SAS Fraud Decisioning

SAS Fraud Decisioning on SAS Viya delivers real-time decisioning, customer service automation and predictive analytics underpinned by machine learning so you can quickly identify emerging fraud threats and attack vectors to reduce your risk exposure.

Improve the customer experience while reducing friction

Reduce false positives by profiling behaviors using data across all transaction types for greater fraud detection accuracy on every transaction. Flexible, integrated context-driven alert triage and investigation capabilities support both manual and automated self-service options.

Respond faster to threats

Profile, score and decision 100% of transactions in real time with in-memory processing that delivers high-throughput, low-latency response times in high-volume environments. This will ease the day-to-day response to fraud threats while minimizing delays.

Gain a holistic view of data & events

Get an enterprisewide view of fraud monitoring and a complete customer view across all channels.

Strengthen data integration

Connect separate internal and external data sources through flexible orchestration to enrich events with contextual channel insights.

Improve your operational efficiency

Quickly implement machine learning models using champion-challenger, and develop new strategies that combine complex business rules, anomaly detection and decision making in one platform.

Reduce your total cost of ownership

Get reliable, scalable and secure computing capacity through our cloud-native fraud solution to secure the future growth of your identity verification, customer authentication and fraud detection efforts.

Choose SAS: A leader in fraud detection & prevention

Detect payment fraud threats resulting from scams

Use industry-leading fraud analytics and machine learning to monitor payments, nonmonetary transactions and events to detect payment fraud, payment scams and social engineering.

Uncover money mules & funnel accounts in real time

Detect account takeover fraud before it exposes you to regulatory risk by monitoring both customer activities and account maintenance events as they are initiated across channels.

Catch synthetic fraud faster in new-to-bank relationships

Go beyond traditional identity verification and authentication to take immediate action when parts of an identity are suspected to be false.

Prevent check fraud loss & exposure

Quickly access all data relevant to making a risk assessment of a check transaction, including past customer activity, transaction details and check image analysis discoveries.

Avoid giving criminals access to more credit via application fraud

Prevent bust-out fraud before it arises by assessing the risk of new-to-bank credit applications with a lower referral rate and straight-through processing.

Stop accepting fraudulent e-commerce payments

Detect fraudulent commerce across merchants and third-party payment processors.

Maximize remote identity verification

Providers of third-party data are growing by using A/B testing of data and service providers, so you can deploy what works best in seconds.