On-Chain Anti-Fraud

We implemented a real-time fraud detection system using a custom Solana Geyser plugin coupled with a dedicated Rust-based analyzer service. The Geyser plugin continuously pulls live transaction data directly from the Solana validator node and parses it into a structured format. These parsed transactions are streamed to the analyzer, which applies behavioral rules and heuristics to evaluate each user’s activity. By inspecting factors such as response time consistency, signature patterns, and frequency anomalies, the system classifies players into two categories: legitimate users and potentially fraudulent actors. This architecture allows the application to maintain fairness and trust by automatically flagging or excluding users who exhibit bot-like behavior, all without interrupting the on-chain game logic.