Payment fraud controls are automated verification and monitoring tools that help detect and prevent unauthorized transactions. These controls apply proactive screening, rule-based restrictions, and risk signals to reduce losses and protect merchants and customers.
Effective fraud prevention uses layered controls tuned to business risk. The right combination helps reduce fraud and chargebacks without adding unnecessary friction.
Reduce fraud exposure with configurable controls that balance security and checkout speed.
Verify billing address and card security code to reinforce transaction validation and limit chargeback exposure.
Monitor transaction patterns and set thresholds for counts, amounts, and time windows to detect rapid fraud attempts and unusual activity.
Block high-risk BIN ranges and suspicious IP addresses, with geo-based restrictions for elevated-risk regions and automated threat blocking.
Exclude known fraudulent entities with customizable blacklists; manage blocked cards, emails, devices, and IP addresses in real-time.
See how multi-layered fraud prevention outperforms basic security checks across coverage, configurability, and real-time response.
| Aspect | Paygasus Advanced | Basic Controls |
|---|---|---|
| Detection | Velocity monitoring, BIN analysis, ML scoring | Simple AVS/CVV checks only |
| Prevention | Proactive blocking with real-time rules | Reactive post-transaction review |
| IP Management | Geo-blocking, proxy detection, IP reputation | No IP-level controls |
| Blacklists | Multi-attribute lists (card, email, device, IP) | Manual card-only blocking |
| Analytics | Real-time dashboards, trend analysis, reporting | Basic transaction logs |
| Integration | Configurable rules engine | Static rule sets |
Ready to protect your revenue with advanced fraud controls?
Talk to a Specialist →Paygasus combines machine learning based scoring with layered rules for real-time protection that reduces chargebacks while maintaining approval rates.
Strengthen risk decisioning with customizable controls and ML-based scoring designed to protect revenue without disrupting legitimate payments.
Follow these four steps to implement comprehensive fraud protection.
Configure AVS/CVV requirements and set baseline fraud prevention rules for your business.
Configure transaction frequency limits and amount thresholds for velocity monitoring.
Configure blocked cards, emails, devices, and IP addresses for known fraudulent entities.
Track fraud metrics in real-time and refine rules based on evolving threat patterns.
Contact the Paygasus team to implement multi-layered fraud prevention.