SAS IS A CATEGORY LEADER
Chartis RiskTech Quadrant® for Enterprise Fraud and Payment Fraud Solutions, 2024
Leadership status reflects a deep expertise and focus across the fraud life cycle.
SAS's ability to scale and customize across the full fraud cycle stems first and foremost from the power of its end-to-end enterprise platform. This enables the use of advanced fraud detection and analytical techniques that operate across enterprise and payment fraud.
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- 電子書 Public procurement integrity at risk
- 電子書 5 Steps to a Unified Enterprise Customer Decisioning Strategy
- 電子書 Your journey to a GenAI future: A strategic path to success in banking
- 電子書 On the Road to Accelerating Claims Automation
- 白皮書 Generative AI in Health Care: Opportunities and Cautions
- 分析報告 SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- 文章 6 ways big data analytics can improve insurance claims data processing
- 分析報告 Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring 2024
- 分析報告 Chartis RiskTech100 2024
- 客戶案例 European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS
- 電子書 Faces of Fraud
- 白皮書 Enforcing Tax Compliance in a Turbulent World
- 文章 4 strategies that will change your approach to fraud detection
- 分析報告 SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023.
- 客戶案例 Combating financial crime and terrorism financing with real-time sanctions screening
- 分析報告 Chartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023: Vendor Analysis
- 白皮書 Proactive anti-financial crime strategies to improve compliance and reduce risk
- 客戶案例 Stopping payment fraud in real time
- 文章 Know your blind spots in tax fraud prevention
- 白皮書 Next-generation AML
- 文章 Are you covering who you think you’re covering?
- 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 Banking in 2035: global banking survey report
- 文章 Containing health care costs: Analytics paves the way to payment integrity
- 白皮書 Procurement integrity powered by continuous monitoring
- 分析報告 Celent Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 Edition
- 分析報告 Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition
- 白皮書 Banking in 2035: three possible futures
- 分析報告 SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2022
- 分析報告 IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor Assessment
- 文章 Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction
- 文章 Top prepaid card fraud scams
- 分析報告 Chartis RiskTech Quadrant for Trade-Based AML Solutions 2022
- 客戶案例 Managing mergers and analytics: Ensuring reliable energy by eliminating risk
- 分析報告 Matrix: Leading Fraud & AML Machine Learning Platforms
- 文章 Detect and prevent banking application fraud
- 電子書 The Future of Energy & Utilities: Transform Through Innovation
- 客戶案例 Preventing payment card fraud one transaction at a time
- 文章 Payment fraud evolves fast – can we stay ahead?
- 文章 Unemployment fraud meets analytics: Battle lines are clearly drawn
- 客戶案例 Fighting financial crime through a global anti-money laundering platform
- 文章 Online payment fraud stops here
- 分析報告 Matrix: Payment Integrity In Healthcare
- 文章 Continuous monitoring: Stop procurement fraud, waste and abuse now
- 文章 Managing fraud risk: 10 trends you need to watch
- 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
- 客戶案例 A risk-based approach to combat money laundering in Israel
- 文章 How AI and advanced analytics are impacting the financial services industry
- 白皮書 2021 State of Insurance Fraud Technology Study
- 客戶案例 Advanced analytics can detect and prevent insurance fraud before losses occur
- 文章 The best gift you can give to thieves this holiday season? Your identity.
- 文章 Applying technology to ensure voter integrity in elections
- 白皮書 Detect and Prevent Identity Theft
- 白皮書 Keeping Fraud Detection Software Aligned With the Latest Threats
- 文章 Shut the front door on insurance application fraud!
- 白皮書 Detect and prevent digital banking fraud
- 白皮書 Fighting Insurance Application Fraud
- 客戶案例 Preventing crime and ensuring compliance at 120 Nordic banks
- 白皮書 Using Modern Analytics to Save Government Programs Millions
- 文章 Medicaid and benefit fraud in 2018 and beyond
- 文章 Strengthen your payment fraud defenses with stronger authentication
- 白皮書 Managing Fraud Risk in the Digital Age
- 白皮書 Machine Learning Use Cases in Financial Crimes
- 客戶案例 Turkish insurer achieves real-time fraud detection
- 客戶案例 Fast analytical defense
- 文章 What do drones, AI and proactive policing have in common?
- 文章 疫情期間網路交易大增,全面防護金融詐欺犯罪
- 白皮書 Managing the Intelligence Life Cycle
- 文章 How to prevent procurement fraud
- 文章 Improve child welfare through analytics
- 客戶案例 洗錢防制
- 文章 Fraud detection and machine learning: What you need to know
- 文章 Uncover hidden financial crime risk
- 文章 Proactive detection – A new approach to counter terror
- 文章 Health care cost containment through big data analytics
- 白皮書 Achieving program integrity for health care cost containment
- 文章 Stop contract and procurement fraud
- 白皮書 Protect the Integrity of the Procurement Function
- 白皮書 Effective fraud analytics: 10 steps to detect and prevent insurance fraud
- 文章 5 steps to sustainable GDPR compliance
- 文章 Detecting health care claims fraud
- 文章 Taking pre-emptive action to stem the tide of VAT fraud losses
- 白皮書 Government Procurement Offices
- 文章 When it matters: Safeguarding your organization from the inside
- 白皮書 Fraud in Communications
- 文章 Analytics for prescription drug monitoring: How to better identify opioid abuse
- 白皮書 Data and Analytics to Combat the Opioid Epidemic
- 文章 How to uncover common point of purchase
- 白皮書 Leveraging Analytics to Combat Digital Fraud in Financial Organizations
- 文章 Online fraud: Increased threats in a real-time world
- 文章 Putting an end to pay and chase
- 文章 Mobile payments, smurfs and emerging threats
- 文章 Rethink customer due diligence
- 白皮書 Rethinking customer due diligence
- 白皮書 Balancing Fraud Detection and the Customer Experience
- 白皮書 Fighting the Rising Tide of Medicaid Fraud
- 白皮書 Data-Driven Performance
- 電子書 Protecting the Payments
- 白皮書 How Public Sector Agencies Can Use Analytics to Lead Through Crisis
- 白皮書 Fraudsters love digital
- 白皮書 The Escalation of Digital Fraud
- 電子書 Fight money laundering with these 5 next-gen game changers from SAS
- 白皮書 AML Modernization
- 白皮書 Value and Opportunity: An Executive Guide to Procurement Integrity
- 白皮書 What Lies Beneath
- 白皮書 Payments Without Borders
- 白皮書 How AI and Machine Learning Are Redefining Anti-Money Laundering
- 電子書 High velocity decisions. Trusted outcomes.
- 白皮書 Data, analytics and machine learning: The new frontier of fraud prevention
- 白皮書 Anti-Fraud Technology
- 白皮書 AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism
- 白皮書 Top Trends: Why Tax Administrators Are Adopting New Data and Analytics Strategies
- 白皮書 Safer communities, trusted law enforcement
- 客戶案例 Fighting loan application fraud with cutting-edge analytics
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