As fraudsters increasingly use privacy tools to hide their connections, companies at risk of fraud need a VPN detection intelligence system that can identify users who are using a virtual private network (VPN), proxy server or other obfuscation tool. The API can instantly check whether a user’s IP address is associated with a VPN server, and provide context on the type of network they are connecting through (e.g., residential, business, or a host), as well as their connection attributes such as network volume and known IP addresses.

To detect VPN detection intelligence system some websites analyze a user’s DNS queries and compare them against a database of blacklisted DNS servers that indicate the presence of a VPN or proxy service. Another method is to monitor a user’s heartbeats, regular signals that confirm the integrity of data packets and prevent replay attacks. Advanced IP data analysis can also reveal distinguishing behavioral characteristics, such as the frequency of a device’s connection to a specific server or the type of traffic sent to a given port (e.g., OpenVPN).

How a VPN Detection Intelligence System Protects Against Hidden Threats

Despite their legitimate uses, VPNs and proxies carry significant risks for businesses that rely on consumer trust and data security. Many organizations take a binary approach to the issue, either blocking all VPN traffic or trusting it implicitly. However, a balanced strategy that leverages contextual data can strengthen defenses and prevent fraudulent activity while preserving the seamless experience that today’s consumers expect.