As online anonymity increases with the proliferation of VPNs and other privacy tools, fraud prevention systems face significant challenges in accurately identifying user intent and location. VPNs, once primarily used for enterprise security, now constitute a substantial portion of everyday internet traffic, complicating fraud detection efforts by obscuring critical signals like IP and geolocation. The Fingerprint 2024 Device Intelligence Report highlights a 40% increase in VPN usage, with the global market expected to reach $116 billion by 2030. This trend introduces vulnerabilities in fraud prevention, necessitating advanced VPN detection tools to distinguish between legitimate privacy use and fraudulent activity. A range of solutions is available, each offering distinct capabilities for identifying VPNs, proxies, and high-risk connections. Effective VPN detection requires integration with existing fraud models, combining IP intelligence with behavioral and network data to minimize false positives and maintain compliance with privacy regulations. As anonymity tools evolve, fraud teams must adopt sophisticated detection methods to restore visibility and enhance decision-making in risk management.