IP addresses, traditionally used as stable identifiers for geolocation and security, face challenges due to internet changes like Carrier-Grade Network Address Translation (CGNAT), VPNs, and proxies, which result in a single IP representing numerous users. This shift can cause collateral damage when security measures, based on outdated assumptions, unfairly affect users, particularly in developing regions with fewer available IP addresses. Cloudflare addresses these issues by developing a method to detect large-scale IP sharing, distinguishing CGNAT from other IP-sharing technologies using machine learning models trained on a comprehensive dataset. This approach aims to minimize biases and improve network operations and digital equity, considering the socio-economic and geographical variations in IP usage. Cloudflare's efforts focus on enhancing their security measures and assisting customers in configuring better protections, while inviting collaboration from ISPs operating CGNAT to foster a more equitable internet experience.