The rule named 'Anomalous Linux Compiler Activity' is designed to identify unexpected compilation activity performed by users who are not typically engaged in programming tasks. This anomaly can suggest unauthorized software modifications or local privilege escalation, potentially indicating exploit attempts or malicious code deployment. Using machine learning, the rule analyzes user behaviors over a specified interval, specifically looking for patterns deviating from established norms. When this sort of irregularity is detected, it generates alerts to help security teams investigate further. False positives may arise due to legitimate activities, such as developers troubleshooting or deploying software in production environments.