Detect, Defend and Differentiate using Device Fingerprint

Analyses real-time behavioural patterns through over 150 parameters collected from the device and assigns dynamic risk labels, identifying anomalies across devices and sessions. By combining unique device identifiers with behavioural insights, then accurately flag suspicious activity and mitigate fraud

By cross-referencing billions of device profiles globally, it identifies repeat offenders, device spoofing and suspicious connections. Applying device check upfront in fraud management strategy reduces downstream costs by blocking fraud early, minimising chargebacks and optimising resource allocation. This extensive dataset empowers businesses to detect and block fraudulent activities proactively, even from new or previously unseen devices.