Mastercard Identity Review 360 Features

Based on 49 Mastercard Identity Review 360 reviews and verified by the G2 Product R&D team. Rates each transaction's risk based on specific factors and their benchmarked scores.

Based on 50 Mastercard Identity Review 360 reviews and verified by the G2 Product R&D team. Flags suspicious transactions and either alerts administrators or declines transaction.

Based on 47 Mastercard Identity Review 360 reviews and verified by the G2 Product R&D team. Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud.

Based on 51 Mastercard Identity Review 360 reviews and verified by the G2 Product R&D team. Stores data from external or internal sources related to fake accounts, evaluating users for risk.

Based on 46 Mastercard Identity Review 360 reviews and verified by the G2 Product R&D team. Finds patterns in common occurrences of fraud to use when evaluating risk of purchasers.

Based on 41 Mastercard Identity Review 360 reviews and verified by the G2 Product R&D team. Alerts administrators when fraud is suspected or transactions have been declined.

Based on 40 Mastercard Identity Review 360 reviews. Constantly monitors system to detect anomalies in real time.

Requires verification of credit card, debit card, and money transfers prior to accepting payments

Constantly monitors system to detect anomalies in real time.

Alerts administrators when fraud is suspected or transactions have been declined.

Based on 43 Mastercard Identity Review 360 reviews and verified by the G2 Product R&D team. Keeps records of geographic location and IP addresses of fraud suspects.

Based on 44 Mastercard Identity Review 360 reviews and verified by the G2 Product R&D team. Tags users suspected of committing fraud and identifies them upon return.

Based on 41 Mastercard Identity Review 360 reviews and verified by the G2 Product R&D team. Monitors for and rids systems of bots suspected of committing fraud.

Stores data from external or internal sources related to fake accounts, evaluating users for risk.

Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud.

Produces reports detailing trends and vulnerabilities related to payments and fraud.

Tags users suspected of committing fraud and identifies them upon return.

Rates each transaction's risk based on specific factors and their benchmarked scores.

Prevents previous committers of fraud from future transactions.

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives