Stop travel fraud before
it eats into bookings and loyalty

Travel fraud is any deceptive activity targeting travel companies, airlines, hotels, online travel agencies (OTAs), vacation rentals, cruise lines, and the loyalty programs that span all of them. It splits into two layers that need different tools: Transaction layer: fraudulent payments and chargebacks: card-not-present fraud, friendly fraud, ticket reselling for personal gain, and refund abuse. Handled by a payment-fraud or chargeback-prevention platform; Account layer: one person operating many accounts to claim welcome bonuses, vouchers, referral credits, and first-booking discounts more than once (multi-accounting, account farms), plus account takeover of real travelers' loyalty accounts to redeem miles or points. Handled by an account-layer tool at signup and login. ShieldLabs covers the account layer: it detects High-Risk Events such as Multi-accounting (one person behind many accounts) and Account takeover (logins from unrecognized devices), using persistent visitor and user identification that holds across sessions regardless of email, IP, or cleared cookies.

You prevent travel fraud by combining a few layers, because no single tool covers all of it. The layers stack like this: Payment layer: a chargeback-prevention or payment-fraud platform screens transactions, cards, and card-not-present risk; Authentication layer: multi-factor authentication, strong password rules, and step-up checks on high-risk logins and redemptions cut down loyalty account takeover; Policy layer: your own promo rules (limits per traveler, device, payment card, or address; rate-limits on voucher redemption; delayed reward payouts until travel is completed) keep obvious abuse in check; Account layer: an identification tool detects one person operating many accounts and logins from unrecognized devices, so you can hold or step up before a discount is issued or miles are redeemed. ShieldLabs is the account layer: it installs in about 5 minutes, returns a risk score and High-Risk Events on the first visit, so you can act before a welcome bonus, voucher, or miles redemption goes out.

ShieldLabs runs through a single JavaScript snippet on your signup, login, or account page and returns what you need to act on a risky account before it costs you. On each visit it returns: a 0-100 risk score with a signal breakdown; persistent visitor and user identification across sessions; risk signals: VPN, proxy, Tor, anti-detect browser, IP reputation, and more; High-Risk Events in the analytics dashboard, including Multi-accounting and Account takeover, each with Medium or High confidence. When many signups trace back to one device, browser, or identity, ShieldLabs detects Multi-accounting directly. ShieldLabs delivers the risk score, signals, and events via API and Webhooks, so you can flag, hold, or step up an account before a welcome bonus, voucher, or miles redemption goes out.

Yes. The mechanism is the same wherever one person can profit by opening many accounts or by getting into an account that is not theirs, so it maps onto each vertical's downstream abuse: Airlines: welcome-bonus farming and miles theft; OTAs and online booking platforms: first-booking-discount farming and voucher abuse; Hotel chains: points-program abuse and loyalty-account takeover; Vacation rental and short-stay platforms: referral fraud and fake-host or fake-guest account creation. ShieldLabs detects Multi-accounting and Account takeover at signup and login, identifying the visitor and user behind each account, so you can choose to allow, hold, or step up.

Yes, ShieldLabs is travel fraud prevention software focused on the account layer, software a travel company integrates to surface fraud and abuse signals automatically rather than reviewing accounts by hand. Here is what that means in practice: What it is: one JavaScript snippet on your signup, login, and account pages that returns a risk score and risk signals through the API and Webhooks, with High-Risk Events in the analytics dashboard; How it runs: software you integrate and control, with detection ready out of the box; Where it pairs: for payment and chargeback fraud, run it alongside a dedicated payment-fraud platform. ShieldLabs identifies the visitor and user and detects risk signals and High-Risk Events for the fake-account, voucher-abuse, multi-accounting, and loyalty-account-takeover layer, and helps block fraudulent and abusive traffic.

You integrate ShieldLabs by adding one JavaScript snippet to your signup, login, or account page, integration takes about 5 minutes. The steps: Install the snippet and pass an optional UserHID (a hashed account or user identifier from your own system) once a traveler signs up or logs in; Read the risk score and risk signals, returned on the next visit and available via API and Webhooks for server-side flows; Review High-Risk Events in the analytics dashboard. ShieldLabs gives you 5,000 one-time identifications free with no credit card, so you can test on real traffic before rolling out to production.

ShieldLabs detects risky accounts out of the box and helps block fraudulent and abusive traffic, while real travelers book without friction. Every signup and login gets a 0-100 risk score in one of three bands, plus any High-Risk Events, and you choose the action for each case: Dangerous (60-100): hold a signup or a high-risk login for manual review; Suspicious (30-59): flag the account for review, restricted booking, or capped voucher value; Trusted (0-29): let the real traveler through with no extra friction. ShieldLabs gives you 5,000 identifications free to see results on real traffic before rolling out to production.