This detection rule utilizes machine learning to identify rare destination countries in network traffic logs, which may indicate potentially malicious activities such as unauthorized access, persistence, or data exfiltration. Instances where users interact with phishing emails or open malicious documents could generate requests for payload downloads from uncommonly seen countries in business workflows. The machine learning job monitors network logs over a specified time range, triggering alerts whenever it detects unusual traffic patterns associated with atypical destination countries. False positives can occur when legitimate business activities arise in these countries or due to business travel, but the machine learning model will adapt over time as new patterns are established. Proper setup of machine learning jobs and integrations like Elastic Defend or Network Packet Capture is crucial for the rule's effectiveness. Comprehensive investigation and response procedures are also outlined to mitigate false positives and properly address real security threats.