Ticketing Fraud & Abuse Prevention
Ticketing fraud prevention.
Keep access fair.
Bots and repeated accounts can consume access intended for legitimate customers. ShieldLabs detects automation and multi-accounting to help protect signup, sale access and sensitive ticket-account activity.
Start FreeReserve your seats
Complete your ticket order.
Browser automationProxy
Protect sale access
Help keep automated requests from crowding out customers.
Enforce participation limits
Detect repeat accounts behind restricted access.
Secure customer accounts
Protect ticket-account access from takeover.
Welcome genuine customers
Keep trusted visits moving through your web sale.
Restricted participation
Keep ticket access fair.
Stop repeat accounts.
ShieldLabs detects multi-accounting among users registered under different emails. Help protect presale access, customer purchase limits and introductory ticket benefits from repeat participation.
Automated sale requests
Detect ticketing bots.
Preserve customer access.
ShieldLabs detects browser bots reaching signup, presales and checkout. Help stop scripted ticket requests from consuming capacity and crowding out genuine fans.
Expose disguised requests
Detect proxies and anti-detect browsers around ticket signup and sale workflows.
Find risky acquisition sources
See the channels, referrers and campaigns bringing automated traffic to your ticket signup and sale workflows.
Ticket-account security
Protect saved access.
Stop account takeovers.
ShieldLabs detects account takeover around ticket accounts. Help protect customer access before ticket transfers, profile changes and other sensitive web 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
Keep tickets for fans.
Stop scripted abuse.
Start Free FAQ
Understand the evidence.
Put it to work.
What is ticketing account and bot abuse?
Ticketing abuse includes automated sale requests, repeated accounts used to bypass access limits and unauthorized use of ticket accounts.
How does ShieldLabs help prevent fraud and abuse in Ticketing?
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 presale accounts?
Yes. Multi-accounting detection connects registered accounts using different emails, and bot detection covers automated presale signup and checkout requests.
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 a ticketing site assess a buyer before checkout?
Yes. Scored browser identifications and named bot or masking detections can protect web presale and purchase flows without claiming to enforce inventory limits.
How can ShieldLabs help enforce ticket-purchase limits?
ShieldLabs detects multi-accounting and bots around presale signup and checkout. Your ticketing product can apply these detections alongside its customer eligibility and purchase limits.