> For the complete documentation index, see [llms.txt](https://docs.fusion.vectra.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fusion.vectra.ai/detection-models/library/operational-governance/messaging_rocket-chat.md). # messaging\_rocket-chat **Explanation** The messaging\_rocket-chat NDM monitors the network for the presence of the messaging application Rocket Chat. Rocket Chat is an open source messaging platform that allows for encrypted and secure communication among team members. **What to Look For** If the messaging\_rocket-chat NDM is triggered, it means that there may be unauthorized or potentially malicious use of the Rocket Chat application on the network. To examine the results of this event, check network traffic logs and examine endpoint devices for the presence of the Rocket Chat application. Reviewing user activity within Rocket Chat can also provide insight into potentially malicious behavior. Remediation may involve blocking access to the application or restricting user access permissions. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.fusion.vectra.ai/detection-models/library/operational-governance/messaging_rocket-chat.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.