ShieldLabs
Fraud detection and prevention with traffic quality scoring. Detects multi-accounting, account sharing and takeovers.
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ShieldLabs is fraud detection and prevention with traffic quality scoring. It detects users running multiple accounts, account sharing and takeovers under any masking, so you prevent losses from free-trial, bonus, promo and API abuse. Enterprise-level functionality without enterprise pricing.
Key capabilities
- Visitor and user identification: recognises returning visitors after cleared cookies, in incognito mode and through IP changes, and links users across accounts, devices and IP addresses.
- 300+ risk signals: device and network signals are cross-checked, with 99.9% identification accuracy. VPN, proxy, Tor, Apple Private Relay, datacenter IP, anti-detect browsers and browser automation are returned as named signals.
- Bot and AI traffic detection: identifies bots, automated traffic and AI agents.
- Risk scoring: a 0-100 risk score for every visitor, user, device and IP address, with the named signals behind it.
- High-Risk Events out of the box: multi-accounting, account sharing, impossible travel and account takeover, each with a Medium or High confidence level. No rules to write and no model to train. ShieldLabs helps block fraudulent and abusive traffic.
- Traffic quality analytics: a quality score for every source, channel, referrer and UTM campaign.
Integrations
Five minutes to integrate. SDKs for JavaScript, React, Next.js, Vue, Angular, Svelte, WordPress and Shopify, plus Node.js, Python, Go and PHP on the server. A public API and webhooks connect ShieldLabs from any language.
Pricing
Self-serve. Free plan with 5,000 identifications; Starter $99, Growth $399 and Scale $999 per month, with up to 20% off on annual billing.