The brief outlines HUMAN Sightline’s Transaction Abuse Defense, which detects and prevents automated and human-led transaction fraud such as carding, scalping, and inventory hoarding. Using behavioral analysis, machine learning, and intelligent fingerprinting, it identifies malicious traffic and applies adaptive mitigations like honeypots, hard blocks, and verification challenges without disrupting real users. By blocking bots at the edge, it reduces chargebacks, operational strain, and infrastructure costs. Powered by HUMAN’s telemetry of 20 trillion weekly interactions, the system uncovers fraud networks and provides precision defense with over 2,500 behavioral signals and 400 adaptive models.

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