The solution will leverage behavioural analytics, machine learning (ML) and artificial intelligence (AI) to detect anomalous payments on the app, monitoring transactions in real time and providing a risk score via profiling.
Twint says it chose the financial fraud prevention solutions provider thanks to this capability to monitor, process and store large volumes of transactions in real time.
NetGuardians adds that Twint will also benefit from the software’s ML algorithms’ ability to keep false positives to a minimum, maintain customer trust and keep operational costs low.