> For the complete documentation index, see [llms.txt](https://help.nightfall.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.nightfall.ai/microsoft-365/getting_started.md). # Getting Started Learn the basics of Nightfall DLP for Microsoft 365 Nightfall DLP for Microsoft 365 (M365) offers a cloud-native data leak protection solution that monitors presence of sensitive data across the following M365 services - Exchange Online, Sharepoint Online, OneDrive for Business, and MS Teams. Nightfall DLP for M365 provides a seamless approach to monitor User OneDrives, Teams Channels and Teams Chats. Nightfall DLP scans messages in Team channels / chats and scans files in user's OneDrives. Further, Nightfall also allows notifications to be sent to the Nightfall administrators and M365 users and enables them to take followup steps in alignment with the organization's requirements. The following steps need to be completed to enable Nightfall DLP workflows for OneDrive for Business and MS Teams, 1. Setup of directory sync, and 2. Registration of the M365 endpoint with Nightfall --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://help.nightfall.ai/microsoft-365/getting_started.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.