ShieldLabs Reviews — Discover what people think of this product.

ShieldLabs is a fraud detection and prevention platform built on visitor identification and anonymity signal detection.

Detection covers the full spectrum of anonymity: VPNs, proxies, Tor, Apple Private Relay, datacenter IP ranges, anti-detect browsers, browser automation and bot traffic, drawn from more than 100 signals collected on each visit and interpreted by a combination of deterministic rules and AI.

Identification persists over time. A returning visitor is recognised with up to 99% accuracy despite cleared cookies, incognito mode, IP rotation and months between visits.

Alongside the score for an individual visit, the dashboard gives an overall traffic risk score for the whole property, with the split across clean, low, medium and high risk bands and how it moves over time. It also pre-computes patterns across accounts, devices and identities, pointing to multi-accounting, account sharing, account takeover and account farms operating behind one connection. Traffic quality analytics break traffic down by risk band and by source, including channels, referrers and campaigns, showing which acquisition channels bring anonymised and high-risk visitors.

Stops multi-accounting, free-trial abuse, bonus and promo abuse, referral fraud, loyalty fraud, new-account fraud, account takeover, account sharing, ban evasion, paywall bypass, payment fraud, ad fraud, location spoofing and Sybil attacks. The same recognition works the other way round as well, letting you identify a returning customer without making them prove who they are again.

Setup is one JavaScript snippet, about five minutes to the first signal, with ready-made guides for React, Next.js, Vue, Angular, Svelte and Preact, as well as WordPress, Shopify and Tilda. Server-side SDKs are available for Node.js, Python, Go and PHP, with an OpenAPI specification for everything else.

Pricing is published and flat: 5,000 free identifications with no card and no expiry, then $99, $399 and $999 per month. The cost per identification falls as volume grows, yearly billing saves 20 percent, and traffic above a plan allowance keeps being identified and scored.