Paysight.io – Fraud & Dispute MitigationObjective: Reduce Visa/Mastercard fraud alerts (VAMP/TC40s) and chargebacks through layered prevention, authentication, and transparency. The measures below show how Paysight.io’s CRM proactively lowers fraud alerts and chargeback risk. The percentages (↓) represent estimated reductions in TC40s/VAMP when each feature is applied.
Core Measures
Network Tokens on Opt-in & Rebills (Visa & Mastercard)
Network Token Implementation
Replace card numbers with Visa/Mastercard tokens for ongoing billing. Tokens are more secure, update automatically, and reduce fraud claims.Expected Reduction: ↓ ~30%
3DS in All Markets (Visa & Mastercard)
3D Secure Authentication
Ensures a transaction is fully authenticated by the consumer. When approved, liability shifts to issuers and fraud flags are avoided.Benefits: Enhanced security and liability protection
3RI on Recurring Payments (Visa & Mastercard)
3DS Requestor-Initiated Authentication
Use 3DS Requestor-Initiated authentication with device/IP/browser data. Creates a digital trail issuers can verify, reducing “no-auth” fraud flags.Expected Reduction: ↓ ~30%
Visa Order Insight & CR 3.0 Compliance (Visa & Mastercard)
Enhanced Transaction Transparency
Share metadata (IP, device, login history) with issuers. This transparency helps issuers confirm transactions, cutting friendly fraud disputes.Expected Reduction: ↓ 10–15%
Consumer Clarity (Mastercard)
Enhanced Billing Details
Shows enhanced billing details (merchant name, product, location) to cardholders via their bank app. Reduces “unrecognised charge” fraud claims.Benefits: Improved cardholder recognition and reduced disputes
Fraud Scoring
Real-Time Risk Assessment
Scores transactions in real time before capture. High-risk authorisations are blocked, preventing them from turning into fraud cases.Benefits: Proactive fraud prevention and risk mitigation
Rapid Dispute Resolution (Visa)
Automated Dispute Handling
Automatically refunds eligible disputes before they escalate to chargebacks. Improves user experience and prevents fraud alerts from escalating.Benefits: Faster resolution and improved customer experience
CDRN (Visa)
Chargeback Dispute Resolution Network
Intercepts unresolved Visa disputes and routes them to merchants for fast resolution, reducing ratios by preventing TC40 records also becoming TC15 (chargeback).Benefits: Reduced chargeback escalation and improved dispute resolution
Clear Descriptors & Automated Care (Visa & Mastercard)
Enhanced Billing Descriptors
Billing descriptors match the website and include contact info. Automated care responses help resolve issues before cardholders contact banks.Benefits: Improved cardholder recognition and proactive issue resolution
Expected Impact
Contact SupportFor implementation assistance: [email protected]
Comprehensive Fraud Prevention Guide
Protecting your business from fraudulent transactions and chargebacks requires a proactive, multi-layered approach. This comprehensive guide provides the tools, strategies, and processes needed to minimize fraud-related disputes and maintain healthy payment processing relationships.What is Fraud Dispute Mitigation?Fraud dispute mitigation involves implementing preventive measures, monitoring systems, and response protocols to reduce fraudulent transactions and successfully defend against chargebacks. It’s a critical component of maintaining low dispute ratios and protecting your merchant account.
Understanding Fraud Disputes
Types of Fraud Disputes
Fraudulent Transactions
Fraudulent Transactions
- Card Not Present (CNP) Fraud: Unauthorized use of stolen card information
- Identity Theft: Fraudsters using stolen personal information
- Account Takeover: Unauthorized access to legitimate customer accounts
- Friendly Fraud: Legitimate customers claiming unauthorized transactions
Chargeback Categories
Chargeback Categories
- Authorization Issues: Transactions processed without proper authorization
- Processing Errors: Duplicate charges, incorrect amounts, or processing mistakes
- Consumer Disputes: Product/service not as described or not received
- Fraud Claims: Unauthorized transaction claims
Impact of High Dispute Ratios
Prevention Strategies
Pre-Transaction Prevention
Advanced Fraud Prevention
Device Fingerprinting
Track and analyze device characteristics to identify suspicious patterns
Behavioral Analysis
Monitor user behavior patterns to detect anomalies
Geolocation Verification
Verify transaction location against customer’s typical patterns
Machine Learning Models
Use AI-powered fraud detection for real-time risk assessment
Monitoring and Detection
Real-Time Monitoring
Continuous MonitoringSet up automated alerts for:
- High-value transactions
- Unusual spending patterns
- Multiple failed authorization attempts
- Transactions from high-risk countries
- Rapid succession of transactions
Key Metrics to Track
Transaction Metrics
Transaction Metrics
- Authorization Rate: Percentage of approved transactions
- Decline Rate: Percentage of rejected transactions
- Average Transaction Value: Monitor for unusual spikes
- Transaction Volume: Track daily/weekly/monthly patterns
Fraud Indicators
Fraud Indicators
- Chargeback Rate: Disputes per total transactions
- Fraud Rate: Confirmed fraudulent transactions
- False Positive Rate: Legitimate transactions flagged as fraud
- Customer Complaints: Direct fraud reports from customers
Response Protocols
Immediate Response Actions
Chargeback Response Process
Receiving a Chargeback
Receiving a Chargeback
Evidence Collection
Evidence Collection
Documentation Requirements
Essential Documentation
Transaction Records
- Receipts and invoices
- Processing confirmations
- Authorization codes
- Transaction timestamps
Customer Communications
- Email correspondence
- Chat transcripts
- Phone call records
- Support ticket history
Delivery Proof
- Shipping confirmations
- Delivery receipts
- Tracking information
- Signature confirmations
Authentication Data
- 3D Secure authentication
- Biometric verification
- Device fingerprinting
- IP address verification
Documentation Best Practices
Technology Solutions
Fraud Prevention Tools
Real-Time Fraud Detection
Real-Time Fraud Detection
- Machine Learning Models: AI-powered risk assessment
- Rule-Based Systems: Customizable fraud detection rules
- Behavioral Analytics: Pattern recognition and anomaly detection
- Device Intelligence: Device fingerprinting and tracking
Authentication Methods
Authentication Methods
- 3D Secure: Additional authentication for online transactions
- Biometric Verification: Fingerprint, facial recognition
- Two-Factor Authentication: SMS, email, or app-based verification
- Risk-Based Authentication: Dynamic authentication requirements
Monitoring Systems
Monitoring Systems
- Transaction Monitoring: Real-time transaction analysis
- Velocity Checks: Frequency and amount limits
- Geolocation Services: Location-based risk assessment
- Blacklist Management: Block known fraudulent entities
Industry Best Practices
Merchant Best Practices
Chargeback Management
Prevention Focus
Implement proactive measures to prevent disputes before they occur
Quick Response
Respond to chargebacks within required timeframes
Evidence Quality
Maintain high-quality documentation for all transactions
Process Improvement
Continuously refine processes based on dispute outcomes
Troubleshooting Common Issues
High Dispute Ratios
Analyze Dispute Patterns
Analyze Dispute Patterns
False Positives
Compliance and Regulations
Regulatory Requirements
Key Regulations
- PCI DSS: Payment Card Industry Data Security Standard
- GDPR: General Data Protection Regulation (EU)
- CCPA: California Consumer Privacy Act
- Local Regulations: Country-specific fraud prevention requirements
Compliance Best Practices
Data Protection
Data Protection
- Encrypt sensitive customer data
- Implement access controls
- Regular security audits
- Data retention policies
Fraud Reporting
Fraud Reporting
- Maintain fraud incident logs
- Report significant fraud events
- Cooperate with law enforcement
- Share intelligence with industry partners
Performance Metrics
Key Performance Indicators
Fraud Prevention
- Fraud Rate: Percentage of fraudulent transactions
- False Positive Rate: Legitimate transactions flagged as fraud
- Detection Accuracy: Fraud detection system effectiveness
- Response Time: Time to identify and respond to fraud
Dispute Management
- Dispute Rate: Percentage of transactions resulting in disputes
- Win Rate: Percentage of successfully defended chargebacks
- Response Time: Time to respond to chargebacks
- Resolution Time: Time to resolve disputes
Reporting and Analytics
Support and Resources
Documentation Links
PCI DSS Guidelines
Official PCI Security Standards Council documentation
Fraud Prevention Best Practices
Visa fraud prevention guidelines and resources
Contact Information
Need Help?
- Paysight Support: Contact your account manager for fraud prevention assistance
- Technical Issues: Use the troubleshooting section above for common problems
- Emergency Response: Follow the immediate response protocols for urgent fraud incidents
Related Documentation
- Payment Security Guide
- Chargeback Management
- Customer Service Best Practices
- Compliance Requirements
Last UpdatedThis guide was last updated on . For the most current information, always refer to the latest version of this documentation.