Signifyd Features

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

Flags suspicious transactions and either alerts administrators or declines transaction.

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

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

Finds patterns in common occurrences of fraud to use when evaluating risk of purchasers.

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

Constantly monitors system to detect anomalies in real time.

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

Monitors for and rids systems of bots suspected of committing fraud.

Constantly monitors system to detect anomalies in real time.

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

Keeps records of geographic location and IP addresses of fraud suspects.

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

Prevents previous committers of fraud from future transactions.

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