ShieldLabs

What is ShieldLabs

ShieldLabs is a fraud detection and prevention platform for web applications. It identifies risky users under any masking, detecting multi-accounting, account sharing, and account takeovers before they cost revenue. The platform provides an explainable risk score for every visitor, user, device, and IP address, along with the named signals behind it.

How to use ShieldLabs

1. Add a JavaScript snippet or SDK to your site. Integration takes about 5 minutes.
2. On every visit, ShieldLabs collects 300+ device and network signals, identifies the visitor and user, and generates a persistent visitor ID.
3. The system calculates a real-time risk score from 0 to 100 for every visitor, user, device, and IP address, banded as Trusted, Suspicious, or Dangerous.
4. ShieldLabs links users, devices, and IP addresses over time to directly detect high-risk events such as multi-accounting, account sharing, impossible travel, and account takeover, each with a Medium or High confidence level.
5. Risk scores, named signals, and high-risk events are available in the analytics dashboard and through the API and webhooks. You can choose the action for each case and act on the result in your backend.

Features of ShieldLabs

• Persistent Visitor Identification: Identify returning visitors across sessions and accounts with 99.9% identification accuracy. One stable ID persists through IP changes, cookie clearing, and incognito mode.
• Risk Signal Detection: Cross-checks 300+ device, operating system, browser, network, and IP signals in real time to detect VPNs, proxies, Tor, anti-detect browsers, browser automation, bots, and AI agents.
• IP Address and Network Intelligence: IP reputation and geolocation analysis. Detection of masked connections and location spoofing at the network connection level with 99.9% risk signal detection accuracy.
• Abuse Detection for Fraud Prevention: Links users, devices, and IP addresses to directly detect multi-accounting, account sharing, impossible travel, and account takeover, each with a Medium or High confidence level.
• Explainable and Detailed Real-Time Risk Score: Real-time risk score assignment to every visitor with overall traffic risk level indication, scoring reasons, and contributing factors.
• API and Webhooks: Transmission of detailed visitor data, risk score, and scoring signals via API and webhooks in real time for automation of fraud prevention rules.
• Big-Platform Detection, Self-Serve Pricing: The kind of visitor identification and abuse detection large platforms build in-house, delivered as a self-serve service with fast integration and transparent pricing that scales with traffic.

Use Cases of ShieldLabs

• Account Takeover: Detect when an account is accessed from an unrecognized device or suspicious connection.
• Account Registrations: Detect when one person creates multiple accounts to commit multi-accounting abuse.
• Free Trial and Freemium: Detect returning visitors who create new accounts to commit free trial abuse.
• Subscriptions and Paid Access: Detect activity associated with subscription abuse and unauthorized access.
• Account Sharing: Detect when one account is used by multiple users.
• Plan and Usage Limit Bypass: Detect when users create fake accounts to bypass plan limits and commit usage abuse.
• Ban and Restriction Evasion: Detect when blocked users return under a new identity to evade enforcement.
• Referral Programs: Detect when users create accounts to commit referral fraud.
• Bonuses and Promotional Campaigns: Detect when users claim bonuses and promotional offers to commit bonus abuse or promo abuse.
• Giveaways and Contests: Detect when users attempt to claim giveaway rewards and contest prizes under multiple identities.
• Traffic Quality and Acquisition: Detect anonymous traffic and traffic abuse to prevent wasted acquisition spend.
• Cryptocurrency / Web3: Detect sybil abuse and farming activity in crypto airdrops and reward campaigns.
• Voting and Ratings: Detect when users submit multiple votes or ratings.
• Surveys and Data Collection: Detect when users submit multiple responses to commit survey fraud.
• Coupon and Discount Abuse: Detect when users create multiple accounts to reuse discount codes and first-time-buyer offers.

Pricing

• Free: $0. For initial traffic quality check and anonymous visitor identification. Includes a one-time 5,000 free identifications.
• Starter: $99 per month. For ongoing anonymous visitor identification and traffic quality monitoring. Includes 25,000 identifications.
• Growth: $399 per month. For abuse detection and fraud prevention at scale.
• Scale: $999 per month. For high-volume platforms. Deep anonymous visitor identification optimized for high-traffic environments.

Every tier includes the API and webhooks.

FAQ

What is ShieldLabs? 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. Founded in 2025, ShieldLabs returns a risk score with the named signals behind it for every visitor, user, device, and IP address.

How does ShieldLabs work? You add the JavaScript snippet or an SDK to your site. On every visit, ShieldLabs collects 300+ device and network signals, identifies the visitor and user, and delivers a risk score from 0 to 100 with the signals behind it through the API and webhooks. Detection is ready out of the box.

What can ShieldLabs detect? ShieldLabs detects VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation, bots, and AI agents, and recognizes returning visitors even after cleared cookies and IP changes. It directly detects multi-accounting, account sharing, account takeover, and impossible travel.

Does ShieldLabs block fraud? Yes. ShieldLabs stops fraud and helps block fraudulent and abusive traffic. It returns the risk score, the named signals, and High-Risk Events, ready to act on in your backend.

How accurate is ShieldLabs? ShieldLabs delivers 99.9% identification accuracy and 99.9% risk signal detection accuracy by cross-checking signals across device and network layers, rather than relying on a single cookie or IP address that breaks within weeks.

Is there a free tier? Yes. ShieldLabs starts at $0 with a one-time 5,000 free identifications, so you can identify anonymous visitors and score your traffic today. From there, transparent pricing scales with your needs, starting at $99 per month for 25,000 identifications. Every tier includes the API and webhooks.