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An overview of AI-powered anti-cheat monitoring that protects games, exams, and online platforms by analyzing behavior patterns and device/network signals to detect anomalies. It details model training, real-time alerts, and human-in-the-loop review to reduce false positives, and addresses ethics: privacy, consent, transparency, and bias. The piece stresses adaptive defenses to outpace evolving cheat techniques.