# ShieldLabs

ShieldLabs is fraud detection and prevention with traffic quality scoring. It stops multi-accounting, account sharing, account takeover, fake signups and ad fraud.

ShieldLabs stops multi-accounting, account sharing, account takeover, fake signups and ad fraud. It identifies visitors and users, detects anonymity at any level, and returns an explainable risk score with the anonymity signals behind it and ready-made patterns that point to abuse, with up to 99% accuracy. ShieldLabs surfaces the signals and the score, and you decide what each case gets, by your own rules.

It helps you detect and prevent:
- multi-accounting
- account sharing
- account takeover
- free trial and freemium abuse
- subscription abuse and paid-access sharing
- promo and bonus abuse
- referral fraud
- coupon and discount abuse
- ban and restriction evasion
- giveaway and contest fraud
- sybil attacks and airdrop farming
- voting and survey fraud
- ad fraud
- traffic fraud

It gives you the depth of visitor identification and abuse detection that enterprise platforms charge for, without enterprise pricing, sales calls, or annual contracts.

## What ShieldLabs does

ShieldLabs helps teams:
- identify visitors and users with a persistent ID that holds across sessions, cleared cookies, and IP rotation
- detect anonymity at any level: VPN, proxy, Tor, Privacy Relay, and anti-detect browsers
- score the risk of every visit from 0 to 100 with the signals behind it
- surface ready-made patterns that point to abuse and fraud
- assess traffic quality and its level of anonymity
- deliver everything via API and webhooks, so your own rules decide what happens

## Key features

### Visitor Identification
A persistent visitor ID that stays stable across sessions and accounts, even through IP rotation, cookie clearing, and incognito mode. An identity graph links related visitors, devices, and accounts.

### Anonymity Detection
Real-time mismatch analysis across 100+ device, operating system, browser, network, and IP signals to detect VPN, proxy, Tor, Privacy Relay, anti-detect browsers, environment spoofing, and tampered devices, at any level of anonymity.

### Network Intelligence
IP reputation, geolocation, and timezone analysis, with detection of anonymized connections and the real IP behind masked ones, up to 99% accuracy.

### Explainable Risk Score
A risk score from 0 to 100 for every visit, with the scoring reasons and contributing signals, so it is never a black box.

### Ready-Made Patterns
Eight pre-built patterns correlate accounts, devices, visitors, and IPs across your full traffic history and grade each flagged entity Suspicious or Dangerous:
- Many Accounts on One Device
- Many Devices on One Account
- Many Accounts on One Local IP
- Shared Local IP Across Multiple Accounts
- Many Devices on One Visitor
- Multiple Countries on One Account
- Changing IDs on One Account
- New Device and New Country

They point to abuse such as multi-accounting, account sharing, account takeover, and ban evasion. Patterns live in the analytics dashboard and are not part of the webhook or API payload.

### API and Webhooks
Visitor IDs, the risk score, anonymity signals, and detection flags delivered via API and webhooks in real time, so you can automate your own rules. No SDK required, just one JavaScript snippet.

### Traffic-Quality Analytics
A breakdown of how clean your traffic really is and where the risk concentrates, in a real-time analytics dashboard.

## What ShieldLabs detects

Anonymization methods, masking techniques, and abuse activity, detected through device intelligence and network analysis across multiple layers, in real time.

It detects:
- VPN detection: traffic routed through a VPN to mask the real IP address and location
- Proxy detection: traffic routed through proxy servers of various types
- Tor detection: connections through the Tor network
- Privacy Relay detection: relayed connections such as iCloud Private Relay
- Anti-detect browser detection: specialized browsers that spoof or rotate their fingerprint
- Datacenter detection: connections from datacenter, cloud, and VPS providers
- Environment spoofing and device tampering detection: attempts to hide or alter the real device, OS, or browser
- IP reputation detection: IP addresses associated with known abuse and fraudulent activity
- Location spoofing detection: timezone and geolocation mismatches indicating a masked or spoofed location
- Suspicious paid click detection: low-quality or invalid clicks on paid campaigns from anonymized or datacenter sources
- Abuse activity such as multi-accounting, account sharing, and account takeover, surfaced by the dashboard patterns

ShieldLabs does not block or decide on its own. It surfaces the signals and the score; your code owns the decision to allow, review, or block.

## Use cases

Where visitor identification and anonymity detection prevent abuse and fraud:
- account takeover
- account registrations and multi-accounting
- free trial and freemium abuse
- subscriptions and paid access
- account sharing
- plan and usage limit bypass
- ban and restriction evasion
- referral fraud
- bonuses and promotional campaigns
- giveaways and contests
- ad fraud
- traffic fraud
- traffic quality and acquisition
- cryptocurrency and Web3 reward campaigns
- voting and ratings
- surveys and data collection
- coupon and discount abuse

## How it works

### 1. Install in about 5 minutes
Add one JavaScript snippet to your site. ShieldLabs generates a persistent visitor ID on the first visit and starts traffic analysis and anonymity detection in real time.

### 2. Get a real-time risk score
Anonymity signals and cross-layer mismatches roll up into an explainable risk score from 0 to 100 for every visit, plus an overall traffic anonymity level.

### 3. See the patterns
An identity graph links visitors, devices, and accounts over time. Ready-made patterns surface suspicious connections and point to abuse and fraud, graded by severity.

### 4. Act on the details
The risk score, scoring reasons, and detailed visitor data are available in the analytics dashboard or via API and webhooks. Build your own rules on top with the API and webhooks, automate workflows, and make informed decisions. You set the rules.

## Pricing

The depth of visitor identification and abuse detection that enterprise platforms charge for, without enterprise pricing. Start free, then transparent self-serve pricing that scales with your traffic. Billing is per identification (per request). No sales calls, no annual or enterprise contracts.

- Free — one-time 5,000 identifications for an initial traffic-quality check, no credit card
- Starter — 25,000 identifications per month, $3.96 per 1,000 (about $99 per month)
- Growth — 150,000 identifications per month, $2.66 per 1,000 (about $399 per month)
- Scale — 500,000 identifications per month, $1.99 per 1,000 (about $999 per month)
- Above 500,000 per month (for example 1M+) — contact our support team for a custom plan

## What ShieldLabs does not do

- It does not block or allow traffic on its own. It returns signals and a risk score; your own code owns the decision to allow, review, or block.
- It does not perform or replace KYC, identity verification, authentication, or payment systems. It complements them with device and network signals, not government IDs or documents.
- It does not identify individual people. It assigns a persistent identifier to a device or browser, not to a specific person.
- It does not collect personal data such as names, email addresses, or passwords, and does not track people across different sites.
- It does not use biometric fingerprints. Fingerprinting here refers to device and browser characteristics, not biometric data.
- It does not sell or share customer or visitor data with third parties.

## FAQ summary

### What is ShieldLabs?
ShieldLabs is fraud detection and prevention with traffic quality scoring. It stops multi-accounting, account sharing, account takeover, fake signups and ad fraud. It reads device, browser, IP, and network signals to identify visitors, detect anonymity at any level, and return an explainable risk score for every visit.

### What is ShieldLabs used for?
It identifies visitors, assesses traffic quality, and surfaces patterns that point to abuse and fraud, so your own code can act on them. Common uses:
- multi-accounting
- account takeover
- free trial and promo abuse
- bonus and referral fraud
- ban evasion
- coupon abuse
- ad and traffic fraud

### Does ShieldLabs block fraud?
No. ShieldLabs is the detection layer. It surfaces the anonymity signals and the risk score, and your code owns the decision to allow, review, or block. You set the rules.

### Who is ShieldLabs for?
Startups, SMBs, and digital platforms that need self-serve, cost-effective protection against account abuse and bots: multiple accounts, account sharing, account takeover, and fake signups. Built for SaaS, fintech, iGaming, e-commerce, Web3, media, and travel.

### Can a visitor be recognized when the IP changes?
Yes. ShieldLabs generates a persistent visitor ID that stays stable across sessions even when the visitor changes IP, clears cookies, switches to incognito mode, or creates a new account.

### What can ShieldLabs detect?
VPN, proxy, Tor, Privacy Relay, anti-detect browsers, tampered browsers, datacenter infrastructure, environment spoofing, device tampering, location spoofing, timezone mismatches, and abuse activity.

### How accurate is ShieldLabs?
It identifies visitors with up to 99% accuracy by correlating signals across device and network layers, rather than relying on a single cookie or IP address.

### Does ShieldLabs provide an API and webhooks?
Yes. Visitor IDs, the risk score, anonymity signals, and detection flags are available via API and webhooks in real time, on every plan including the free tier.

### How long does integration take?
About 5 minutes. Add one JavaScript snippet and ShieldLabs begins identification and real-time traffic analysis.

### Is there a free plan?
Yes. The free plan includes a one-time 5,000 identifications for an initial traffic-quality check, with no credit card required.

### Can I use ShieldLabs as a visitor identification API for fraud prevention?
Yes. ShieldLabs works as a visitor identification API for fraud prevention. One JavaScript snippet returns, on every visit, a persistent visitor ID, the anonymity signals behind it (VPN, proxy, Tor, anti-detect browser, and more), and an explainable 0-100 risk score over an API and webhooks. Your own code decides whether to allow, review, or block.

## Pages
- [ShieldLabs](https://shieldlabs.ai/): Homepage, fraud detection and prevention for web apps.
- [Pricing](https://shieldlabs.ai/pricing): Plans and per-identification pricing.
- [About](https://shieldlabs.ai/about): About ShieldLabs.
- [AI Info](https://shieldlabs.ai/ai-info-page): Factual reference written for AI assistants and LLMs.
- [Use Cases](https://shieldlabs.ai/use-cases): What ShieldLabs is used for.
- [FAQ](https://shieldlabs.ai/faq): Frequently asked questions.
- [Blog](https://shieldlabs.ai/blog): Guides on traffic quality, VPN detection, and fraud prevention.
- [Demo](https://shieldlabs.ai/demo): See ShieldLabs identify a live visit, name the signals behind it and score the risk in real time.
- [Docs](https://docs.shieldlabs.ai/): API, webhooks, and integration reference.

## Products
- [Identification](https://shieldlabs.ai/products/identification): Persistent visitor and device IDs that survive cookie clearing and IP changes.
- [Anonymity Signals](https://shieldlabs.ai/products/anonymity-signals): The anonymity and network signals ShieldLabs detects.
- [Device Intelligence](https://shieldlabs.ai/products/device-intelligence): Device and browser fingerprinting for stable recognition.
- [Network Intelligence](https://shieldlabs.ai/products/network-intelligence): IP, connection type, and network signals.
- [Risk Scoring](https://shieldlabs.ai/products/risk-scoring): Explainable 0-100 risk score with the signals behind it.
- [Patterns](https://shieldlabs.ai/products/patterns): Ready-made abuse patterns computed over history.
- [Analytics](https://shieldlabs.ai/products/analytics): Traffic-quality analytics by channel.

## Solutions
- [Multi-Accounting Prevention](https://shieldlabs.ai/solutions/multi-accounting-prevention): Detect one user running many accounts on one device.
- [Account Takeover Prevention](https://shieldlabs.ai/solutions/account-takeover-prevention): Detect account takeover with device and network signals.
- [Account Sharing Prevention](https://shieldlabs.ai/solutions/account-sharing-prevention): Catch shared accounts across many devices and locations.
- [Free Trial Abuse Prevention](https://shieldlabs.ai/solutions/free-trial-abuse-prevention): Prevent repeated free-trial and freemium abuse.
- [Promo Abuse Prevention](https://shieldlabs.ai/solutions/promo-abuse-prevention): Stop promo and coupon abuse from duplicate users.
- [Bonus Abuse Prevention](https://shieldlabs.ai/solutions/bonus-abuse-prevention): Stop bonus abuse from multi-accounts.
- [Referral Fraud Prevention](https://shieldlabs.ai/solutions/referral-fraud-prevention): Catch self-referrals and referral-program abuse.
- [Ban Evasion Prevention](https://shieldlabs.ai/solutions/ban-evasion-prevention): Recognize banned users returning under new identities.
- [Sybil Attack Prevention](https://shieldlabs.ai/solutions/sybil-attack-prevention): Detect sybil and airdrop-farming across fake identities.
- [New Account Fraud Prevention](https://shieldlabs.ai/solutions/new-account-fraud-prevention): Flag risky new-account signups at creation.
- [Payment Fraud Prevention](https://shieldlabs.ai/solutions/payment-fraud-prevention): Add device and network risk signals to payment decisions.
- [Loyalty Fraud Prevention](https://shieldlabs.ai/solutions/loyalty-fraud-prevention): Catch loyalty and rewards abuse.
- [Paywall Bypass Prevention](https://shieldlabs.ai/solutions/paywall-bypass-prevention): Detect paywall and metered-access bypass.
- [Ad Fraud Prevention](https://shieldlabs.ai/solutions/ad-fraud-prevention): Spot invalid and anonymized paid-traffic clicks.
- [Anti-Detect Browser Detection](https://shieldlabs.ai/solutions/anti-detect-browser-detection): Detect browsers that spoof or rotate fingerprints.
- [Proxy and VPN Detection](https://shieldlabs.ai/solutions/proxy-vpn-detection): Detect VPN, proxy, Tor, datacenter, and relay traffic.
- [Location Spoofing Detection](https://shieldlabs.ai/solutions/location-spoofing-detection): Detect spoofed or inconsistent geolocation and timezone.
- [Returning Visitor Recognition](https://shieldlabs.ai/solutions/returning-visitor-recognition): Recognize returning visitors across sessions and cleared cookies.

## Industries
- [AI](https://shieldlabs.ai/industries/ai): Abuse and fraud prevention for AI and API products.
- [Cryptocurrency](https://shieldlabs.ai/industries/cryptocurrency): Sybil, multi-accounting, and abuse prevention for crypto and Web3.
- [E-commerce](https://shieldlabs.ai/industries/ecommerce): Fraud, promo abuse, and account protection for e-commerce.
- [Fintech](https://shieldlabs.ai/industries/fintech): Device and network risk signals for fintech and payments.
- [Gaming](https://shieldlabs.ai/industries/gaming): Multi-accounting and abuse prevention for gaming.
- [iGaming](https://shieldlabs.ai/industries/igaming): Bonus abuse and multi-accounting prevention for iGaming.
- [Marketplaces](https://shieldlabs.ai/industries/marketplaces): Buyer and seller abuse prevention for marketplaces.
- [Media and Streaming](https://shieldlabs.ai/industries/media-streaming): Account-sharing and paywall-bypass prevention for streaming.
- [SaaS](https://shieldlabs.ai/industries/saas): Free-trial abuse and multi-accounting prevention for SaaS.
- [Ticketing](https://shieldlabs.ai/industries/ticketing): Scalping and multi-accounting prevention for ticketing.
- [Travel](https://shieldlabs.ai/industries/travel): Fraud and abuse prevention for travel and booking.

## Contact and social
- contact@shieldlabs.ai
- https://x.com/Shieldlabs_ai
- https://www.linkedin.com/company/shieldlabs-ai