Organization:RaptorX AI
Copyright:RaptorX AI
Credit:RaptorX AI
Organization:RaptorX AI
Copyright:RaptorX AI
Credit:RaptorX AI
Catch card-level and telco-wallet fraud in real time. Fraud doesn't wait — and neither does RaptorX.
Cards and wallets are prime targets for coordinated fraud — from ghost ATMs and synthetic merchant rings to rapid-fire wallet spend and small-ticket laundering.
Fraudsters exploit blind spots between BINs, merchants, and wallet ecosystems. Traditional fraud engines miss the pattern. RaptorX sees it all — in under 300ms.
Spend velocity often mimics real usage
Ghost ATMs or dummy merchants blend into local patterns
Wallet fraud rides on emerging rails with limited rules
Cross-border small-ticket transactions evade thresholds
Loyalty point or voucher redemption loops are rarely linked back to fraud
Spikes in merchant activity and MCC shifts often reveal coordinated fraud rings.
Ghost ATM withdrawals and BIN anomalies signal cross-border fraud attempts.
Wallet abuse exploits velocity and circular flows across linked accounts.
Redemption loops and micro-transactions quietly launder funds through prepaid systems.
Decisioning in real time, even under peak load — without slowing user experience.
Model learns and adapts to normal behavior by card type, geography, and usage context.
Surface emerging high-risk merchants using pattern-first behavior modeling.
Link suspicious flows across cards, wallets, and device identities — even if accounts appear clean.
Works across both legacy and modern payment rails (EMV, QR, tokenized wallets)
Real-time risk scoring with explainable anomaly surfaces
Detects fraud rings within 48 hours, not after customer complaints
Supports regional wallet providers and telco ecosystems
Reduces operational false positives while catching first-time fraud
See how RaptorX prevents coordinated wallet and card fraud — before funds move out.