Risk Management

Risk management is the preliminary analysis of expected complications in business processes, the assessment of the severity of each, and the implementation of actions to prevent them. Risk management platforms assist companies in developing, implementing, and monitoring risk models, analyzing various scenarios, conducting stress testing, and managing model risks. As a result, it simplifies making the right decisions (including automated ones) in a timely manner.

Fraud Management & Anti-money Laundering (AML)

Fraud Management (detection & investigation) Software consolidates massive amounts of data from internal and external sources, and a powerful fraud analytics engine processes all data in real-time or in batch. A unique, hybrid analytic approach uses multiple techniques – automated business rules, predictive modeling, text mining, database searches, exception reporting, network link analysis, etc. – to detect more fraud with greater accuracy. Advanced analytics with embedded AI and machine learning techniques, combined with traditional detection methods, can identify known and unknown patterns, as well as evolve and adapt over time.

Anti-money Laundering (AML) solution helps quickly uncover emerging, complex money laundering and terrorist financing threats with network and entity generation processes that automatically build network diagrams and reveal hidden relationships. Advanced analytics enables entity resolution by looking at multiple data sources and references to a customer, then accounting for inconsistencies, errors, abbreviations, and incomplete records to help determine whether they relate to the same entity. Empower AML investigators with an integrated, configurable, user-friendly alert and case management solution that offers self-service capabilities and intelligently prioritized alerts for expedient triage, investigation, and disposition.

Vendors: SAS