Online Fraud Prevention Tools

Geolocation for Website Fraud Prevention

IP Intelligence Insights for Online Fraud Prevention Solutions

Online fraud can take many shapes, from account takeovers on banking or social media sites to card-not-present fraud on retail sites. As companies look for innovative ways to offer a safe and secure environment for their online customers, they continue to turn to a single technology that has been proven to reduce online fraud by more than 90 percent.

Digital Element’s NetAcuity® IP Intelligence and geolocation technologies provide information about online users including location, connection type, and proxy data to name a few. All of this information is collected solely from a user’s IP address, providing strong authentication of user identity without violating user privacy. This accurate and reliable information about online users is helping to break down the anonymity barriers of the internet and is proving to be an integral and necessary part of any online security or fraud prevention strategy.

How to Prevent Online Fraud with IP Intelligence

IP intelligence and geolocation technologies can play a key role in keeping companies safe from the risk of fraud, but how does online fraud prevention with NetAcuity work? Here are some of the key factors that make Digital Element’s online fraud prevention tools work.

Balance Risk Management – Leverage geolocation information to determine which transactions to review and which to approve, allowing you to accept legitimate customers and decrease losses from fraud
Shore Up Fraud Controls – Leverage real-time user information to strengthen identity verification, such as flagging account access from unusual or high-fraud areas
Detect Proxies – Identify access from proxies, which are notorious for allowing users to remain anonymous and avoid detection – a major red flag in online fraud detection and prevention
Strengthen Digital Profiles – Expand user profiles by adding IP Intelligence-based attributes that allow detection of out-of-the-ordinary access and transactions based on normal user patterns