What problem does it solve?
Protects online stores from fraudulent orders that lead to chargebacks, lost goods, and dispute fees by combining platform-native risk signals, machine-learning scores, 3D Secure enforcement, velocity checks, and human review workflows.
Core Features & Use Cases
- Platform-native integrations: Guides configuration for Shopify Fraud Analysis, Stripe Radar, Signifyd, NoFraud, and BigCommerce/PayPal/Braintree options.
- Composite risk scoring: Combines Stripe Radar scores with local signals (velocity violations, address mismatches, device fingerprints, email age) to produce auditable risk scores and decisions.
- 3DS & payment handling: Enforces 3D Secure challenges for high-risk transactions and recommends authorize-only (manual capture) flows for orders held for review.
- Velocity checks & Redis: Designs Redis-backed counters and daily spend tracking to block card testing and high-frequency abuse across instances.
- Manual review queue: Details holding orders, notifying fraud teams via Slack, expiring unreviewed orders after 48 hours, and minimizing client-facing leakage of internal rules.
- Operational guidance: KPIs to monitor (false positive rate, chargeback rate), whitelisting strategies, and rule-rotation best practices.
Quick Start
Run a review: analyze recent orders, compute composite risk scores using Stripe Radar plus local signals, require 3DS for scores above 70, and place orders scoring 50–79 into an authorize-only manual review queue.
