# 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.

ShieldLabs stops fraud and abuse on websites and web apps. It identifies visitors and users, detects masking with 99.9% risk signal detection accuracy and 99.9% identification accuracy, detects bots and AI agents, and returns a risk score with the named signals behind it. Multi-accounting, account sharing, account takeover and impossible travel are detected directly, out of the box. ShieldLabs helps block fraudulent and abusive traffic, with results delivered through the analytics dashboard, API and webhooks.

Founded in 2025. ShieldLabs Inc., Sheridan, Wyoming, USA.

It helps you detect and prevent:
- multi-accounting
- account sharing
- account takeover
- impossible travel
- new-account fraud and fake signups
- 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 and affiliate fraud
- bad bots and abusive AI agents

It gives you enterprise-level functionality without enterprise pricing: a self-serve product that connects in about five minutes, with no sales calls and no annual contracts.

## What ShieldLabs does

ShieldLabs helps teams:
- identify visitors and users with a persistent ID that holds across sessions, cleared cookies, incognito mode and IP changes
- detect masking: VPN, proxy, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers and browser automation
- detect bots and AI agents and separate bad bots from good ones
- score the visitor, user, device and IP address from 0 to 100, with the named signals behind the score
- directly detect multi-accounting, account sharing, account takeover and impossible travel
- score traffic quality for every source, channel, referrer and UTM campaign
- deliver everything through the analytics dashboard, API and webhooks, ready to act on

## Key features

### Visitor and User Identification
Recognises returning visitors across separate sessions, after cleared cookies, in incognito mode and through IP address changes, with 99.9% identification accuracy. Automatically links users across accounts, devices and IP addresses.

### Network and Device Intelligence
More than 100 device and network signals are collected on every visit and cross-checked against each other, which exposes deep masking and delivers 99.9% risk signal detection accuracy.

### Risk Signal Detection
VPN, proxy, Tor, Apple Private Relay, datacenter IP, IP reputation, anti-detect browser, browser automation, operating system tampering, incognito mode and geolocation spoofing. Each one is returned as an individual named signal.

### Bot and AI Traffic Detection
Identifies bots, automated traffic and AI agents, and separates bad bots from good ones.

### Risk Scoring
A risk score from 0 to 100 for the visitor, the user, the device and the IP address. Detected signals, behavioural history, deterministic rules and AI are aggregated into a single normalised score, shown with the signals behind it. Risk bands: Trusted 0-29, Suspicious 30-59, Dangerous 60-100.

### High-Risk Events
Four detections that work out of the box, with no fraud model to train and detection rules you can tune for multi-accounting and account sharing. Each carries a Medium or High confidence level, a separate axis from the risk score:
- Multi-accounting: one visitor running several accounts
- Account sharing: one account used from many devices
- Impossible travel: the same account or device appearing in places too far apart for the time between visits
- Account takeover: someone other than the owner using a real account

### Traffic Quality Analytics
A single traffic quality score plus a score for every source, channel, referrer and UTM campaign, with analytics across visitors, users and devices.

### API, Webhooks and SDKs
Visitor IDs, risk scores, named signals and High-Risk Events delivered through the API and webhooks in real time. Client SDKs for JavaScript, React, Next.js, Vue, Angular, Svelte, Preact, WordPress, Shopify and Tilda; server SDKs for Node.js, Python, Go and PHP; an OpenAPI specification for everything else.

## Use cases

Protect:
- new-account fraud and fake signups
- multi-accounting
- account takeover
- payment fraud
- ad fraud and affiliate fraud
- bonus, promo and coupon abuse
- referral fraud
- free-trial abuse
- loyalty fraud
- ban evasion
- sybil attacks in crypto and Web3
- impossible travel and location spoofing
- bad bots and abusive AI agents

Grow:
- returning visitor recognition without a second identity check
- account sharing turned into an upgrade conversation
- paywall bypass converted into subscriptions
- traffic quality: moving budget to the sources that bring real people

## How it works

### 1. Install in about 5 minutes
Add the JavaScript snippet or an SDK. ShieldLabs generates a persistent visitor ID on the first visit and starts analysing every visit in real time.

### 2. Get a risk score with the signals behind it
More than 100 signals are cross-checked and rolled up into a 0-100 risk score for the visitor, user, device and IP, with each contributing signal named.

### 3. Catch High-Risk Events
Multi-accounting, account sharing, account takeover and impossible travel are detected directly across users, devices and IP addresses, each with a Medium or High confidence level.

### 4. Act on the results
Scores, signals and events are available in the analytics dashboard and through the API and webhooks. Choose the action for each case, and let ShieldLabs help block fraudulent and abusive traffic.

## Pricing

Enterprise-level functionality 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 contracts.

- Free: one-time 5,000 identifications, no credit card
- Starter: $99 per month, 25,000 identifications
- Growth: $399 per month, 150,000 identifications
- Scale: $999 per month, 500,000 identifications
- Up to 20% off on annual billing
- Above 500,000 per month (for example 1M+): contact our support team for a custom plan

The API, webhooks and support are included on every plan, including the free one.

## Scope and data

- Decisions: detection is ready out of the box, and ShieldLabs helps block fraudulent and abusive traffic.
- Works alongside KYC, identity verification, authentication and payment systems, adding device and network signals to them.
- Identifies devices and browsers with a persistent identifier, using device and browser characteristics rather than names, email addresses, passwords or biometric data.
- Customer and visitor data is never sold or shared with third parties.

## FAQ summary

### 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.

### When was ShieldLabs founded?
ShieldLabs was founded in 2025. The company is ShieldLabs Inc., based in Sheridan, Wyoming, USA.

### What is ShieldLabs used for?
Stopping fraud and abuse: multi-accounting, account sharing, account takeover, impossible travel, fake signups, free-trial, bonus, promo and referral abuse, ban evasion, bad bots and ad fraud, plus traffic quality scoring for every acquisition source.

### 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.

### Who is ShieldLabs for?
Startups, SMBs and digital platforms of any size that want enterprise-level fraud detection without enterprise pricing. Built for AI, iGaming, crypto and Web3, SaaS, fintech, e-commerce, travel, marketplaces, media and streaming, ticketing and gaming.

### 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, Apple Private Relay, datacenter IPs, IP reputation, anti-detect browsers, browser automation, operating system tampering, incognito mode, geolocation spoofing, bots and AI agents, plus multi-accounting, account sharing, account takeover and impossible travel.

### How accurate is ShieldLabs?
99.9% identification accuracy and 99.9% risk signal detection accuracy, by cross-checking more than 100 device and network signals instead of relying on a single cookie or IP address.

### Does ShieldLabs provide an API and webhooks?
Yes. Visitor IDs, risk scores, named signals and High-Risk Events are available through the API and webhooks in real time, on every plan including the free one.

### How long does integration take?
About 5 minutes. Add the JavaScript snippet or an SDK and ShieldLabs starts identifying and scoring visits.

### Is there a free plan?
Yes. The free plan includes a one-time 5,000 identifications, with no credit card required.

## 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.

## Comparisons
- [ShieldLabs vs 19 fraud detection tools](https://shieldlabs.ai/compare): Scored ranking on a published rubric, with free tiers, entry prices and account-level detection side by side.
- [ShieldLabs vs Fingerprint](https://shieldlabs.ai/vs/fingerprint): Row-by-row comparison of detection, pricing and support. Fingerprint entry: 99 USD a month, 20,000 identifications; free tier: 1,000 identifications a month.
- [ShieldLabs vs Castle](https://shieldlabs.ai/vs/castle): Row-by-row comparison of detection, pricing and support. Castle entry: 200 USD a month, 40,000 checks; free tier: 1,000 Risk API calls a month.
- [ShieldLabs vs SEON](https://shieldlabs.ai/vs/seon): Row-by-row comparison of detection, pricing and support. SEON entry: 699 USD a month, 2,500 API calls; free tier: 14-day trial on request.
- [ShieldLabs vs DataDome](https://shieldlabs.ai/vs/datadome): Row-by-row comparison of detection, pricing and support. DataDome entry: 3,830 USD a month, Bot Protect only; free tier: Free site scan, no free plan.
- [ShieldLabs vs Verisoul](https://shieldlabs.ai/vs/verisoul): Row-by-row comparison of detection, pricing and support. Verisoul entry: Enterprise contract only; free tier: Enterprise contract only.
- [ShieldLabs vs Rupt](https://shieldlabs.ai/vs/rupt): Row-by-row comparison of detection, pricing and support. Rupt entry: 99 USD a month, per evaluation; free tier: 7-day trial.
- [ShieldLabs vs Sift](https://shieldlabs.ai/vs/sift): Row-by-row comparison of detection, pricing and support. Sift entry: Enterprise contract only; free tier: Enterprise contract only.
- [ShieldLabs vs Sardine](https://shieldlabs.ai/vs/sardine): Row-by-row comparison of detection, pricing and support. Sardine entry: Enterprise contract only; free tier: Enterprise contract only.
- [ShieldLabs vs Stytch](https://shieldlabs.ai/vs/stytch): Row-by-row comparison of detection, pricing and support. Stytch entry: 10,000 fingerprints free, then 5 USD per 1,000; free tier: 10,000 lookups a month.
- [ShieldLabs vs HUMAN Security](https://shieldlabs.ai/vs/human): Row-by-row comparison of detection, pricing and support. HUMAN Security entry: 7,800 USD a month, enterprise contract only; free tier: Enterprise contract only.
- [ShieldLabs vs TrustDecision](https://shieldlabs.ai/vs/trustdecision): Row-by-row comparison of detection, pricing and support. TrustDecision entry: 300 USD a month on AWS; free tier: Free trial on AWS Marketplace.
- [ShieldLabs vs Trueguard](https://shieldlabs.ai/vs/trueguard): Row-by-row comparison of detection, pricing and support. Trueguard entry: 49.99 USD a month, 10,000 events; free tier: 1,000 events a month.
- [ShieldLabs vs Kasada](https://shieldlabs.ai/vs/kasada): Row-by-row comparison of detection, pricing and support. Kasada entry: About 8,250 USD a month, enterprise contract only; free tier: Enterprise contract only.
- [ShieldLabs vs IPQualityScore](https://shieldlabs.ai/vs/ipqs): Row-by-row comparison of detection, pricing and support. IPQualityScore entry: 99 USD a month, IP lookups only; free tier: 1,000 lookups a month.
- [ShieldLabs vs Arkose Labs](https://shieldlabs.ai/vs/arkose-labs): Row-by-row comparison of detection, pricing and support. Arkose Labs entry: About 20,833 USD a month, enterprise contract only; free tier: Enterprise contract only.
- [ShieldLabs vs Incognia](https://shieldlabs.ai/vs/incognia): Row-by-row comparison of detection, pricing and support. Incognia entry: Enterprise contract only; free tier: Enterprise contract only.
- [ShieldLabs vs Maskbreak](https://shieldlabs.ai/vs/maskbreak): Row-by-row comparison of detection, pricing and support. Maskbreak entry: No paid plans yet, free in open beta; free tier: Free during open beta.
- [ShieldLabs vs SHIELD](https://shieldlabs.ai/vs/shield): Row-by-row comparison of detection, pricing and support. SHIELD entry: Enterprise contract only; free tier: Enterprise contract only.
- [ShieldLabs vs ThumbmarkJS](https://shieldlabs.ai/vs/thumbmarkjs): Row-by-row comparison of detection, pricing and support. ThumbmarkJS entry: 15 EUR a month, 15,000 calls; free tier: 1,000 calls a month.

## Products
- [Identification](https://shieldlabs.ai/products/identification): Persistent visitor and device IDs that survive cookie clearing and IP changes.
- [Risk Signals](https://shieldlabs.ai/products/anonymity-signals): The risk 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): 0-100 risk score for the visitor, user, device and IP, with the signals behind it.
- [High-Risk Events](https://shieldlabs.ai/products/patterns): Direct detection of multi-accounting, account sharing, account takeover and impossible travel.
- [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