Using IP address fraud prevention for fraud prevention is an effective way to fortify your online business against cyber threats. By analyzing the reputation, ownership, and geographic data of each IP address, merchants can better identify suspicious behaviors that indicate potential fraudulent activity. By incorporating this information into risk scoring systems, merchants can improve the accuracy of their threat identification and make more informed decisions about when to reject risky transactions.

What Is a 75IP Fraud Score Checker and How Does It Work

While IP addresses don’t typically reveal a user’s real-life identity, it’s possible to detect patterns that deviate from typical customer behavior, such as multiple accounts originating from the same IP address or a sudden change in browsing habits. This enables you to take more proactive steps to prevent account takeover fraud, malware infections, phishing attacks, and other types of cyber crime. Advanced techniques, such as machine learning and artificial intelligence, can enhance behavioral analysis by identifying complex patterns and anomalies that would be difficult to spot through manual inspection.

Fraudsters often use proxy servers or virtual private networks (VPNs) to hide their true locations and activities. Consequently, IP addresses associated with these services are more likely to be flagged as suspicious. Merchants should also be on the lookout for suspicious transactions that originate from countries known to have a high incidence of online scams and fraud.

Additionally, merchants should pay attention to the “Usage Type” data displayed on each transaction in FraudLabs Pro. This field defines the primary usage and purpose of an IP address. For example, if an IP address is categorized as being residential, a spike in activity from this location could be a red flag because residential proxies aren’t used for commercial transactions. Similarly, transactions originating from an IP categorized as data centers or hosting providers could raise suspicion.