> 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_sinch.md). # messaging\_sinch **Explanation** The messaging\_sinch NDM is designed to detect the presence of the Sinch messaging application on a network. Sinch is a cloud-based communications platform that allows developers to integrate messaging and voice capabilities into their applications. **What to Look For** When analyzing the results of this NDM, look for traffic patterns that correspond to Sinch usage. This includes HTTP requests to the Sinch API, as well as traffic between endpoints and Sinch servers. If Sinch is being used in an unauthorized or suspicious manner, it could indicate a security breach or policy violation. It is important to investigate any alerts generated by this NDM to ensure the security of your network. --- # 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_sinch.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.