> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/cortex-xsiam/detect-investigate-and-respond-to-threats/threat-management/analytics/analytics-overview.md). # Analytics overview Analytics uses the Analytics engine, sensors, and rules to keep your network safe. Safeguarding your network requires a defense-in-depth strategy which utilizes current and patched software and hardware to keep unwanted users out of the network. Most available strategies are designed to stop intrusion attempts at the network perimeter, defending only against known threats. For example, systems scanning for malicious software rely on previously identified MD5 signature databases. However, attackers constantly modify virus signatures to circumvent virus scanners. Your network defense-in-depth strategy must include software and processes designed to detect and respond to intruders that may have already penetrated your systems. Cortex XSIAM efficiently and automatically identifies abnormal activity on your network, while providing you with the exact information you need to rapidly evaluate, isolate and remove potential threats. --- # 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://cortex-docs.paloaltonetworks.com/cortex-xsiam/detect-investigate-and-respond-to-threats/threat-management/analytics/analytics-overview.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.