> 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/reconnaissance.md). # Reconnaissance Reconnaissance detections are an essential component of Vectra Fusion's Vectra Detection Models (NDMs) that are designed to identify and alert network administrators to activities associated with scanning and reconnaissance. These detections help identify potential attackers who are seeking information about the network and its infrastructure. For example, the system can detect Port Scanning and Service Enumeration attempts, which indicate an attacker is trying to identify open ports and the services running on them. The detection of OS Fingerprinting attempts can identify an attacker's attempt to learn more about the target operating system and any associated vulnerabilities. By identifying these reconnaissance activities, the system can alert network administrators to the presence of potential threats and enable them to take the necessary steps to mitigate these threats before they escalate into a full-blown attack. --- # 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/reconnaissance.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.