Stop gaming fraud. Protect
your in-game economy

Gaming fraud is any deceptive activity targeting gaming platforms, publishers, and esports sites, and operators usually split it into separate layers that each need a different tool. Anti-cheat layer: in-client cheating like aimbots, wallhacks, memory injection, and automation tools, handled by kernel-level anti-cheat platforms; Account layer: identity abuse such as one person opening many accounts as smurfs, real money trading farms harvesting in-game currency for resale, paid rank-boost services rotating accounts, bonus and promo abuse, and account takeover on real player accounts; Payment layer: card abuse and chargebacks on in-game purchases and digital goods, handled by payment-fraud platforms; Content layer: asset-level fraud like item duplication, exploit abuse, and market manipulation that distorts the in-game economy. ShieldLabs covers the account layer at the web-side signup and login, detecting Multi-accounting (including account farms scaling fresh signups) and Account takeover (logins from unrecognized devices), using persistent visitor and user identification that holds across sessions regardless of email, IP, or cleared cookies.

Prevent gaming fraud by running several layers in parallel, because no single tool covers all of it and abuse slips through wherever nothing is watching. Anti-cheat layer: a kernel-level anti-cheat product detects in-client cheating and exploit tooling; Network layer: a bot-management tool blocks credential stuffing and automated signup floods; Payment layer: a chargeback-prevention or payment-fraud platform screens card transactions on digital purchases; Policy layer: your own rules (hardware bans, rank-locked accounts, region-locked storefronts, account-age requirements for ranked play, trade and gifting limits) keep obvious abuse in check; Account layer: an identification tool detects one person operating many accounts and logins from unrecognized devices. ShieldLabs owns the account layer, powering smurfing detection, RMT detection, and account-takeover detection so you can hold or step up before a smurf finishes onboarding, a real money trading farm accumulates inventory, or a stolen account ships skins to a buyer.

ShieldLabs runs through a single JavaScript snippet on your signup, login, or account page and returns the data you act on, with the first score on the first visit. A 0-100 risk score on every signup and login; Persistent visitor and user identification that holds across sessions, cleared cookies, and rotated IPs; Risk signals: VPN, proxy, Tor, anti-detect browser, IP reputation, and more; High-Risk Events in the analytics dashboard: Multi-accounting, Account sharing, Impossible travel, and Account takeover, each with Medium or High confidence. ShieldLabs delivers the risk score, signals, and events via API and Webhooks, so you can flag, hold, or step up an account before a smurf finishes onboarding, an account farm scales, or a high-risk login completes.

Yes. The mechanism is the same wherever one person can profit by opening many accounts or getting into an account that is not theirs, so ShieldLabs applies across game categories at the web-side signup and login layer. MOBAs (League of Legends, Dota 2, Mobile Legends style): smurfing in ranked queues, paid boost services rotating accounts, and account-market resale of high-MMR accounts, where alt account detection at signup is the operator-side lever; FPS and battle royales (CS-style, Valorant, Apex, Fortnite, PUBG style): smurf accounts in ranked, cheat-account recreation after bans, and skin-account takeover for resale; MMOs and RPGs (World of Warcraft, Final Fantasy XIV, OSRS, Lost Ark style): real money trading account farms, currency-farming networks, and account takeover for inventory theft; Free-to-play games: fake account inflation for referral bonuses, daily-reward farms, and beta-key abuse; Esports tournament platforms: roster fraud, ban-evading cheaters re-entering qualifiers, and account takeover on team accounts. ShieldLabs identifies the visitor and user behind the account in every case, detecting Multi-accounting and Account takeover directly so you can choose to allow, hold, or step up each account.

Yes. ShieldLabs is gaming fraud prevention software for the web-side account layer, the tool a game publisher or esports platform integrates to run gaming fraud detection automatically instead of reviewing accounts by hand. Installs as one JavaScript snippet on your signup, login, and account pages; Returns a risk score and risk signals through the API and Webhooks, with High-Risk Events visible in the analytics dashboard; Covers the fake-account, multi-accounting, account-sharing, and account-takeover activity that underlies most identity-side gaming abuse. ShieldLabs identifies the visitor and user, detects High-Risk Events out of the box, and helps block fraudulent and abusive traffic.

Integrate ShieldLabs by adding one JavaScript snippet to your web signup, login, or account page, a setup that takes about 5 minutes. Place the snippet on your publisher portal, web launcher auth flow, web store, or account-management pages; Pass an optional UserHID (a hashed player or account identifier from your own system) once a player signs up or logs in; Read the risk score and risk signals via API and Webhooks for server-side flows, with High-Risk Events visible in the analytics dashboard. ShieldLabs returns the risk score on the next visit, and the free tier includes 5,000 one-time identifications with no credit card required, so you can test on real traffic before rolling out to production.

ShieldLabs detects risky players out of the box and helps block fraudulent and abusive traffic. 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 a signup for review, require email or phone verification, lock ranked play behind account age, or limit trading and gifting; Trusted (0-29): let the player through with no extra steps. The free tier includes 5,000 identifications to see results on real traffic before rolling out to production.