> 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/denial-of-service.md). # Denial of Service Denial of Service (DoS) attacks are a significant security risk where threat actors aim to make a network, service, or server unavailable by flooding it with excessive traffic, leading to potential operational disruptions. Vectra Fusion uses Vectra Detection Models (NDMs) to counter these threats effectively. NDMs use a combination of advanced analytics and comprehensive network behavior modeling to identify and flag potential DoS attacks. These detection models use specific, predefined patterns and rules to recognize potential threats, and provide real-time alerts about suspicious activity. By promptly identifying and responding to these alerts, organizations can take the necessary steps to mitigate the attack, ensuring their systems remain accessible and functional. --- # 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/denial-of-service.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.