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iGaming anti-fraud·
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00iGaming anti-fraud
Fraud is a margin leak

iGaming anti-fraud
and risk management

Fraud and risk tooling for iGaming operators — bonus abuse, multi-accounting and payment fraud caught by rules you can explain to a regulator.

What anti-fraud covers

Four areas where operators lose money quietly.

01

Bonus abuse detection

Patterns of farmed promotions, matched betting and coordinated accounts, flagged against wagering and deposit behaviour.

02

Multi-accounting

Device, network and behavioural signals linked across accounts so one person is not three players claiming three welcome bonuses.

03

Payment fraud and chargebacks

Risk scoring on deposits and withdrawals, velocity rules and holds that stop a payout while keeping genuine players moving.

04

Case review workflow

A queue for risk analysts with evidence, decisions and an audit trail, so every block or release can be explained later.

Rules first, models second

We start with rules the team can read, and add models only where they earn it.

01 / 03

Find the leaks

We analyse your player and payment data to size where abuse and chargebacks actually cost money.

Data analysisLoss sizingPattern review
02 / 03

Build the rule engine

Configurable rules, scoring and device signals wired into registration, bonus and payout flows.

Rule engineScoringDevice signals
03 / 03

Tune and review

False-positive tracking and analyst feedback loops, so the system gets stricter on fraud and easier on real players.

Feedback loopDashboardsTuning

What we work with

A pipeline that decides in real time without becoming a bottleneck for registration or payouts.

Data
PostgreSQLClickHouseKafkaRedis
Signals
Device fingerprintingIP and geoBehavioural events
Integration
KYC providersPSP risk dataPAM and CRM

Where is the
money leaking?

Share what you see in bonus and payment losses. We will start with the data and size the problem first.

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