VPNs, or virtual private networks, offer both privacy benefits and potential for misuse, serving as a double-edged sword that provides anonymity while simultaneously being exploited by fraudsters to bypass security measures like rate limits and geolocation blocks. Businesses must identify VPN usage to prevent abuse, secure their platforms, and enforce geo-specific rules, particularly when dealing with region-restricted content or dynamic pricing models. Detection methods for VPN usage range from simple techniques like database validation and time zone mismatch to more advanced ones such as TCP/IP fingerprinting and analyzing HTTP headers, though each method comes with its challenges and potential for inaccuracies. Implementing VPN detection responsibly and ethically, in compliance with privacy regulations like GDPR and CCPA, is crucial for maintaining user trust, especially among privacy-conscious users. With the rising use of VPNs for legitimate privacy reasons and the accompanying security challenges, effective VPN detection has become a vital component of fraud prevention strategies, as exemplified by platforms like Fingerprint, which offers comprehensive device intelligence solutions including VPN detection.