Fraud detection tuning
- Train risk rules with device fingerprints and geo signals
- Log SCA / 3DS challenge outcomes for fine-grained analysis
- Visualize blacklist and score thresholds in dashboards
PCI DSS Advanced
Model high-risk payment flows
with advanced PCI-DSS logs
Augment the standard card log with 3DS challenge results, dispute timelines, device fingerprints, and risk scores so fraud teams can tune rules and operations without touching real cardholder data.
Compliance disclaimer
Advanced PCI samples do not replace formal assessments. Coordinate with your QSA and internal security teams before applying generated data to production workflows.
What advanced logs unlock
Synthetic logs with richer context help fraud, dispute, and monitoring teams rehearse realistic scenarios while keeping sensitive card data out of test environments.
Dispute & chargeback ops
- Recreate chargeback status transitions and deadlines
- Monitor refund rates per MCC or region
- Test representment and refund SLAs end to end
Multi-region compliance
- Track issuer / acquirer country trends
- Generate detailed reason codes for audit evidence
- Verify SOC / PCI reporting formats ahead of reviews
- Locale-driven currency and country codes keep multi-region audit evidence realistic
Sample advanced fields
Alongside the base schema, you can generate logs enriched with the fields below.
| Field | Description | Reference |
|---|---|---|
| merchant_id | Merchant identifier (GUID) | PCI DSS 3.6 Tokenization Guidance |
| issuer_country | Issuer country (ISO 3166-1) | Card brand localization rules |
| auth_method | Authentication method (3DSv2, EMV, FIDO) | PCI DSS 8.x multi-factor controls |
| fraud_score | Risk score (0-999) from your fraud engine | Internal risk scoring |
| dispute_status | Chargeback status (OPEN/CLOSED/RE-PRESENTED) | Card network dispute flows |
| device_fingerprint | Device fingerprint hash | PCI DSS 10.x logging requirements |
Mirror the additionalData fields produced by your 3DS server or fraud SaaS. Extend the schema to match local tokenization or logging policies as needed.
Suggested workflow
1
Define risk metrics
List the scores, challenge outcomes, and device signals you need to monitor and decide alert thresholds.
2
Assemble scenarios
Model friendly fraud, stolen cards, cross-border spikes, and SCA failures with synthetic logs.
3
Document audit trails
Generate dispute/RDR logs and analyst notes so SOC or PCI audits have traceable evidence.
4
Visualize & alert
Feed dashboards and alerting tools to validate reporting, SLA monitoring, and escalation workflows.
Frequently asked questions
Q. Do the samples include detailed 3DS data?
A. Yes—ECI, ACS transaction IDs, and challenge result codes are generated. Add extra fields by extending the JSON Schema.
Q. Can we change the fraud score distribution?
A. You can configure percentile buckets for `fraudScore` to emphasize specific risk bands.
Q. Are network tokens supported?
A. Fields such as `network_token_id` and `token_requestor_id` are provided by default. Adjust masking and length in the schema settings.
Level up PCI-DSS QA with advanced logs
Generate payment logs with 3DS outcomes and dispute history in seconds so fraud, ops, and compliance teams can test together.