## Abuse Prevention

Stripe Radar offers robust tools to detect and prevent various forms of abuse throughout your user lifecycle, helping to protect your revenue and user experience.

### Key Abuse Prevention Features:

*   **Customer Abuse Evaluation:** Detects suspicious behavior like multi-accounting and account sharing during user registration and login, before any payment is collected. This provides early risk scores to block malicious actors.
*   **Free Trial Abuse Prevention:** Identifies customers likely to exploit free trials without intending to pay. It automatically blocks high-risk trials before they convert to subscriptions by evaluating the provided payment method.
*   **Pay-as-you-go Abuse Evaluation:** Helps identify subscription customers who are unlikely to pay their next invoice, particularly useful for post-paid billing models. This allows for proactive measures like limiting usage or issuing early invoices.
*   **Bot Abuse Prevention:** Detects payments likely made by automated scripts or bots. You can use the assigned bot score to enforce anti-bot policies and block suspicious transactions.

### How Abuse Prevention Works:

Stripe Radar leverages AI and machine learning models to analyze user behavior and transaction patterns. By integrating with Stripe's APIs and tools, you can gain insights into potential abuse and implement automated responses.

### Getting Started:

*   **Integrate with Stripe APIs:** Utilize the provided APIs to capture device metadata, create customer evaluations, and report outcomes.
*   **Configure Risk Controls:** Set up rules and risk settings within the Stripe Dashboard to automatically manage or review suspicious activities.
*   **Utilize Radar for Fraud Teams:** For advanced customization, Radar for Fraud Teams allows you to create tailored rules and gain deeper insights into abuse patterns.

By proactively addressing abuse, you can safeguard your business from financial losses and maintain a secure platform for legitimate users.