
Unlocking analytics for business process improvement and patient safety -
웨비나
Understanding Your Customer in a Digitized Landscape -
웨비나
Identity Theft – Who’s Who in Health Care -
기사
Taking pre-emptive action to stem the tide of VAT fraud losses -
웨비나
SAS Identity Series: Your Identity Risk Management Strategy: From Obstacles to Action -
웨비나
SAS Identity Series: Building a Business Case for Identity Risk Management -
웨비나
One Step Ahead: Fight Fraudsters With Cutting-Edge Technology -
기사
Stop contract and procurement fraud -
기사
Medicaid and benefit fraud in 2018 and beyond -
기사
Applying technology to ensure voter integrity in elections -
기사
Rethink customer due diligence -
기사
Detecting health care claims fraud -
기사
How to uncover common point of purchase -
웨비나
Cracking the Digital Identity Crisis With Fraud Analytics, AI and ML -
기사
Uncover hidden financial crime risk -
기사
How AI and advanced analytics are impacting the financial services industry -
웨비나
The New World of Value-Based Payments: Fighting Fraud With Analytics -
기사
What do drones, AI and proactive policing have in common? -
웨비나
Health Care in the Post-Honesty Era -
웨비나
Fighting the Opioid Crisis at the Source: Pharmacies and Physicians -
고객 사례
북유럽 120개 은행의 범죄 예방 및 규정 준수 -
기사
Next generation anti-money laundering: robotics, semantic analysis and AI -
기사
How can analytics change the world of 'Narcos'? -
기사
Small-time cheats and organized crime: Benefits fraud re-examined -
기사
Tackling the new terrorist threat -
기사
Proactive detection – A new approach to counter terror
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