Gaming Fraud & Abuse Prevention
Gaming fraud prevention.
Protect fair participation.
Repeat accounts, reward farming and risky logins weaken player communities. ShieldLabs detects multi-accounting, bots and account takeover around gaming web products to help protect access, incentives and trusted players.
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Anti-Detect BrowserProxy
Protect participation limits
Expose repeated accounts behind fresh registration details.
Preserve reward budgets
Keep automated claims from consuming player incentives.
Secure player accounts
Detect takeover around saved access and account actions.
Welcome trusted players
Keep legitimate web access moving.
Repeat-account access
Stop smurf-account abuse.
Protect participation limits.
ShieldLabs detects multi-accounting among players registered with different emails. Help stop smurf-account abuse and ban evasion around your gaming web product.
Web reward farming
Stop automated claims.
Keep rewards for players.
ShieldLabs detects browser bots around account signup, event enrollment and web reward claims. Help keep scarce event allocations and incentives available to genuine players.
Expose disguised requests
Detect proxies and anti-detect browsers around gaming signup and web reward workflows.
Find risky acquisition sources
See the channels, referrers and campaigns bringing automated traffic to your gaming signup and web reward workflows.
Player account security
Protect player access.
Keep accounts secure.
ShieldLabs detects account takeover around player accounts. Help protect saved purchases, account settings and sensitive web access while keeping genuine players in control.
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 account abuse.
Protect fair participation.
Start Free FAQ
Understand the evidence.
Put it to work.
What is gaming account abuse?
Gaming account abuse includes repeated or restricted accounts, automated web reward claims and unauthorized access to player accounts.
How does ShieldLabs help prevent fraud and abuse in Gaming?
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 identify repeat accounts after a restriction?
Yes. Multi-accounting detection connects associated registered web accounts even when a player uses a different email; bot detection covers automated reward claims.
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 gaming teams protect time-limited web events?
Yes. Assess browser visits at event enrollment and reward claims, using bot and account abuse detections to protect legitimate participation.
Can this help with account restrictions and limited web events?
Yes. Multi-accounting detection helps identify repeat account use around restricted access, while bot detections help protect event enrollment and web reward claims.