You need to visualize Azure Sentinel data and enrich the data by using third-party data sources to identify indicators of compromise (IoC). What should you use?
The Azure portal and all Azure Sentinel tools use a common API to access this data store.
The same API is also available for external tools such as Jupyter notebooks and Python. While many common tasks can be carried out in the portal, Jupyter extends the scope of what you can do with this data. It combines full programmability with a huge collection of libraries for machine learning, visualization, and data analysis. These attributes make Jupyter a compelling tool for security investigation and hunting.
Thus Correct Answer.
A. notebooks in Azure Sentinel
To visualize Azure Sentinel data and enrich it by using third-party data sources to identify indicators of compromise (IoC), you can use notebooks in Azure Sentinel.
Notebooks in Azure Sentinel are interactive documents that allow you to run queries, create visualizations, and perform data analysis on your Azure Sentinel data. They also allow you to connect to other data sources, such as third-party threat intelligence feeds, to enrich the data and identify indicators of compromise (IoCs).
Once you have connected to the third-party data source, you can use Azure Sentinel notebook to blend the data, and create visualizations, and perform data analysis to identify the potential attack.
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