> For the complete documentation index, see [llms.txt](https://docs.scanner.dev/scanner/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.scanner.dev/scanner/using-scanner-complete-feature-reference/beta-features/jupyter-notebooks/scanner-notebooks-on-github.md). # Scanner Notebooks on Github The [**scanner-notebooks**](https://github.com/scanner-inc/scanner-notebooks) Github respository contains a wide range of Jupyter notebooks tailored for security use cases. These notebooks are designed to help users quickly get started with analyzing various security log sources and leverage powerful visualizations. Each notebook is crafted for real-world use cases, making it easier for security teams to detect, investigate, and respond to potential threats efficiently. Use cases highlighted in these notebooks will soon include: * Visualizing network graphs of role assumption for privilege escalation * Unusual API activity * Suspicious cross-account activity * Access from unauthorized or risky locations * Failed security controls changes * Compromised user credentials * And more... The notebooks will soon cover common log sources, such as: * AWS CloudTrail, VPC flow * Cloudflare HTTP, WAF, DNS * Crowdstrike FDR * Windows Sysmon * Okta System * Github Audit * And more... You can start using these notebooks by cloning the [**scanner-notebooks**](https://github.com/scanner-inc/scanner-notebooks) repository on Github and using them in a local Jupyter environment like **JupyterLab Desktop**. --- # 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.scanner.dev/scanner/using-scanner-complete-feature-reference/beta-features/jupyter-notebooks/scanner-notebooks-on-github.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.