ShieldLabs
Fraud detection and prevention with traffic quality scoring
ShieldLabs is fraud detection and prevention with traffic quality scoring. It detects multi-accounting, account sharing, account takeover and impossible travel out of the box, without building rules or training a fraud model.
More than 100 device and network signals are collected on every visit and cross-checked against each other, which exposes deep masking and delivers 99.9% identification accuracy. Visitors, users, devices and IP addresses are identified and scored, bots and AI agents are detected, and traffic quality is scored by source, channel and campaign.
ShieldLabs returns signals and scores. Your own code and rules decide what to allow, challenge or block, so every decision stays explainable.
Five minutes to install with a JavaScript snippet, client and server SDKs, an API and webhooks. The free plan includes 5,000 identifications, and paid plans start at $99 per month.
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