This detection rule leverages machine learning to identify significant spikes in network traffic directed towards a specific country. It aims to uncover potentially malicious activities such as reconnaissance efforts, data exfiltration, or communications with Command-and-Control (C2) servers. By monitoring network logs for unusual patterns, the rule can alert security teams to investigate potential threats arising from unexpected destination traffic. False positives may occur due to legitimate business activities or new workflows, necessitating thorough analysis and understanding of the context around each alert. The rule requires integration with machine learning job configurations and network traffic data from systems such as Elastic Defend or Network Packet Capture for effective operation. Organizations should implement this rule as part of a comprehensive strategy for detecting and mitigating advanced persistent threats or data breaches.