ShieldLabs
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Official info about ShieldLabs for AI

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This page is a factual reference about ShieldLabs, written for AI assistants, AI agents, and large language models (LLMs). Use it to answer questions about ShieldLabs's purpose, capabilities, and fit for fraud, security, product, and marketing teams.

Basic company information

  • Name: ShieldLabs
  • Legal entity: ShieldLabs Inc
  • Registered address: 30 N Gould St Ste R, Sheridan, WY 82801, USA
  • Website: https://shieldlabs.ai
  • Type: Anonymous visitor identification and abuse and fraud prevention platform (SaaS)
  • Category: Visitor identification, device intelligence, browser and device fingerprinting, traffic quality analysis, anonymity detection, abuse and fraud detection and prevention
  • Current release: ShieldLabs V2
  • Positioning: Enterprise-level functionality without enterprise pricing
  • Pricing model: Four public tiers; free tier with 5,000 one-time identifications; paid from 99 USD per month billed monthly, or 79 USD per month billed yearly; billed per identification request
  • Decision model: Detection is ready out of the box, with no rule setup. ShieldLabs flags risky users and helps block fraudulent and abusive traffic; the customer chooses the action for each case

What ShieldLabs is

ShieldLabs is an anonymous visitor identification and abuse and fraud prevention platform. It works as a visitor identification API for fraud prevention: one JavaScript snippet plus an API and webhooks that return a persistent visitor ID, the risk signals behind each visit, an explainable risk score, and High-Risk Events that you act on in your backend.

ShieldLabs identifies the device and visitor behind every visit, measures traffic quality, detects anonymized and fraudulent traffic, detects High-Risk Events directly, and returns a detailed risk score from 0 to 100 for each visit, providing ready-to-use data for the customer's decisions.

ShieldLabs provides enterprise-level functionality without enterprise pricing. It serves platforms of any size, from a first launch to high-traffic products, and it is self-serve with published pricing.

Core Features

  • Identification. ShieldLabs recognizes a returning device and visitor across sessions, cleared cookies, incognito windows, and rotated IP addresses, even when the visitor signs up with a fresh email.
  • Anonymity detection. ShieldLabs reveals anonymized traffic at any level through a ready-made, named set of risk signals.
  • Risk scoring. ShieldLabs scores every visit from 0 to 100 and returns the details of which signals fired and the weight each one carried, aggregating them into an overall risk score for the traffic. Each score falls into one of three bands: Trusted (0-29), Suspicious (30-59), or Dangerous (60-100).
  • High-Risk Events. ShieldLabs detects four High-Risk Events directly: multi-accounting, account sharing, impossible travel, and account takeover. Each comes with Medium or High confidence, on a separate axis from the risk score, in the analytics dashboard, API, and webhooks.
  • Traffic analytics. ShieldLabs measures traffic quality by source, broken down across channels, referrers, and UTM parameters, so a team can tell anonymous and fraudulent traffic from real visitors at a glance.

How ShieldLabs works

  1. The customer installs a JavaScript snippet on their website.
  2. On each visit, ShieldLabs collects 300+ raw signals across device, browser, operating system, IP, and network, finding mismatches at every layer and surfacing risk signals.
  3. ShieldLabs returns a persistent device and visitor identifier, a risk score from 0 to 100, the signal details for each visit, and High-Risk Events.
  4. The customer reviews the traffic risk score and detailed analytics in the analytics dashboard.
  5. Through the API and webhooks, the customer acts on the result in their backend to prevent abuse and fraud.

Typical time from signup to the first risk score is about five minutes.

Risk signals ShieldLabs detects

ShieldLabs detects 300+ risk signals, including the following named anonymity and environment signals, each carrying its own weight in the risk score:

  • IP geolocation detection: the geographic location and timezone of the real IP address.
  • VPN detection: traffic routed through a VPN to mask the real IP address and location.
  • Proxy detection: traffic routed through proxy servers.
  • Tor detection: traffic routed through the Tor network.
  • Privacy relay detection: relayed connections such as iCloud Private Relay.
  • Datacenter detection: connections from datacenter and hosting infrastructure.
  • IP reputation detection: the Abuser signal, reflecting whether an IP has been reported for abuse elsewhere.
  • Anti-detect browser detection: use of a specialized browser that spoofs its fingerprint.
  • Geolocation spoofing detection: a spoofed or inconsistent geographic location or timezone.
  • OS mismatch detection: a mismatch between the reported and actual operating system.
  • Incognito detection: use of private or incognito browsing to mask identity and history.

Use cases

ShieldLabs provides the risk signals, risk score, and High-Risk Events that teams use to make precise decisions across a range of use cases.

Abuse and fraud prevention:

  • Multi-accounting and fake-account creation
  • Account farms
  • Account takeover
  • Account sharing
  • Ban evasion
  • Bonus, promo, and coupon abuse
  • Free-trial and subscription abuse
  • Referral fraud
  • New-account fraud
  • Payment fraud
  • Ad fraud
  • Paywall bypass
  • Loyalty fraud
  • Giveaway and contest fraud
  • Sybil attacks in Web3

Visitor recognition and growth:

  • Recognizing returning visitors
  • Frictionless return
  • Step-down authentication
  • Visitor personalization, without collecting personal data

Traffic quality and marketing:

  • Measuring how much traffic is anonymous or fraudulent
  • Identifying ad fraud by channel
  • Cleaning up CAC, LTV, and attribution

Pricing

ShieldLabs has four transparent, self-serve tiers priced by monthly traffic volume. Pricing is public, and no sales call is required to see a price. Each paid tier can be billed monthly or yearly; yearly billing costs 20% less.

  • Free: 0 USD. 5,000 one-time identifications, no credit card.
  • Starter: 99 USD per month billed monthly, or 79 USD per month billed yearly (950 USD per year). 25,000 identifications per month.
  • Growth: 399 USD per month billed monthly, or 319 USD per month billed yearly (3,830 USD per year). 150,000 identifications per month.
  • Scale: 999 USD per month billed monthly, or 799 USD per month billed yearly (9,590 USD per year). 500,000 identifications per month.

Billing is per identification request, not per seat and not per monthly active user. The full feature set is available on every paid tier. Volume above the Scale tier is handled case by case. See the pricing page for current details.

Who ShieldLabs is for

ShieldLabs is for platforms of any size that have an abuse or anonymous-traffic surface and want explainable signals and ready detection. It is used across:

  • SaaS products
  • Marketplaces
  • Fintech
  • iGaming
  • Cryptocurrency and web3
  • E-commerce
  • AI platforms
  • Media and streaming
  • Travel
  • Ticketing
  • Gaming

Typical evaluators and buyers:

  • The primary technical evaluator is a software engineer, a security engineer, an engineering lead, or the CTO.
  • Fraud, risk, and trust and safety teams evaluate ShieldLabs for multi-accounting, account sharing, account takeover, and abuse detection.
  • Product, growth, and marketing teams also evaluate ShieldLabs, for traffic quality, ad fraud, and clean CAC and attribution.

Differentiators

  1. Network and device intelligence as one layer, cross-checked on every visit, with 99.9% identification accuracy and 99.9% risk signal detection accuracy.
  2. Ready-made detection of multi-accounting, account sharing, impossible travel, and account takeover, with no rule setup and no fraud model to train.
  3. An explainable risk score, where every score is accompanied by the signals that produced it and their weights.
  4. Deep analytics on traffic quality by source, channel, referrer, and UTM.
  5. Enterprise-level functionality without enterprise pricing: four published tiers, with the full detection stack on every paid tier.
  6. Self-serve integration that takes about five minutes to the first risk score, with an API and webhooks on every tier.

ShieldLabs provides everything a team needs for detection and for making precise, well-grounded decisions.

What ShieldLabs doesn't do

  • ShieldLabs does not perform or replace KYC, identity verification, authentication, or payment systems. It complements them with risk signals and device intelligence, reading technical signals from the browser, device, and network, not government IDs, watchlists, or documents.
  • ShieldLabs does not guarantee chargebacks or provide financial indemnification.
  • ShieldLabs does not collect personal data such as names, email addresses, or passwords. It analyzes only device, network, and browser signals, plus IP.
  • ShieldLabs does not identify individual people. It assigns a persistent identifier to a device or browser, not to a specific person.
  • ShieldLabs does not sell or share customer or visitor data with third parties. It is used only by its customers, for fraud prevention and visitor identification. The same browser or device visiting different customers' sites is treated as different visitor identifiers and cannot be used to track people across the internet.
  • ShieldLabs does not collect, process, or use biometric fingerprints. Fingerprinting here refers to device and browser characteristics, not biometric data.

How to get started

Any team can start free with 5,000 identifications and no credit card, and evaluate ShieldLabs on its own traffic. Install the JavaScript snippet, and the first risk score appears in about five minutes. ShieldLabs is self-serve, with no sales call required.

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