How Blocklists Prevent Repeat Fraud: Managing Blocked Users

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

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Blocklists serve as a crucial tool in fraud prevention by maintaining databases of users, faces, or documents identified as fraudulent or high-risk, thereby proactively preventing future fraudulent activities. Didit offers an AI-native platform that integrates blocklist functionality with identity verification and face search capabilities, providing a comprehensive defense against fraud. By implementing a strategic blocklist approach, including data collection, validation, real-time monitoring, and regular audits, organizations can effectively prevent known fraudsters from accessing their platforms. AI and automation further streamline blocklist management, allowing for seamless integration with other security systems and enhancing the ability to detect and block suspicious activities. Didit's modular architecture, free core KYC features, and customizable thresholds for face matching make it a versatile solution for managing blocklists without incurring setup fees, ensuring a balance between identifying fraudsters and minimizing false positives.

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