6.2.6 AI for Fraud Detection and Cheating Prevention

The AI layer monitors player behavior to detect anomalies that may indicate cheating or fraudulent activities.

• Anomaly Detection AI models analyze game data and player interactions to look for patterns that deviate from normal behavior. If a player is flagged for suspicious activities (e.g., rapid asset accumulation or irregular transaction patterns), AI will issue a warning to the system or directly interact with smart contracts to enforce penalties.

• Real-Time Fraud Prevention By integrating real-time data analysis, the AI layer can detect fraud before it impacts the ecosystem. AI communicates directly with smart contracts to take corrective actions, such as freezing assets or issuing warnings to players.