Identify and eliminate application and online fraud. Address the proliferation of identity theft and synthetic identities. SAS Detection and Investigation for Banking provides a single, end-to-end framework for better fraud detection and greater operational efficiency across multiple channels and products.
Key Features
- Data management. Consolidates and cleanses data from internal and external sources for fraud analysis and investigation.
- Advanced analytics and embedded AI. Provides a broad set of advanced analytic and AI techniques, including modern statistical, machine learning, deep learning and text analytics algorithms, accessible from a single environment.
- Rule and analytic model management. Lets you create and logically manage business rules and analytical models.
- Detection and alert generation. Scores data in real time with an online scoring engine that uses multilayered detection methods – business rules, anomaly detection, advanced analytics, etc. – for greater accuracy.
- Alert management. Combines alerts from multiple monitoring systems, associates them with common data, and gives analysts and investigators a more complete view of risk.
- Search and discovery. Enables free-text, field-based or geospatial searches across all data (internal and external), and lets you refine searches using interactive filters.
- Social network analysis. Provides a unique visualization interface that goes beyond transaction and account views to analyze related activities and relationships at a network dimension.
- Workflow and intelligent case management. Streamlines operations with a systematic process for investigations, using a configurable workflow. Stores all information pertinent to a case for future use.
- Auditability. Enables you to run reports and produce a complete audit trail for all alerts and investigations, in accordance with compliance requirements.
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