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Explores how AI and machine learning transform BGP monitoring, correlating route announcements, path changes, and telemetry to detect leaks, hijacks, and instability in real time. Covers model choices, data quality and RPKI validation, reduction of false positives, and automated mitigations, while noting challenges in explainability and training data. Emphasizes faster incident response and network resilience.