Fraud and risk management combines automated decisioning and verification services to identify and stop unauthorized transactions. Paygasus applies configurable controls and continuous monitoring to protect revenue, limit chargeback exposure, and keep approval rates high.
Paygasus’ fraud management tools are designed to decrease fraud losses and chargebacks without adding unnecessary friction at checkout.
Filters block or allow transactions based on card numbers, IP addresses, billing information, and customer reference fields.
Restrict transactions by count or dollar amount over defined time periods to help prevent high-frequency fraud attempts such as card testing.
Assigns a risk score to card transactions using proprietary signals to support automated approve, decline, or review decisions.
3DS confirms the cardholder with the issuing bank, AVS checks billing address details, ANI validates the calling number, and CVV verifies the 3- or 4-digit security code (CVV/CVC) with the issuer.
Identifies and rejects duplicate transactions based on account number, amount, and currency within a defined timeframe.
Compare enterprise-grade fraud controls and basic protections across security coverage, decisioning precision, and approval-rate performance.
| Capability | Paygasus Fraud Suite | Basic Fraud Tools |
|---|---|---|
| Detection Method | Real-time analysis with AI scoring | Manual rules only |
| Customization | Fully configurable filters and controls | Limited options |
| Verification | 3DS, AVS/ANI, CVV integrated | Basic CVV check |
| Security Enhancements | Tokenization and encryption | None or basic |
| Risk Assessment | API for manual review | No API support |
| Chargeback Reduction | Up to 10x lower | Minimal impact |
Ready to strengthen your fraud prevention?
Talk to a Specialist →Paygasus provides enterprise-grade fraud prevention with streamlined day-to-day management and developer-friendly APIs to support advanced integration requirements.
Comprehensive fraud management reduces losses while supporting strong acceptance rates through proactive, real-time decisioning.
Follow these five steps to build a comprehensive fraud prevention strategy.
Set up positive/negative lists based on your risk profile.
Define limits to catch pattern-based fraud attempts.
Use automated decisions for high-volume processing.
Layer 3DS, AVS, and CVV for maximum protection.
Use reporting to refine rules over time.
Layered security technologies work together to protect every transaction.
Tokenization replaces sensitive card data with tokens to reduce breach risk. Tokenized values are not usable if intercepted, strengthening overall data protection.
Assess transaction risk before processing using detailed risk signals to support custom fraud decisioning logic for advanced use cases.
Multi-layered, EMV-enabled protection secures data in transit across the payment lifecycle.
Our comprehensive fraud prevention helps maximize acceptance and minimize risk.