msticpy
latest
  • Getting Started
    • Introduction
    • Installing
    • Quick Start Overview of MSTICPy
    • Package Summary
    • MSTICPy Package Configuration
    • MSTICPy Settings Editor
    • Why Use Jupyter for Security Investigations?
    • Jupyter, msticpy and Microsoft Sentinel
  • Querying and Importing Data
  • Enriching Data
  • Analyzing Data
  • Displaying/Visualizing Data
  • msticpy API
  • Notebook Examples
  • Articles, Labs and other Resources
  • Releases
  • Contributing
  • License
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Getting Started

  • Introduction
    • Use Cases and Environments
  • Installing
    • Python 3.8 or Later
    • Creating a virtual environment
    • Installation
    • Selective Installation - using “extras”
  • Quick Start Overview of MSTICPy
    • Installing
    • Importing MSTICPy
    • Searching for a MSTICPy module
    • Initializing MSTICPy
    • Setup msticpyconfig.yaml
    • Running a data query
    • Visualizing Data
    • Enriching data with Context and Pivot Functions
    • Analysis and Data Transformation
  • Package Summary
    • Data Acquisition and Queries
    • Data Processing and Enrichment
    • Security Analysis
    • Visualization
    • Utility Functions
    • Supported Platforms and Packages
  • MSTICPy Package Configuration
    • Configuration sections
    • Specifying secrets as Environment Variables
    • Specifying secrets as Key Vault secrets
    • User Defaults Section
    • Extending msticpyconfig.yaml
    • Commented configuration file sample
    • See also
  • MSTICPy Settings Editor
    • Checking your existing settings
    • Edit your msticpyconfig settings
    • Microsoft Sentinel Workspaces
    • How MSTICPy finds msticpyconfig.yaml
    • More Settings
    • Azure Cloud and Authentication Settings
    • Optional Settings
    • Using MpConfigFile to check and manage your msticpyconfig.yaml
  • Why Use Jupyter for Security Investigations?
    • What is Jupyter?
    • Why Jupyter?
    • Why Python?
    • References
  • Jupyter, msticpy and Microsoft Sentinel
    • Running notebooks in Azure Machine Learning (AML)
    • Running notebooks locally
    • Notebook Setup
    • Querying Data
    • Example Notebooks
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