Fraud Prevention
TL;DR
- Prevention works in layers: authentication, verification, then monitoring
- 3D Secure is the only layer that shifts fraud liability to the issuer. Everything else just informs your own decision
- AVS and CVV are free and worth switching on. Neither shifts liability, and neither should hard-decline on its own
- Use what your processor already gives you before you buy anything
You're trying to stop fraud without blocking real customers. It's layers. Authenticate, verify, then watch. Nothing here works on its own.
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
It's the strongest CNP tool you've got:
- 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 |
|---|---|
| 3DS liability shift | Highest (details) |
| CE 3.0 evidence collection | High |
| Clear descriptors | High |
| Order confirmations | High |
| Delivery confirmation | High |
| Pre-billing alerts | High |
The full strategy's in defending against fraud losses.
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 | 70-85%+ | Frictionless auth / Total 3DS |
| Review rate | under 5% | Orders needing manual review |
Vendor Landscape
Third-party tools are in fraud vendors.
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
- Defending Against Fraud Losses - 3DS, CE 3.0, and evidence collection for friendly fraud
- Chargeback Guarantees - Should you buy fraud protection?
- 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