SAS Fraud Decisioning
SAS Fraud Decisioning on SAS Viya delivers real-time decisioning, case investigation automation and predictive analytics so you can quickly identify emerging threats and attack vectors to reduce your risk exposure.
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Improve the customer experience while reducing friction
Reduce false positives by profiling behaviors using data across account, customer and product levels 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.
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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.
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Gain a holistic view of data & events
Get an enterprisewide view of fraud monitoring and a complete customer view across all channels.
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Strengthen data integration
Connect separate internal and external data sources through flexible orchestration to enrich events with contextual channel insights. This eases the day-to-day response to fraud threats while maintaining low latency.
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Improve your operational efficiency
Quickly implement new strategies that combine machine learning models, complex business rules, anomaly detection and decision making.
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Reduce your total cost of ownership
Get reliable, scalable and secure computing capacity through our cloud-native services to secure the future growth of your identity verification, customer authentication and fraud detection efforts.
Choose SAS: A leader in fraud detection & prevention
Payments fraud
Use industry-leading data analytics and machine learning to monitor payments, nonmonetary transactions and events so you can more accurately detect payment fraud threats in real time.
Account takeover fraud
Detect money mules and funnel accounts before they expose you to regulatory risk by monitoring both customer activities and account maintenance events as they are initiated across channels.
Identity verification & authentication
Go beyond traditional identity verification to catch synthetic fraud faster in new-to-bank relationships, and take immediate action when parts of an identity are suspected to be false.
Check fraud
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.
Application fraud
Prevent drop accounts and bust-out fraud before they arise by assessing the risk of new credit applications with a lower referral rate and straight-through processing.
E-commerce fraud
Detect fraudulent commerce across merchants and third-party payment processors.
Key Features
Next-generation SAS Fraud Decisioning combines real-time data enrichment, orchestration and decisioning; model management, governance and development; rapid alert triage; case management; dashboards; and reporting – all on a cloud-native platform.
Cloud-native technology
Enables confident decisions, maximum value, faster outcomes and open integration. Scalable to meet flexible business needs; scale-up for expansion and high-traffic peaks, or scale down to ensure optimized cost management.
Real-time profiling, scoring & decisioning
Scores and decisions 100% of transactions in real time with millisecond response time, for immediate insight on how to respond. Defends against fraud loss while building trust and protecting customer loyalty.
Industry-leading advanced analytics capabilities
Advanced analytics techniques, including adaptive machine learning methods, identify emerging threats and automatically suggest new rules and scenarios in real time for the most accurate transaction risk assessment.
Flexible data orchestration
Orchestrate all internal and external data in a single solution, regardless of format or source. Delivers faster results from growing data volumes using in-memory processing. Easily integrates with case management and reporting systems.
Configurable data enrichment
Enrich customer data, rules and decisions using data from one or more third-party information providers. Define your own path for how each incoming transaction is transformed, enriched and validated before being sent to the fraud management system.
Continuous improvement
Compare approaches to your identity strategy using champion and challenger models and A/B testing of data and service providers, so you can deploy what works best in seconds. Determine the effectiveness of new strategies, continuously improve your approaches and adapt to changes in consumer behavior.
