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.
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
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. Pramote Lalitkitti Senior Vice President of Fraud Management Krungsri Consumer
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