Constant online exposure subjects businesses to numerous cybersecurity threats, including online fraud, which can damage a company's reputation and incur financial losses. IP blocklist matching is a security measure that identifies potential fraudsters by comparing visitor IP addresses to a list of known fraudulent IP addresses, thereby preventing unauthorized access and malicious activities. This method is dynamic, frequently updated, and considers factors such as geolocation, historical data, and behavioral patterns to enhance accuracy. However, challenges such as false positives, dynamic IP addresses, and the use of VPNs by fraudsters can complicate its effectiveness, along with the effort required to maintain and update blocklists. Despite these challenges, IP blocklist matching remains a valuable tool in fraud prevention, and solutions like device intelligence platforms can enhance its accuracy by analyzing device attributes and behaviors to create unique digital identifiers, thereby improving fraud detection and prevention.