SAS continues to stand out as a category leader in both the enterprise and payment fraud quadrants, as well as in this year’s addition, the fraud platforms quadrant.
- These ratings are underpinned by consistently strong performance across all four of Chartis’ market potential criteria: customer satisfaction, market penetration, growth strategy and financials.
- In the 2026 RiskTech Quadrant® for Enterprise Fraud Solutions, SAS stands out for its ability to support enterprise decisioning, including fraud management across onboarding, payments and post-transaction monitoring.
- Rather than treating fraud as a series of disconnected use cases, SAS provides a centralized environment for customer-centric decisioning and orchestration, enabling institutions to apply shared intelligence, coordinated workflows and consistent risk strategies across business lines and channels.
SAS’ recognition as a Category Leader across the Enterprise Fraud, Fraud Platforms and Payment Fraud quadrants reflects its continued strength in advanced analytics and AI and the scale of its fraud management capabilities. The company combines behavioral analytics, model development and management and decisioning with practical AI-assisted workflow development, model explainability and alert triage. This combination of analytical strength and operational focus continues to be a differentiator for SAS in the fraud technology market. Philip Mackenzie Chartis Research
Explore more SAS resources
To browse resources by type, select an option below.
-
- Select resource type
- Аналитический отчет
- Технический документ
- Технический документ
- Вебинар
- Article
- Blog Post
- Book Excerpt
- Case Study
- Customer Story
- E-Book
- Infographic
- Interview
- Research
- Series
- Video
-
Вебинар
From Strategy to Day-to-Day Reality: How a European Tax Authority is Using Analytics and AI Today -
Вебинар
Why procurement risks are rising — and how proven payment integrity ROI shows that action can’t wait -
Customer Story
Intelligent, real-time fraud decisions in 50 milliseconds -
Article
Как визуализация данных помогает в борьбе с преступностью -
Вебинар
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
Аналитический отчет
Datos Matrix: Fraud and AML Case Management, 2025 -
E-Book
The strategic bank playbook: Transforming insights into impact -
Технический документ
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
Технический документ
Explainable Artificial Intelligence for Anti-Money Laundering -
Технический документ
How AI and Machine Learning Are Redefining Anti-Money Laundering -
Аналитический отчет
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
Аналитический отчет
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 -
Article
Fraud detection and machine learning: What you need to know -
Технический документ
Generative AI in Health Care: Opportunities and Cautions -
Аналитический отчет
The Forrester Wave™: Enterprise Fraud Management, Q2 2024 -
Article
6 ways big data analytics can improve insurance claims data processing -
E-Book
Seven trends shaping the future of tax -
Аналитический отчет
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring, 2024 -
Технический документ
Anti-Fraud Technology -
Article
Shut the front door on insurance application fraud! -
Article
Next generation anti-money laundering: robotics, semantic analysis and AI -
Article
Next generation anti-money laundering: robotics, semantic analysis and AI -
Технический документ
Enforcing Tax Compliance in a Turbulent World -
Article
4 strategies that will change your approach to fraud detection -
Технический документ
Proactive anti-financial crime strategies to improve compliance and reduce risk -
Article
Are you covering who you think you’re covering? -
Технический документ
Procurement integrity powered by continuous monitoring -
Article
How to uncover common point of purchase -
Article
ТОП-5 схем мошенничества по предоплаченной карте -
Article
Online payment fraud stops here -
Article
Strengthen your payment fraud defenses with stronger authentication -
Article
Managing fraud risk: 10 trends you need to watch -
E-Book
The Future of Energy & Utilities: Transform Through Innovation -
Article
Payment fraud evolves fast – can we stay ahead? -
Article
Банки проверяют все операции на предмет отмывания денег -
Article
Uncover hidden financial crime risk -
Article
Доверяй, но проверяй: как бороться с внутренним мошенничеством в ритейле -
Customer Story
Бразилия борется со страховым мошенничеством с помощью ИИ и аналитики. -
Article
Непрерывный мониторинг как способ предотвращения мошенничества в закупках -
Customer Story
Thai bank safeguards customers while managing fraud detection in real time -
Article
Rethink customer due diligence -
Технический документ
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
Article
Как ИИ и углубленная аналитика влияют на отрасль финансовых услуг -
Customer Story
Advanced analytics can detect and prevent insurance fraud before losses occur | SAS -
Article
The best gift you can give to thieves this holiday season? Your identity. -
Article
Applying technology to ensure voter integrity in elections -
Article
Аналитика как инструмент для борьбы с зависимостью от рецептурных сильнодействующих препаратов и незаконно приобретенных наркотических веществ -
Customer Story
Preventing crime and ensuring compliance at 120 Nordic banks -
Технический документ
Using Modern Analytics to Save Government Programs Millions -
Технический документ
Machine Learning Use Cases in Financial Crimes -
Customer Story
Турецкая страховая компания обнаруживает мошенничество в режиме реального времени -
Article
Аналитика SAS поможет страховым компаниям -
Аналитический отчет
How Data Science Teams Leverage Machine Learning and Other Advanced Analytics -
Технический документ
Managing the Intelligence Life Cycle -
Article
Проактивное обнаружение - новый подход к борьбе с террором -
Article
Health care cost containment through big data analytics -
Article
Аналитика SAS помогает финансовым разведкам выявлять риски и типологии отмывания денег -
Технический документ
Achieving program integrity for health care cost containment -
Article
Предотвращение мошенничества в процессах заключения договоров и закупок -
Технический документ
Protect the Integrity of the Procurement Function -
Технический документ
Effective fraud analytics: 10 steps to detect and prevent insurance fraud -
Article
5 steps to sustainable GDPR compliance -
Article
Detecting health care claims fraud -
Технический документ
Government Procurement Offices -
Article
When it matters: Safeguarding your organization from the inside -
Технический документ
Fraud in Communications -
Article
Analytics for prescription drug monitoring: How to better identify opioid abuse -
Технический документ
Data and Analytics to Combat the Opioid Epidemic -
Research
Containing health care costs: Analytics paves the way to payment integrity -
Article
Small-time cheats and organized crime: Benefits fraud re-examined -
Article
Online fraud: Increased threats in a real-time world -
Article
Mobile payments, smurfs and emerging threats -
Технический документ
How Public Sector Agencies Can Use Analytics to Lead Through Crisis -
Технический документ
Fighting the Rising Tide of Medicaid Fraud -
Технический документ
What Lies Beneath -
Технический документ
Top Trends: Why Tax Administrators Are Adopting New Data and Analytics Strategies -
Вебинар
From Data to Insights: Leveraging SAS Visual Investigator Scenarios For Anomaly Detection -
Вебинар
Tax Administration: Top Trends for 2022 -
Вебинар
2022 Trends in Digital Fraud: ATOs, Scams and Solutions -
Вебинар
AI: Practical Applications in Health Care and Payment Integrity -
Вебинар
Journey to AML Modernization -
Вебинар
Real-Time Watchlist Screening: Unlocking Efficiency and Compliance With SAS and Neterium -
Вебинар
Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid Crisis -
Вебинар
Cracking the Digital Identity Crisis With Fraud Analytics, AI and ML -
Вебинар Reinforcing Compliance Programs: Future-Proofing with SAS
-
Вебинар
Understanding Your Customer in a Digitized Landscape -
Вебинар
Demystifying Generative AI: The Good, the Bad and the Practical -
Вебинар Fraud Trends to Watch
-
Вебинар
Fraud Fingerprints in Your Data -
Вебинар
Shell game shutdown: Redefining trade transaction monitoring with automation and analytics -
Вебинар
Generative AI Meets AML: Elevating Compliance Standards in Banking -
Вебинар
The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
Вебинар
Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure Government -
Вебинар
Enterprise Fraud and Financial Crimes Compliance: How Banks Need to Adapt -
Вебинар
Catch a Fraudster: Finding the Needle in the Haystack With AI -
Вебинар
SAS Identity Series: Building a Business Case for Identity Risk Management -
Вебинар
How Do I Use SAS® Intelligent Decisioning? -
Вебинар
Health Care in the Post-Honesty Era -
Вебинар
Data for Good: Enhancing the Partnership of Public Service and Mental Health -
Вебинар
SAS Identity Series: Your Identity Risk Management Strategy: From Obstacles to Action -
Вебинар
How Can I Save Time and Build Trust With My Data Preparation? -
Вебинар
Identity Theft – Who’s Who in Health Care -
Вебинар
The New World of Value-Based Payments: Fighting Fraud With Analytics -
Вебинар
Unlocking analytics for business process improvement and patient safety -
Вебинар
Fighting the Opioid Crisis: Why Program Integrity Is Essential -
Вебинар
Fighting the Opioid Crisis at the Source: Pharmacies and Physicians -
Вебинар
One Step Ahead: Fight Fraudsters With Cutting-Edge Technology -
Вебинар
Anti-Fraud and Financial Crime Key Trends Pulse Check -
Вебинар
Trustworthy AI: Understanding the Liability and Consequences of AI Models in Production -
Вебинар
Driving Tax Administration Excellence: 2025 Strategies -
Вебинар
Product Build Deep Dive: Payment Integrity for Procurement via Solution Factory -
Вебинар
Top 5 Global Fraud Trends for 2026: What Public Sector Leaders Need to Know -
Вебинар
Data, trust and emerging tech: Insights from the 2026 ACFE Anti-Fraud Technology Benchmarking Report
FAQs
What is the Chartis RiskTech Quadrant for enterprise and payment fraud solutions?
It’s an independent analysis that evaluates enterprise fraud and payment fraud solutions, highlighting vendor strengths and market trends.
Why is SAS recognized as a Leader?
In this Chartis evaluation, SAS is a category leader, achieving this distinction by demonstrating strength across the broadest capabilities in the segment and clear execution of core strategy and innovation.
How can SAS help my organization with enterprise fraud management?
SAS offers industry-leading data analytics and machine learning for monitoring payments, enabling customers to identify and respond to unwanted and suspicious behavior in real time.
What does "payment fraud" mean?
It refers to the illegal or unauthorized use of payment instruments — including credit and debit cards, checks, wire transfers and online payment platforms — to obtain financial gain.