iGaming Fraud & Abuse Prevention
iGaming fraud prevention.
Reward real players.
Repeated accounts and automated signups consume promotion budgets. ShieldLabs detects multi-accounting, bots and account takeover to help protect bonuses, player access and saved value.
Start FreeClaim your welcome bonus
An offer for new players.
Anti-Detect BrowserProxy
Protect bonus budgets
Keep introductory rewards for eligible players.
Keep player growth credible
Stop repeat accounts from inflating acquisition.
Protect member accounts
Detect risky access around saved balances and rewards.
Welcome trusted play
Keep legitimate customers moving through your web product.
Promotion eligibility
Stop repeat bonus claims.
Reward real players.
ShieldLabs detects multi-accounting among users registered under different emails. Help stop repeated welcome bonuses, deposit offers and referral rewards from consuming your player-acquisition budget.
Signup automation
Stop automated account farms.
Preserve promotion value.
ShieldLabs detects bots and headless browsers creating accounts and requesting rewards at scale. Protect signup, bonus enrollment and web payment flows from scripted activity.
Expose disguised requests
Detect proxies and anti-detect browsers around player signup and reward flows.
Find risky acquisition sources
See the channels, referrers and campaigns bringing automated traffic to your player signup and reward flows.
Player account security
Protect player access.
Keep saved value secure.
ShieldLabs detects account takeover and impossible travel around player access. Help protect balances and rewards before withdrawals, payment changes and redemption.
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
Stop bonus farming.
Reward real players.
Start Free FAQ
Understand the evidence.
Put it to work.
What is iGaming account abuse?
iGaming account abuse includes bonus abuse through repeated accounts, automated enrollment and unauthorized access to player accounts.
How does ShieldLabs help prevent fraud and abuse in iGaming?
ShieldLabs detects multi-accounting, bots and account takeover around your web product. Ready-made risk assessments help protect access, incentives and legitimate customers.
How does ShieldLabs detect iGaming bonus abuse?
Multi-accounting detection identifies players returning through additional accounts with different emails. Bot detection exposes automated bonus enrollment in the web flow.
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 ShieldLabs assess player access before a reward claim?
Yes. A scored identification and account abuse detections can protect web sign-in, bonus enrollment and reward redemption while trusted players keep moving.
Can I use ShieldLabs before deposits and withdrawals?
Yes. Receive account takeover, bot and identification risk results around your web payment and payout flows to help protect player access and saved balances.
Can ShieldLabs help identify iGaming affiliate fraud?
ShieldLabs shows traffic quality by channel, referrer and campaign, including bots and multi-accounting among referred signups. Affiliate commission rules and payout fraud decisions remain in your partner program.