Description
SAS Fraud Management is a comprehensive fraud detection and prevention solution that operates on the SAS Viya platform. It is designed to help organizations detect, prevent, and manage fraud across the entire customer lifecycle in real-time. By utilizing cloud-native architecture, AI, machine learning, and predictive analytics, SAS Fraud Management provides a robust framework for identifying suspicious activities and reducing false positives.
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The solution is particularly beneficial for financial institutions such as banks, credit unions, and payment providers. It addresses various types of fraud, including payment fraud, account takeover, application fraud, synthetic identity fraud, and digital fraud. By profiling customer behavior across different transaction types and channels, SAS Fraud Management enhances fraud detection accuracy and minimizes customer friction.
SAS Fraud Management integrates internal and external data sources, enabling organizations to enrich transactions with contextual insights. This integration improves risk assessment and decision accuracy, allowing for a holistic view of fraud activity and customer behavior. The solution's cloud-native infrastructure supports scalability and operational flexibility, accommodating growing transaction volumes while reducing infrastructure complexity and cost.
The platform also offers prebuilt fraud models that accelerate fraud detection by leveraging broader transaction behavior patterns. These models can be seamlessly integrated with existing business rules and decision strategies, enhancing fraud detection performance without disrupting operations. SAS Fraud Management's real-time decisioning capabilities ensure that 100% of transactions are profiled, scored, and evaluated instantly, allowing organizations to respond to fraud threats promptly.
Overall, SAS Fraud Management provides a comprehensive and scalable solution for organizations looking to enhance their fraud detection and prevention capabilities. Its integration of advanced analytics, machine learning, and real-time decisioning makes it a valuable tool for managing fraud in today's fast-paced digital environment.
- CategoryFraud Detection
- Pricing ModelCustom
- DeploymentCloud
- PlatformsSAS Viya
SAS Fraud Management's Core Features
Real-time fraud detection
AI-driven analytics
Machine learning integration
Predictive analytics
Automated investigation workflows
Cloud-native architecture
Data orchestration
Prebuilt fraud models
Integrated alert triage
Holistic view of fraud activity
Flexible data integration
Scalable infrastructure
Advanced threat detection
Seamless strategy integration
Fraud strategy optimization
How to use SAS Fraud Management?
Configure: Set up fraud detection parameters
Integrate: Connect internal and external data sources
Deploy: Implement prebuilt fraud models
Optimize: Continuously improve detection strategies
SAS Fraud Management's Use Cases
- Payment Fraud Detection
- Account Takeover Prevention
- Application Fraud Prevention
- Synthetic Identity Detection
- E-commerce Fraud Prevention
