VPN Risk Assessment by IP
In a world where fraudsters can use VPNs to obscure their activities, VPN risk assessment by IP detection adds an important signal to risk scoring. For fraud teams, this can help identify suspicious logins, prevent fraudulent account creation, and stop fraud rings that rely on anonymized traffic to evade detection. For organizations bound by content licensing agreements or regional regulations, detecting VPN usage also helps ensure that only users from approved geographies can access regulated services.
However, many of the tools that claim to detect VPN and proxy activity lack the necessary context to effectively evaluate this threat. Instead, they rely on browser-level indicators that are interpreted without taking into account the larger picture. This black-and-white thinking creates blind spots in threat models, allowing bad actors to slip through undetected.
VPN Risk Assessment by IP: Understanding Potential Security Threats
While most VPN providers take measures to encrypt user data, their servers are still vulnerable to attack. This vulnerability exists because VPN server software, OS, and configuration errors can leave critical user data exposed to attackers. Furthermore, poor physical security can leave these servers open to attack, especially in areas known to house scam fraud centers.
With these risks in mind, it’s time for a more nuanced approach to VPN and proxy detection. By leveraging tools that provide rich contextual insights, teams can close critical gaps in their threat models and make smarter risk decisions. Nodify’s VPN detection API provides a powerful alternative to outdated, binary approaches by accurately checking whether an IP is associated with a VPN and testing it against various risk metrics.
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