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Explores how AI augments API gateway monitoring by fusing metrics, logs, and traces to detect anomalies, reduce alert fatigue, and speed root-cause analysis. Covers predictive autoscaling, SLO/SLA tracking, and threat detection for abuse and drift. Outlines architectures, AIOps workflows, and guardrails - data privacy, model governance, and feedback loops - plus rollout best practices and ROI/KPI measurement.