# 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 with up to 99% accuracy, and returns an explainable risk score with the signals behind it and ready-made patterns that point to abuse. 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. Core topics: - visitor identification and persistent visitor ID - anonymity detection at any level - browser and device fingerprinting - identity graph - traffic quality analysis - explainable risk scoring (0-100) - traffic risk scoring - API and webhooks Anonymity and environment signals detected (each contributes its reasons to 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 of various types - Tor detection: connections 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: an IP address reported for abuse elsewhere - Anti-detect browser detection: a browser that spoofs or rotates 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: private or incognito browsing used to mask identity - Suspicious paid click detection: low-quality or invalid clicks on paid campaigns from anonymized or datacenter sources Ready-made patterns (dashboard only, not in the payload): - 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 These patterns point to abuse such as multi-accounting, account sharing, account takeover, and ban evasion. Pricing: - Free — one-time 5,000 identifications, no credit card - Starter — 25,000 identifications / month, $3.96 per 1,000 (about $99 / month) - Growth — 150,000 identifications / month, $2.66 per 1,000 (about $399 / month) - Scale — 500,000 identifications / month, $1.99 per 1,000 (about $999 / month) - 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. Start free, self-serve, no sales calls. 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 KYC, identity verification, authentication, or payments. 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 person. - It does not collect personal data such as names, emails, or passwords, and does not track people across different sites. - It does not use biometric fingerprints. Fingerprinting here means device and browser characteristics, not 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. - [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 - [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.