SAS’ category leader position in our Name and Transaction Screening quadrant owes much to its ability to screen significant volumes with speed and accuracy – vital in the increasingly complex and dynamic watchlist space – combined with innovative technology to enable the effective and efficient management of throughput,’ said Nick Vitchev, Research Director at Chartis. ‘Moreover, SAS’ strength in platform and analytics delivers significant impact via a number of channels, including machine learning and entity network generation."
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- 웨비나 Top 5 Global Fraud Trends for 2026: What Public Sector Leaders Need to Know
- 웨비나 The Sector Series | Game Changing AI Technology for Governments: Computer Vision
- 분석 보고서 Datos Matrix: Fraud and AML Case Management, 2025
- 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
- 분석 보고서 The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025
- 분석 보고서 Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024
- E-BOOK Public procurement integrity at risk
- E-BOOK 5 Steps to a Unified Enterprise Customer Decisioning Strategy
- E-BOOK Your journey to a GenAI future: A strategic path to success in banking
- E-BOOK On the Road to Accelerating Claims Automation
- 고객 사례 Revolutionizing fraud detection at Techcombank
- 백서 Generative AI in Health Care: Opportunities and Cautions
- 분석 보고서 The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- 기사 6 ways big data analytics can improve insurance claims data processing
- E-BOOK Seven trends shaping the future of tax
- 백서 Anti-Fraud Technology
- 분석 보고서 Chartis RiskTech Quadrant® for FRAML Solutions, 2023
- 고객 사례 European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS
- E-BOOK Faces of Fraud
- 백서 Enforcing Tax Compliance in a Turbulent World
- 기사 4 strategies that will change your approach to fraud detection
- 분석 보고서 SAS, 2023년 2분기 The Forester Wave™: AI 기반 의사결정 플랫폼 부문 리더로 선정되다
- 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
- 기사 Know your blind spots in tax fraud prevention
- 백서 Next-generation AML
- 기사 Are you covering who you think you’re covering?
- 고객 사례 Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experience
- 백서 Banking in 2035: global banking survey report
- 기사 Containing health care costs: Analytics paves the way to payment integrity
- 백서 Procurement integrity powered by continuous monitoring
- 분석 보고서 Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition
- 백서 Banking in 2035: three possible futures
- 기사 Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction
- 기사 주요 선불카드 사기 수법
- 기사 Detect and prevent banking application fraud
- E-BOOK The Future of Energy & Utilities: Transform Through Innovation
- 기사 Payment fraud evolves fast – can we stay ahead?
- 기사 Unemployment fraud meets analytics: Battle lines are clearly drawn
- 고객 사례 Fighting financial crime through a global anti-money laundering platform
- 기사 Online payment fraud stops here
- 기사 Continuous monitoring: Stop procurement fraud, waste and abuse now
- 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
- 기사 How AI and advanced analytics are impacting the financial services industry
- 고객 사례 Advanced analytics can detect and prevent insurance fraud before losses occur
- 기사 The best gift you can give to thieves this holiday season? Your identity.
- 기사 Applying technology to ensure voter integrity in elections
- 기사 Shut the front door on insurance application fraud!
- 백서 Detect and prevent digital banking fraud
- 백서 Fighting Insurance Application Fraud
- 고객 사례 북유럽 120개 은행의 범죄 예방 및 규정 준수
- 백서 Using Modern Analytics to Save Government Programs Millions
- 기사 Medicaid and benefit fraud in 2018 and beyond
- 기사 Strengthen your payment fraud defenses with stronger authentication
- 백서 Machine Learning Use Cases in Financial Crimes
- 고객 사례 Turkish insurer achieves real-time fraud detection
- 고객 사례 Fast analytical defense
- 백서 Managing the Intelligence Life Cycle
- 기사 How to prevent procurement fraud
- 기사 Improve child welfare through analytics
- 고객 사례 자금세탁 방지 활동을 지원하는 분석 기술
- 기사 Fraud detection and machine learning: What you need to know
- 기사 Uncover hidden financial crime risk
- 기사 Proactive detection – A new approach to counter terror
- 기사 Health care cost containment through big data analytics
- 백서 Achieving program integrity for health care cost containment
- 기사 Stop contract and procurement fraud
- 백서 Protect the Integrity of the Procurement Function
- 백서 Effective fraud analytics: 10 steps to detect and prevent insurance fraud
- 기사 5 steps to sustainable GDPR compliance
- 기사 Detecting health care claims fraud
- 기사 Taking pre-emptive action to stem the tide of VAT fraud losses
- 고객 사례 Protecting policyholders through better fraud analysis
- 백서 Government Procurement Offices
- 기사 When it matters: Safeguarding your organization from the inside
- 백서 Fraud in Communications
- 기사 How can analytics change the world of 'Narcos'?
- 기사 Analytics for prescription drug monitoring: How to better identify opioid abuse
- 백서 Data and Analytics to Combat the Opioid Epidemic
- 기사 How to uncover common point of purchase
- 기사 Small-time cheats and organized crime: Benefits fraud re-examined
- 기사 Online fraud: Increased threats in a real-time world
- 기사 Putting an end to pay and chase
- 기사 Mobile payments, smurfs and emerging threats
- 기사 Rethink customer due diligence
- 기사 Tackling the new terrorist threat
- 백서 Data-Driven Performance
- 백서 How Public Sector Agencies Can Use Analytics to Lead Through Crisis
- 백서 Fighting the Rising Tide of Medicaid Fraud
- 백서 AML Modernization
- 백서 What Lies Beneath
- 백서 Top Trends: Why Tax Administrators Are Adopting New Data and Analytics Strategies
- 백서 Safer communities, trusted law enforcement
- 웨비나 From Data to Insights: Leveraging SAS Visual Investigator Scenarios For Anomaly Detection
- 웨비나 Tax Administration: Top Trends for 2022
- 웨비나 2022 Trends in Digital Fraud: ATOs, Scams and Solutions
- 웨비나 AI: Practical Applications in Health Care and Payment Integrity
- 웨비나 Journey to AML Modernization
- 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 Cracking the Digital Identity Crisis With Fraud Analytics, AI and ML
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웨비나 Reinforcing Compliance Programs: Future-Proofing with SAS
- 웨비나 Understanding Your Customer in a Digitized Landscape
- 웨비나 Demystifying Generative AI: The Good, the Bad and the Practical
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웨비나 Fraud Trends to Watch
- 웨비나 Fraud Fingerprints in Your Data
- 웨비나 Shell game shutdown: Redefining trade transaction monitoring with automation and analytics
- 웨비나 Generative AI Meets AML: Elevating Compliance Standards in Banking
- 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
- 웨비나 The Sector Series | Game Changing AI Technology for Governments: An Introduction to Artificial and Generative Intelligence for Public Sector Leaders
- 웨비나 Enterprise Fraud and Financial Crimes Compliance: How Banks Need to Adapt
- 웨비나 Catch a Fraudster: Finding the Needle in the Haystack With AI
- 웨비나 SAS Identity Series: Building a Business Case for Identity Risk Management
- 웨비나 How Do I Use SAS® Intelligent Decisioning?
- 웨비나 Health Care in the Post-Honesty Era
- 웨비나 Data for Good: Enhancing the Partnership of Public Service and Mental Health
- 웨비나 SAS Identity Series: Your Identity Risk Management Strategy: From Obstacles to Action
- 웨비나 How Can I Save Time and Build Trust With My Data Preparation?
- 웨비나 Identity Theft – Who’s Who in Health Care
- 웨비나 The New World of Value-Based Payments: Fighting Fraud With Analytics
- 웨비나 Unlocking analytics for business process improvement and patient safety
- 웨비나 Fighting the Opioid Crisis: Why Program Integrity Is Essential
- 웨비나 Fighting the Opioid Crisis at the Source: Pharmacies and Physicians
- 웨비나 One Step Ahead: Fight Fraudsters With Cutting-Edge Technology
- 웨비나 Anti-Fraud and Financial Crime Key Trends Pulse Check
- 웨비나 Trustworthy AI: Understanding the Liability and Consequences of AI Models in Production
- 웨비나 Driving Tax Administration Excellence: 2025 Strategies
- 웨비나 Product Build Deep Dive: Payment Integrity for Procurement via Solution Factory
- 고객 사례 Fighting loan application fraud with cutting-edge analytics
