llms.txt
# 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.
Core topics:
- fraud detection and prevention
- traffic quality scoring by source, channel, referrer and UTM campaign
- visitor and user identification with a persistent visitor ID
- device and network intelligence (300+ signals, cross-checked)
- risk signal detection (VPN, proxy, Tor, anti-detect browsers, automation)
- bot and AI traffic detection
- risk scoring (0-100) for the visitor, user, device and IP address
- High-Risk Events: multi-accounting, account sharing, account takeover, impossible travel
- API and webhooks
Risk bands:
- Trusted: 0-29
- Suspicious: 30-59
- Dangerous: 60-100
Risk signals detected (each returned as an individual named signal):
- 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, including residential proxies
- Tor detection: connections through the Tor network
- Apple Private Relay detection: relayed connections such as iCloud Private Relay
- Datacenter IP detection: connections from datacenter and hosting infrastructure
- IP reputation: an IP address reported for abuse elsewhere
- Anti-detect browser detection: a browser that spoofs or rotates its fingerprint
- Browser automation detection: headless and automated browsers
- Operating system tampering: a mismatch between the reported and actual operating system
- Incognito mode detection: private browsing used to mask identity
- Geolocation spoofing detection: a spoofed or inconsistent geographic location
- Bot and AI agent detection: bots, automated traffic and AI agents, with bad bots separated from good ones
High-Risk Events (detected directly, each with 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
Pricing:
- Free: one-time 5,000 identifications, no credit card
- Starter: $99 / month, 25,000 identifications
- Growth: $399 / month, 150,000 identifications
- Scale: $999 / month, 500,000 identifications
- Up to 20% off on annual billing
- Above 500,000 / month (for example 1M+): contact support for a custom plan
Billing is per identification (per request), not per seat or per monthly active user. The API, webhooks and support are included on every plan, including the free one. Start free, self-serve, no sales calls.
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 payments, adding device and network signals to them.
- Identifies devices and browsers with a persistent identifier; it works with device and browser characteristics, not with names, emails, passwords or biometric data.
## 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.
- [Demos by use case](https://shieldlabs.ai/demo): Live demos of 20 fraud and abuse use cases, each running the real ShieldLabs snippet and a backend that acts on the Device ID, Risk Score and risk signals.
- [Anonymity Checker](https://shieldlabs.ai/demo/anonymity-checker): Free tool that runs ShieldLabs on your own visit and shows your Risk Score (0-100), Device ID and every risk signal, including VPN, proxy, Tor, anti-detect browser and browser automation.
- [Docs](https://docs.shieldlabs.ai/): API, webhooks, and integration reference.
## Demos
- [Coupon Fraud Prevention Test](https://shieldlabs.ai/demo/coupon-fraud): One coupon redemption per device, through incognito mode and VPNs.
- [Credential Stuffing Prevention Test](https://shieldlabs.ai/demo/credential-stuffing): A correct password from an unknown device is challenged; repeated failed logins from one browser are blocked.
- [Account Sharing Prevention Test](https://shieldlabs.ai/demo/account-sharing): One account signed in from a second browser is stopped until the first device signs out.
- [Payment Fraud Prevention Test](https://shieldlabs.ai/demo/payment-fraud): Card testing, chargeback history and stolen cards linked to one device.
- [Loan Application Fraud Prevention Test](https://shieldlabs.ai/demo/loan-risk): Inconsistent loan applications from one device are flagged.
- [Paywall Bypass Prevention Test](https://shieldlabs.ai/demo/paywall): A free article limit that holds after cookies are cleared or in incognito mode.
- [Anonymous Visitor Personalization Test](https://shieldlabs.ai/demo/personalization): Search history and cart restored for a returning visitor without an account.
- [Web Scraping Prevention Test](https://shieldlabs.ai/demo/web-scraping): Automated and headless browsers are refused by the data endpoint.
- [Bot Firewall Test](https://shieldlabs.ai/demo/bot-firewall): IP addresses of detected bot visits are blocked on the next visit.
- [SMS Pumping Fraud Prevention Test](https://shieldlabs.ai/demo/sms-pumping): Verification codes capped per device, with bots and Tor refused.
- [VPN Detection Test](https://shieldlabs.ai/demo/vpn-detection): Regional pricing refused to visitors behind a VPN, proxy or Tor, or with a mismatched time zone.
- [New Account Fraud Prevention Test](https://shieldlabs.ai/demo/new-account-fraud): One free trial per device.
- [Ban Evasion Prevention Test](https://shieldlabs.ai/demo/ban-evasion): A banned device is recognized when it returns under a new account.
- [Account Takeover Prevention Test](https://shieldlabs.ai/demo/account-takeover): A correct password from a device the account never used needs a one-time code first.
- [Chargeback Dispute Evidence Test](https://shieldlabs.ai/demo/chargeback-dispute): A disputed order is shown next to earlier, undisputed orders from the same device.
- [Survey Fraud Prevention Test](https://shieldlabs.ai/demo/survey-fraud): One paid survey reward per device, whatever email is used.
- [Bonus Abuse Prevention Test](https://shieldlabs.ai/demo/bonus-abuse): One welcome deposit bonus per device, however many accounts it opens.
- [Promo Abuse Prevention Test](https://shieldlabs.ai/demo/promo-abuse): One first-order discount per device, through new emails and incognito mode.
- [Referral Fraud Prevention Test](https://shieldlabs.ai/demo/referral-fraud): No referral reward when the referrer and the new signup share a device.
- [Sybil Attack Prevention Test](https://shieldlabs.ai/demo/sybil-attack): One airdrop claim per device, whatever wallet address is used.
## 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/risk-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
- [Email](mailto:contact@shieldlabs.ai): contact@shieldlabs.ai
- [X](https://x.com/Shieldlabs_ai): ShieldLabs on X.
- [LinkedIn](https://www.linkedin.com/company/shieldlabs-ai): ShieldLabs on LinkedIn.
