> 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/attack.md). # Attack Attack detections within Vectra Fusion's Vectra Detection Models (NDMs) are designed to identify and alert network administrators to attempts to break into their networks remotely. These detections look for suspicious patterns of network activity coming inbound from the Internet, including, in some cases, activity that is coming from IP addresses with bad reputations. Although scanning, brute force, and other malicious activity is quite common on the Internet, the NDMs in the attack category detect patterns of activity that may be of greater concern, such as interactive login sessions. By promptly identifying these indicators, the NDMs allow network administrators to take immediate action, mitigating further damage and initiating incident response procedures if necessary. --- # 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/attack.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.