Computime is present in 1 market with 1 product. Computime has 1 review with an overall average rating of 4.
Fraud Detection in Banking Payments
Gartner defines fraud detection in banking payments as platforms that use machine learning (ML) models and business rule engines (BREs) to detect and prevent criminal activities related to money movements that aim to defraud the banks and its customers. Banks use these platforms to determine the risk associated with events, such as payments (including real-time payments), and typically include modules for transaction monitoring, a decision engine and case investigations. A high-risk score may initiate a further review to determine if it is a true positive (fraud) or a false positive (not fraud). Modern platforms that incorporate ML models and BREs are capable of monitoring many account actions and use data from multiple sources. They are generally not used for identity verification, internal fraud, physical controls at branches and ATMs or accounts payable functions.
Computime has 1 product in Fraud Detection in Banking Payments market