Travel Fraud & Abuse Prevention
Travel fraud prevention.
Protect bookings and rewards.
Repeat accounts, booking bots and risky member access can waste incentives and disrupt customer journeys. ShieldLabs detects account abuse and automation to help protect rewards, web booking flows and trusted travelers.
Start FreeRedeem your miles
Choose a reward for your trip.
Location spoofingProxy
Preserve travel incentives
Keep welcome offers and miles for eligible customers.
Protect booking capacity
Keep automated requests from crowding out travelers.
Secure member accounts
Detect risky access around saved points and rewards.
Welcome trusted travelers
Keep legitimate access and bookings moving.
Member incentives
Stop repeat reward claims.
Protect program value.
ShieldLabs detects multi-accounting among member accounts registered with different emails. Help protect introductory miles, promotions and referral rewards.
Booking web traffic
Detect booking bots.
Keep travel access open.
ShieldLabs detects browser bots around fare searches, account signup and booking requests. Help protect availability and purchase flows from scripted scraping and disguised traffic.
Expose disguised requests
Detect proxies and anti-detect browsers around travel search and booking workflows.
Find risky acquisition sources
See the channels, referrers and campaigns bringing automated traffic to your travel search and booking workflows.
Loyalty account access
Catch impossible travel.
Protect member accounts.
ShieldLabs detects impossible travel and account takeover around member access. Help protect saved miles, booking changes and rewards before sensitive redemption actions.
The ShieldLabs platform
More than one fraud check.
Protect your entire product.
Connect identification, device and network intelligence, bots, named risk signals and ready-made account abuse detections. Traffic quality analytics gives the sources behind risky activity.
Enterprise-level functionality. Without enterprise pricing.
Accurate identification
Recognize returning visitors even when they clear cookies, use incognito mode or change their IP address. Detect linked users with different email addresses.
Identification accuracy
High-Risk Event detection
Detect account abuse out of the box by automatically identifying linked users. No fraud model training is required.
Risk signals
Get ready-made detections of automation, masking and spoofing, with named risk signals behind each result.
Bot & AI traffic detection
Detect bot activity from browser automation signals. Recognize useful crawler and AI traffic alongside abuse detections.
Risk scoring
Score every visit from 0 to 100 and classify it as trusted, suspicious or dangerous. See the signals behind each score.
Device fingerprinting
Recognize devices by their fingerprints. Identify the browser, operating system and device type. Detect headless browsers and tampering.
IP & Network Intelligence
Reveal the real IP address and geolocation behind masking. Detect VPNs, proxies and private relays.
203.0.113.42198.51.100.23Traffic quality scoring and risk analytics
Get one score for all your traffic and ready-made quality results by source, channel, referrer and UTM campaign.
Analytics dashboard
Find risky accounts and visits.
See the sources behind them.
Explore visitors, users, devices and IPs with detected account abuse and identification risk assessments. See traffic quality by channel, referrer and campaign.
How it works
Start protecting your product.
Connect once and start receiving ready-made fraud and abuse detections.
- 01
Add the snippet or SDK
Connect your product and start identifying visitors and users.
- 02
Receive ready-made detections
Get detected fraud and account abuse in the dashboard or through API integrations.
- 03
Prevent fraud and abuse
Protect customer accounts, paid access and signup incentives in your product.
Developers
Integrate in
5 minutes.
A single API to identify, detect and score. Receive risk data through API responses and webhooks. Integrate selected data points into your business logic to prevent fraud and abuse.
Protect your users and product
Protect travel rewards.
Keep bookings genuine.
Start Free FAQ
Understand the evidence.
Put it to work.
What is travel account and loyalty abuse?
Travel account and loyalty abuse includes repeated incentive claims, automated booking activity and unauthorized access to member rewards.
How does ShieldLabs help prevent fraud and abuse in Travel?
ShieldLabs detects multi-accounting, bots and account takeover around your web product. Ready-made risk assessments help protect access, incentives and legitimate customers.
Can ShieldLabs detect repeat travel reward claims?
Yes. Multi-accounting detection identifies additional member accounts registered with different emails; account takeover detection protects established reward access.
Does visitor recognition work after cookies are cleared?
Yes. ShieldLabs recognizes returning visitors across new sessions, cleared cookies, incognito browsing and IP changes. These are visitor-recognition capabilities.
How do I integrate ShieldLabs?
Add the browser snippet or client SDK to your web product. Receive identification results, risk signals and account abuse detections through the dashboard, API integrations and webhooks.
Can travel sites assess a booking session?
Yes. Use the identification assessment and named detections around browser-based booking, sign-in and loyalty redemption.
Can ShieldLabs protect booking and reward changes?
Yes. Account takeover and impossible travel detections help protect sensitive web actions around existing bookings, saved miles and loyalty redemptions.