Real-Time Fraud Flagging and Benchmarking
Multi-Tenancy for Rule Suites, UI-Based Case Management, Case Analytics, and Dashboarding
Explainable AI for Fraud Detection
The client is a leading digital payment as a service provider offering businesses a faster, easier, and more reliable way to move money. The client sought to develop a real-time fraud detection system with low false positives for their Point of Sale transactions.
Quantiphi helped them set up a fraud detection platform for transactions at Point of Sale. Salient features of our solutions included:
–Client onboarding/ Risk Scoring: Conduct historic screening of a new client across millions of data items to feed into their risk score
–Real-time Monitoring: Screen millions of clients transactions across billions of data items in real-time to identify sanctions, politically exposed accounts, and adverse media.
–Threat Investigations: Connect the dots via an all-source investigations tool for exploring screening results.
–AI-driven Anti Money Laundering: Verify applicant identity, maintain verification records, and flag in real-time when a person appears on any suspected criminal list.
–Anomaly Detection: Deploy self-learning ML models trained to recognize well-known fraud patterns as well as to adapt to new, unknown fraud techniques.