Fraud Protection Lite
Fraud Protection Lite (FPL) is a self-service, machine learning–based fraud solution designed for small to mid-sized merchants. Like Fraud Protection Advanced (FPA), it evaluates each transaction using a machine learning model to generate a risk score and applies a customizable set of filters to approve or reject transactions based on risk. FPL provides a streamlined set of essential fraud management tools, offering a subset of FPA's advanced features, while prioritizing ease of use and cost efficiency. It includes ready-to-use filter configurations to enable fast and seamless merchant self-onboarding.
Feature Comparison: Fraud Protection (FP) vs Fraud Protection Lite (FPL) vs Fraud Protection Advanced (FPA)
| Capability | Fraud Protection | Fraud Protection Lite | Fraud Protection Advanced |
|---|---|---|---|
| New integration | No | No | No |
| Machine learning based risk score | Yes | Yes | Yes |
| Auto decisioning | Yes | Yes | Yes |
| Extensive PayPal Intelligence | Yes | Yes | Yes |
| Device Fingerprinting | Yes | Yes | Yes |
| Analytical Dashboard | Yes | Yes | Yes |
| Blocklists | Limited | Limited | Yes |
| Fraud Rules (Filters) | Default | Customizable | Customizable |
| Filter testing / historical simulation | Yes | Yes | Yes |
| In-App Notifications | Yes | Yes | Yes |
| Help | Yes | Yes | Yes |
| Integration Health Dashboard | -- | Yes | Yes |
| Filter Portability | -- | Yes | Yes |
| Transaction History | -- | Yes | Yes |
| Transaction Search | -- | Yes | Yes |
| Transaction Single Case View | -- | Yes | Yes |
| Activity Log | -- | Yes | Yes |
| Allow List | -- | -- | Yes |
| Review list | -- | -- | Yes |
| Manual Review Flow | -- | -- | Yes |
| Case Management | -- | -- | Yes |
| A/B Testing | -- | -- | Yes |
| Standard Reports | -- | -- | Yes |
| Custom Reports - Aggregate | -- | -- | Yes |
| Custom Reports - Transaction | -- | -- | Yes |
| Scheduled Reports | -- | -- | Yes |
| Custom Fields | -- | -- | Yes |
Note
Access to Fraud Protection Lite (FPL) is limited to users located in the United State.