How INETCO BullzAI® stops card-not-present fraud in real time - not legitimate customer payments

Monitor for suspicious card-not-present transactions in real-time across all digital channels and instant payment rails by analyzing fully decoded transaction message fields to instantly identify high-risk patterns, including abnormal transaction values, velocity spikes, failed repeat account entries, risky merchant categories, token misuse, and anomalous device or geolocation behavior

Build self-training machine learning models for individual accounts, cards and devices that adapt continuously with each transaction, improve risk score accuracy and detect sudden behavioral shifts typical of card-not-present fraud – such as rapid repeat purchases, geographically inconsistent transactions and failed access attempts – enabling precise fraud prevention with fewer false positives and less customer friction

Block or throttle potential card-not-present fraud transactions, malicious devices and AI-driven bot attacks in real-time using field-level transaction intelligence, avoiding the need to shut down a broad IP address range or network segments and disrupting legitimate customers