> 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-xpanse-expander-rn/expander-release-information.md). # Cortex Xpanse Expander Release Information Cortex Xpanse Expander is a cloud-based attack surface management solution that helps organizations find and fix their known and unknown internet-connected risks. Expander performs automated, continuous scans to index the entire internet and discover all connected assets, misconfigurations, and exposed services. Expander's supervised machine-learning model accurately attributes assets to your organization, identifies exposures, and prioritizes these exposures for remediation. With the Cortex Xpanse Active Response add-on module, AI-powered playbooks automatically identify service owners and remediate exposures. The topics in this release note describe the new features and enhancements introduced in Cortex Xpanse Expander. --- # 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-xpanse-expander-rn/expander-release-information.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.