Fraud Prevention
Effective fraud prevention requires layered strategies combining authentication, verification, and monitoring.
Key Prevention Methods
Authentication
| Method | Protection Level | Use Case |
|---|---|---|
| 3D Secure 2.0 | Strong | All CNP transactions |
| Multi-Factor Auth | Strong | Account access |
| Biometrics | Strong | Mobile/app transactions |
Verification
| Method | Protection Level | Use Case |
|---|---|---|
| AVS | Medium | Address verification |
| CVV/CVC | Medium | Card presence |
| Email verification | Medium | Account validity |
| Phone verification | Medium | Identity confirmation |
Monitoring
| Method | Protection Level | Use Case |
|---|---|---|
| Machine learning | High | Pattern detection |
| Rules-based | Medium | Known patterns |
| Velocity checks | Medium | Unusual activity |
| Manual review | Variable | High-risk orders |
Authentication Deep Dive
3D Secure Implementation
The most effective fraud prevention tool for CNP transactions:
- Visa Secure - Visa's 3DS brand
- Mastercard Identity Check - Mastercard's 3DS brand
- American Express SafeKey - Amex's 3DS brand
- Discover ProtectBuy - Discover's 3DS brand
Key benefits:
- Liability shift to issuer on fraud
- Reduced fraud chargebacks
- Better customer authentication
Prevention by Fraud Type
Third-Party Fraud
| Prevention | Effectiveness |
|---|---|
| 3DS authentication | High |
| Device fingerprinting | High |
| Velocity rules | Medium |
| AVS/CVV matching | Medium |
Friendly Fraud
| Prevention | Effectiveness |
|---|---|
| Clear descriptors | High |
| Order confirmations | High |
| Delivery confirmation | High |
| Pre-billing alerts | High |
Account Takeover
| Prevention | Effectiveness |
|---|---|
| MFA on login | High |
| Device recognition | High |
| Behavioral analytics | High |
| Session management | Medium |
Layered Defense Strategy
Key Metrics
| Metric | Target | Description |
|---|---|---|
| Fraud rate | under 0.5% | Fraud CBs / Total transactions |
| False positive rate | under 3% | Good orders declined |
| 3DS frictionless rate | over 80% | Frictionless auth / Total 3DS |
| Review rate | under 5% | Orders needing manual review |
Vendor Landscape
See Fraud Vendors for third-party solutions.
Popular in This Section
- 3D Secure Implementation - Liability shift and authentication for CNP
- AVS & CVV - Basic verification checks explained
- Risk Scoring - Building effective fraud scores
Next Steps
Just starting fraud prevention?
- Enable 3D Secure - Biggest impact, liability shift
- Implement AVS/CVV - Basic verification layer
- Set up velocity rules - Catch obvious patterns
Optimizing existing prevention?
- Review fraud metrics - Know your rates
- Tune risk scoring - Balance fraud vs. friction
- Evaluate vendors - Consider specialized tools
Experiencing a fraud attack?
- Follow the playbook - Emergency response
- Increase friction temporarily - Slow down attackers
- Enable 3DS challenge mode - Maximum authentication
Related Resources
- 3D Secure Guide - Liability shift and authentication
- AVS & CVV - Basic verification checks
- Account Takeover Prevention - ATO patterns
- Fraud Types - Know what you're preventing
- Fraud Detection - Detection methods
- Fraud Metrics - Measuring prevention success
- Compelling Evidence - Fighting friendly fraud
- Chargeback Alerts - Deflect before dispute
- Fraud Vendor Landscape - Third-party tools
- Network Programs - Fraud thresholds
- Processor Rules Configuration - Native fraud tools
- Risk Appetite - Tolerance thresholds