SAS Fraud Management

Detect, prevent and manage fraud enterprisewide in real time – from a single platform.

Respond faster to new threats and reduce false positives for a better customer experience.

Make faster, better-informed risk-based decisions across your organization.

Our end-to-end fraud detection and prevention solution supports multiple channels and lines of business, enabling enterprisewide monitoring from a single platform. The solution simplifies data integration, enabling you to combine all internal, external and third-party data to create a better predictive model tuned to your organization's needs. Bringing together this data on a single technology platform gives you the flexibility to scale up or out as your business changes, and respond faster to new threats as they arise.

Find fraud faster and reduce revenue loss.

Stay on top of shifting tactics and new fraud schemes. Embedded machine learning methods detect and adapt to changing behavior patterns, resulting in more effective, robust models. Key technology components let you easily spot anomalies for each customer. In-memory processing delivers high-throughput, low-latency response times – even in high-volume environments – enabling you to score 100% of transactions in real time. Our patented signature-based approach captures customer behavior data from multiple sources and analyzes it for patterns and inconsistencies every time a transaction is processed.

Keep customer satisfaction high.

Better fraud detection capabilities and faster response times lead to fewer false positives, which translates to less customer inconvenience. When fraudulent behavior is detected, alerts are scored and prioritized, enabling immediate customer self-service, or fast review and assessment, reducing the chances of wrongly declined transactions that would adversely affect the customer journey.

Get to Know SAS Fraud Management

Key Features

Industry-leading data analytics and machine learning for monitoring payments and nonmonetary transactions, as well as events, enabling you to identify and respond to unwanted and suspicious behavior in real time.

Real-time transaction scoring & decisioning

Score 100 percent of all transactions in real time with in-memory processing that delivers the industry's highest throughput and lowest latency response times.

Single platform

Multitenancy capabilities enable the sharing of a single installation among independent departments and channels.

Simplified data management

Seamlessly integrate all your data regardless of source or type – including third-party data.

Advanced analytics & machine learning

Generate real-time, risk-based decisions with robust, embedded profiling and machine learning capabilities, patented signature-based analysis technology, advanced analytic modeling controls, a rule-authoring application interface, and an alert triage workstation.

Alert management

Handle alert resolution, manage payment and risk decisions, perform hot listing and blocking, and conduct downstream fulfillment actions from a single interface.

SAS helped us reduce case alert volume by 40%, improve our fraud detection rate by 35% and reduce false positives by 18% ... With fewer false positives and the predictive scoring model of SAS, we can provide a better customer experience while detecting more fraud. Krungsri Consumer logo Pramote Lalitkitti Senior Vice President of Fraud Management Krungsri Consumer

Explore More on SAS Fraud Management & Beyond

Analyst Report

Chartis RiskTech Quadrant® for Enterprise Fraud Solutions, 2023

SAS is a Category Leader in the Chartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023.

White Paper

Payments Without Borders

Learn how you can mitigate fraud risks in cashless payments by holistically understanding your customers across all channels.

Solution Brief

Manage Payment Fraud Risk While Enhancing the Customer Experience

Discover how you can reduce payment fraud losses while lowering associated costs.

White Paper

Balancing Fraud Detection and the Customer Experience

Find out why it can be more important to identify the good customers than the fraudulent ones.

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