Fraud Detection and Prevention for Web Apps | ShieldLabs

# ShieldLabs > ShieldLabs is fraud detection and prevention with traffic quality scoring. It stops multi-accounting, account sharing, account takeover, fake signups and ad fraud. ShieldLabs stops multi-accounting, account sharing, account takeover, fake signups and ad fraud. It identifies visitors and users, detects anonymity at any level with up to 99% accuracy, and returns an explainable risk score with the signals behind it and ready-made patterns that point to abuse. ShieldLabs surfaces the signals and the score, and you decide what each case gets, by your own rules. It helps you detect and prevent: - multi-accounting - account sharing - account takeover - free trial and freemium abuse - subscription abuse and paid-access sharing - promo and bonus abuse - referral fraud - coupon and discount abuse - ban and restriction evasion - giveaway and contest fraud - sybil attacks and airdrop farming - voting and survey fraud - ad fraud - traffic fraud It gives you the depth of visitor identification and abuse detection that enterprise platforms charge for, without enterprise pricing, sales calls, or annual contracts. Core topics: - visitor identification and persistent visitor ID - anonymity detection at any level - browser and device fingerprinting - identity graph - traffic quality analysis - explainable risk scoring (0-100) - traffic risk scoring - API and webhooks Anonymity and environment signals detected (each contributes its reasons to the risk score): - IP geolocation detection: the geographic location and timezone of the real IP address - VPN detection: traffic routed through a VPN to mask the real IP address and location - Proxy detection: traffic routed through proxy servers of various types - Tor detection: connections through the Tor network - Privacy Relay detection: relayed connections such as iCloud Private Relay - Datacenter detection: connections from datacenter and hosting infrastructure - IP reputation detection: an IP address reported for abuse