The 'HTTP RMM User Agent' rule is designed to analyze web logs within a Splunk environment to identify user agents associated with Remote Monitoring and Management (RMM) tools. By employing the Splunk query, it filters web traffic to detect user agents that may be indicative of compromised hosts on the network. The query uses the Web Data Model, ensuring that user agents are categorized and assessed against a list of known RMM tools, allowing analysts to uncover potentially suspicious activity linked to these applications. The implementation necessitates that web or proxy logs are correctly ingested into the Web Data Model within Splunk. Furthermore, to mitigate false positives, particularly in environments where RMM tools are permitted, an additional filtering strategy can be adopted, such as allowing or excluding certain IP ranges. The rule highlights potential risks by integrating with the Risk Data Model to provide contextual information regarding compromised hosts.