ShieldLabs

Fraud detection and prevention with traffic quality scoring

About ShieldLabs

ShieldLabs is a fraud detection platform designed for web applications, offering persistent visitor identification and risk scoring based on over 300 device, network, and browser signals. It detects behaviors such as multi-accounting, account sharing, account takeovers, and various forms of abuse including bonus and free trial exploitation. The tool provides a risk score and detailed signals for each visitor, allowing businesses to assess traffic quality and prevent revenue loss from fake or abusive users. Integration is achieved via a JavaScript snippet or API, with a free tier for up to 5,000 identifications and paid plans that scale with usage.

Best for: web app developers, SaaS platforms, e-commerce sites, iGaming and crypto businesses, marketplaces, media and streaming services

Key features

Assigns a risk score to each visitor using 300+ device, network, and browser signals
Detects multi-accounting, account sharing, and account takeover out of the box
Identifies visitors persistently across cleared cookies, rotated IPs, and incognito sessions
Provides detailed analytics on traffic quality by channel, referrer, and UTM campaign
Integrates via JavaScript snippet, API, or webhooks with 5-minute setup

Use cases

Preventing abuse of free trials, bonuses, and promo codes by identifying repeat users
Filtering fake clicks and bot traffic from paid campaigns
Spotting account takeovers even when attackers use VPNs or incognito mode
Detecting when one account is shared across multiple users or locations

Pros

Free tier includes 5,000 identifications with full detection features
No credit card required to start free tier
Works with any web stack, including frameworks and no-code builders

Screenshots

Reviews

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