TrustRadius: an HG Insights company

What is ShieldLabs?

ShieldLabs is a Visitor Identification and Anonymity Detection API platform. The solution uses a single JavaScript snippet to collect browser and network signals during website visits, returning a persistent identifier and a risk score ranging from 0 to 100 via a REST API and signed Webhooks.

Key Capabilities
  • Visitor Identification: The platform recognizes returning visitors across separate sessions, cleared browser cookies, incognito/private modes, IP rotations, and extended timeframes. According to the vendor, the system achieves an accuracy rate of up to 99% to support both defensive security (linking multi-accounting profiles) and user experience personalization (recognizing known users without requiring secondary authentication).
  • Anonymity Detection: Detects network and device anonymity markers with a vendor-stated accuracy of up to 99% using multi-level analysis rather than binary flags. Network Intelligence evaluates VPN, Proxy, Tor, Apple Private Relay, and datacenter IP ranges. Device Intelligence identifies anti-detect browsers, browser automation tools, operating system mismatches, and undetectable operating systems. Findings are returned as individual named signals for granular visibility.
  • Explainable Scoring: Assigns a risk score from 0 to 100 alongside the specific named signals that generated the score, maintaining an auditable decision trail for security analysts and administrators.
  • Traffic Analytics & Pattern Detection: The dashboard pre-computes correlation across accounts, devices, and identities to highlight multi-accounting, account sharing, account takeover (ATO), and account farms. Analytics break down traffic by risk band and acquisition source (including channel, referrer, and UTM Parameters).

Audience & Use Cases
  • Audience: Fraud prevention teams, security analysts, risk engineers, and web developers.
  • Use Cases: Prevention of multi-accounting, free-trial abuse, bonus/promo/referral/loyalty fraud, new-account fraud, account takeover, account sharing, ban evasion, paywall bypass, payment fraud, ad fraud, location spoofing, and Sybil attacks.

Technical Specifications & Integration
  • Deployment: Single JavaScript snippet.
  • Supported Frameworks & Platforms: React, Next.js, Vue, Angular, Svelte, Preact, React Native WebView, WordPress, Shopify, and Tilda.

Screenshots

Screenshot of Overview: an aggregate traffic risk score with the split across Clean, Low, Medium and High risk bands, the trend over the selected period, and visitor counts against the previous period.
Screenshot of Anonymity signals: each signal that fired over the period, shown by name with its volume and share of traffic, alongside operating system, device type and connection type breakdowns.
Screenshot of Traffic sources: every channel and every referring domain carries its own traffic risk score, showing which sources deliver anonymised or high-risk visitors.
Screenshot of Patterns summary and traffic sources: how often traffic matches pre-computed abuse patterns, with acquisition channels and referrers resolved from the landing URL.

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Screenshot of Overview: an aggregate traffic risk score with the split across Clean, Low, Medium and High risk bands, the trend over the selected period, and visitor counts against the previous period.

Technical Details

Technical Details
Deployment TypesSaaS
Mobile ApplicationNo
Supported CountriesWorldwide
Supported LanguagesEnglish

FAQs

How much does ShieldLabs cost?
ShieldLabs starts at $99.
What are ShieldLabs's top competitors?
Castle are common alternatives for ShieldLabs.