What problem does it solve?
Fraud prevention in SFCC is a cross-cutting concern requiring layered, pragmatic controls that balance risk reduction with a smooth customer experience. This guide translates threat taxonomy into actionable developer tasks, signals to observe, and guardrails to implement across the storefront and back-end.
Core Features & Use Cases
- Layered edge controls: block obvious bot traffic at the edge and rate-limit sensitive endpoints before requests reach app logic.
- Platform + processor checks: enable AVS/CVV checks and friction only when risk is elevated, to minimize user friction.
- Server-side scoring: compute a numeric risk score (0–100) from signals and enforce thresholds to block, challenge, or allow transactions.
- Use Case: Apply these techniques to protect login, checkout, and order processing from credential stuffing, bot-driven carting, and abuse.
Quick Start
Install and configure the layered fraud prevention framework in your SFCC project to start detecting and blocking suspicious activity.