Tracking fraud (anti-fraud) in betting

Main types of fraud
Type of Fraud | Examples and Risks |
---|---|
Multiaccounting | Single Player - Multiple Accounts for Bonuses |
Arbitration rates | Using cap difference across platforms |
Mass autostacks | Bots or scripts that beat the live line |
Fraud with KYC | Forged documents, identity spoofing |
Fraud through payments | Chargeback, card substitution, cash out through other people's wallets |
Player collusion | Collective market manipulation |
How anti-fraud works
Data collection: session activity, device, IP, behavior
Behavior analysis: abrupt deposits, peak rates, repetitive actions
Connections between accounts: matches by devices, addresses, payments
Alerts: in violation of limits, attempts to deceive, multiple logins
Automatic account blocking/phishing before verification
Tools and technologies
Scoring model: accrual of "risk rating" for each user
Device fingerprinting: unique device tag for tracking
IP Intelligence: proxy recognition, VPN, TOR
AI/ML algorithms: learning from suspicious patterns
Integration with anti-fraud payment services: AdvCash, CoinsPaid, SumSub
Suspicious behavior
Temporary Withdrawal Hold
Security Notification
KYC Requalification Request
Logging all actions and logs
Can escalate to manual moderator check
Platform Benefits
Protecting profits and honest players
Reduce support burden
Less chargeback and transactional disputes
Rapid identification of repeat offenders
Increased trust from regulators and partners
Anti-fraud is not just a module, but the foundation of the security of the entire platform. Only with an active, adaptive protection system can a long-term and legal betting business be built. The game must be fair - for all parties.
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