Customer-centric, cross-channel, and cross-product fraud detection covers ATM, PIN and signature POS, and card not present transactions.
Cross-channel models for retail online and mobile banking, call center, and IVR channels, to detect fraudulent monetary and non-monetary transactions.
Multi-channel monitoring and analytics for commercial banking transactions (e.g. wires, ACH, payroll) and non-monetary transactions (e.g. template creation, transaction approval) with user, account, and company-level profiling.
Best practice rules and analytics for detection of suspicious incoming funds via electronic transactions and checks, to address schemes such as kiting and bust out fraud.
Proven rules and analytics, combined with proactive investigation tools, to detect theft of customer and bank assets, self-dealing, embezzlement, collusion, and identity shielding.
Complex device identification, malware detection, navigation-based behavioral analysis, and predictive analytics detect and mitigate cyberthreats while improving customer experience.
Specifically designed to provide a comprehensive and unified view of desk and trader data, enabling trading firms to mitigate the risk of rogue trading.