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You can also learn how to use Adyen's fraud and dispute management tools in an upcoming risk webinar.
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You can detect, monitor, and mitigate fraud using Protect, Adyen's risk management system.
Each payment goes through a risk evaluation. The risk evaluation reaches a decision that results in an action to block, allow, or review the transaction. This outcome is based on the risk settings on your account, the risk profile, and the risk rules on that profile.
Next to Protect, the risk management documentation also contains guidance to monitor and manage disputes.
Risk engine
Protect, Adyen's risk engine, is enabled by default. You can enable premium features in the risk settings to get access to more functionality to help you further set up risk to fit your company's needs. When you configure risk management for the first time, a default risk profile is available to help you get started.
What risk functionality is included for you to configure and use in your risk setup depends on whether you use the basic risk engine, or have enabled premium features.
| Basic | Premium |
|---|---|
| Block bot attacks | Block bot attacks |
| Adyen-provided risk lists | Adyen-provided risk lists and custom lists |
| Adyen-provided post-authorization rules | Adyen-provided post-authorization rules |
| Dynamic 3D Secure | Dynamic 3D Secure in combination with custom rules and risk-based authentication |
| Risk & dispute management dashboard | Risk & dispute management dashboard |
| Machine learning powered fraud detection using global transaction data | |
| Create, backtest, and label custom rules with a rule builder interface | |
| Risk profile and rule analytics | |
| Run risk experiments | |
| Case management |
Data quality
Protect is part of Adyen Uplift. To ensure you get the most benefit from Adyen Uplift, we recommend that you send in as much high quality data as possible in your payment requests, and that you review the recommended and required integration options. By doing this, you unlock optimizations, insights, and recommendations that will help improve the risk evaluation, decrease cost, and increase conversion.
Sending in high quality data in your payment requests ensures that Protect's machine learning models can better recognize fraudulent as well as legitimate transactions. For example, the models can detect recent fraud on a shopper's email address or recognize a good shopper because of a recent in-person payment on a card on the Adyen platform.
Get started
Configure risk settings for your company, and then set up risk profiles with risk rules to fine-tune risk management for your business. Configuring risk settings and at least one risk profile is always needed, whether you have enabled premium features or not.
Customize Protect premium profiles
When you enable premium features, you can add and backtest custom rules to complement the fraud risk evaluation. You also get access to the Machine learning: fraud risk rule.
Analytics
Gather data to pinpoint potential improvements or monitor and find trends.
Extra risk management
Further increase protection against fraud by using optional risk features like case management and dynamic 3D Secure.
Disputes and chargebacks
Handle disputes and chargebacks. You can use the Customer Area, or handle the process using the Disputes API.