Depending on the function being performed, the code in the cell may run very quickly, or it may take a few seconds to complete. Run each cell by selecting the play button to the left of each cell. Skipping cells or running them out of order may cause errors later in the notebook. Code cells contain executable code that perform the notebook functions.Markdown cells contain text and graphics with instructions for using the notebook.Select Launch notebook to run the notebook. In Microsoft Sentinel, select Notebooks from the left.įrom the Templates tab, select A Getting Started Guide For Microsoft Sentinel ML Notebooks > Save notebook to save it to your Azure ML workspace. This procedure describes how to launch your notebook and initialize MSTICpy. Run and initialize the Getting Started Guide notebook If you don’t want to set up an Azure Key Vault right now, sign up for and use a free account until you can set up Key Vault storage. For more information, see Specify secrets as Key Vault secrets in the MSTICPY documentation. If you're using a VT enterprise key, store it in Azure Key Vault instead of the msticpyconfig.yaml file. If you're already a VirusTotal user, you can use your existing key. You can sign up for a free VT account at the VirusTotal getting started page. To use VirusTotal threat intelligence lookup, you'll need a VirusTotal account and API key. This notebook uses VirusTotal (VT) as a threat intelligence source. You can sign up for a free account and key at the Maxmind signup page. To use the MaxMind GeoLite2 service, you'll need an account key. This notebook uses the MaxMind GeoLite2 geolocation lookup service for IP addresses. In Azure ML you can use either a Python 3.8 kernel (recommended) or a Python 3.6 kernel. To perform the steps in this article, you'll need Python 3.6 or later. For more information, see Manage access to Microsoft Sentinel notebooks. To use notebooks in Microsoft Sentinel, make sure that you have the required permissions. Notebooks that do not use MSTICpy do not need the MSTICPy configuration described in this article. Several Microsoft Sentinel notebooks do not use MSTICPy, such as the Credential Scanner notebooks, or the PowerShell and C# examples. You can also use this article as guidance for performing similar steps to run notebooks in other environments, including locally.įor more information, see Use notebooks to power investigations and Use Jupyter notebooks to hunt for security threats. The steps in this article describe how to run the Getting Started Guide for Microsoft Sentinel ML Notebooks notebook in your Azure ML workspace via Microsoft Sentinel. Advanced analyses, such as time series decomposition, anomaly detection, and clustering.Visualization tools using event timelines, process trees, and geo mapping.Enrichment functions like geolocation of IP addresses, Indicator of Compromise (IoC) extraction, and WhoIs lookups.Threat intelligence lookups with TI providers, such as VirusTotal and AlienVault OTX.Data query capabilities, against Microsoft Sentinel tables, Microsoft Defender for Endpoint, Splunk, and other data sources.MSTICPy reduces the amount of code that customers need to write for Microsoft Sentinel, and provides: The Getting Started Guide for Microsoft Sentinel ML Notebooks notebook uses MSTICPy, a Python library of Cybersecurity tools built by Microsoft, which provides threat hunting and investigation functionality. This article describes how to run the Getting Started Guide For Microsoft Sentinel ML Notebooks notebook, which sets up basic configurations for running Jupyter notebooks in Microsoft Sentinel and running simple data queries.
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