Protect deposit-match and welcome bonuses from abuse
Deposit-match bonuses are one of the highest-value targets for abuse in online casino. Kixo9 flags the patterns before they cost you.
Where iGaming operators lose the most
Deposit-match bonuses exist to reduce the risk of a first deposit for a genuinely new player — the platform matches some or all of it to soften the cost of trying the product. That mechanic makes sense against real acquisition risk. It also makes a deposit-match offer worth systematically working through under multiple identities, since unlike a free sweepstakes entry, the abuser is putting up real money each time but getting matched value back, which is often worth cycling through repeatedly if the deposit can later be withdrawn.
Deposit-match cycling
Depositing, claiming the match bonus, withdrawing, and repeating under a new identity.
Bonus hunting rings
Coordinated groups systematically working through every available promo across many linked accounts.
VIP program abuse
Manufactured play volume designed to unlock VIP tiers and their associated bonus value.
Fits your existing risk stack
Kixo9 adds abuse and multi-accounting detection alongside whatever responsible-gambling and AML tooling you already run — it isn't a replacement for either.
Real-time bonus claim scoring
Every claim is scored before it's approved, not reconciled after the fact once the marketing team notices the promo budget ran over.
Cross-account payout tracking
Flags payout destinations shared across accounts claiming separate deposit-match offers, one of the strongest signals in real-money gaming specifically.
Wagering-requirement pattern checks
Flags accounts that clear wagering requirements through low-risk, near-break-even bets designed purely to unlock the bonus rather than genuinely play.
Bonus hunting rings, specifically
The most organized abuse in iGaming isn't usually one person running a few accounts — it's a coordinated group systematically working through every available promotion on a platform, often sharing strategies and even splitting accounts across members to spread out the pattern. A single reviewer looking at any one account in that ring wouldn't see anything unusual: a normal-looking deposit, a normal-looking bonus claim, a normal-looking withdrawal after wagering requirements are met. The tell only appears when you compare that account against dozens of others claiming the exact same set of promotions in the same rough timeframe, sharing device or payout signals underneath the surface. That's the specific pattern Kixo9's account graph is built to surface.
VIP program manufacturing
VIP and loyalty tiers reward play volume with better rates, faster withdrawals, and dedicated support — all of which have real cost to the operator. Manufactured volume, where an account cycles the same funds through low-house-edge games purely to rack up tier points rather than to actually gamble, quietly inflates that cost without the retention benefit a VIP program is meant to buy. Kixo9 flags accounts whose play pattern looks optimized for tier progression rather than genuine engagement — near-even bets, minimal net loss relative to volume, and timing that clusters right around tier thresholds — so your VIP team can decide whether that account deserves the tier it's about to earn.
Frequently asked
Does Kixo9 replace our AML system?
No — Kixo9 focuses on bonus abuse and multi-accounting fraud, and is designed to run alongside your existing AML and responsible-gambling tools.
Can it distinguish abuse from legitimate high-volume players?
Yes — scoring is based on account-linking and claim-pattern signals, not play volume alone, so genuine high-rollers aren't penalized.
Does this apply to sportsbook operators too, or only casino?
The same account-linkage and bonus-claim patterns apply to sportsbook deposit matches and free-bet promotions, so most of what's described here carries over directly.
What's the first thing most iGaming teams want to see?
Almost always the bonus hunting rings — most operators already suspect they exist but have never had a way to actually see the account clusters behind them until they run a data review.
Where this fits alongside responsible gambling controls
Responsible-gambling tooling and fraud detection solve different problems but share a lot of the same underlying data. A self-exclusion list only works if the platform can reliably recognize that a new signup is the same person who excluded themselves under a different name — which is the same account-linkage problem Kixo9 solves for multi-accounting generally. Several operators end up using the account graph both ways: to catch bonus abuse, and to strengthen self-exclusion enforcement, without running two separate systems that each only see half the picture.
See what's slipping through your bonus program
We'll review a sample of your deposit-match claim data.