Instead of spending hours sifting through thousands of false positives, INETCO Insight features state of the art machine learning fraud detection and rules-based alerts for transaction fraud risk scoring. The platform is built to ingest transaction data in real-time, rebuild individual customer models on the fly, and assign risk advice for every transaction in milliseconds.
Real-time fraud risk scoring is a game changing advancement from existing approaches that only rebuild customer models as part of a scheduled batch ETL (extract, transform and load) process. Legacy fraud prevention systems often lack data on new customers and cannot accurately distinguish between legitimate consumers and fraudsters.
With INETCO Insight, customer activity is continuously assessed and compared against set rules and predisposed behavior. The fraud risk score and action is adjusted and assigned for every transaction in milliseconds. The result is a more precise fraud risk score for all types of card-present and card-not-present transactions, including:
- ATM withdrawals
- Cross-channel transactions
- Mobile wallets and e-payments
- Online purchases
- In-store card payments, including contactless