Azure ML Threat Hunting Setup

A complete guide for setting up scalable threat hunting environments in Azure ML Studio for teams that are not heavy programmers.

Quick Start

1. Setup Azure ML Workspace → Setup Guide
2. Onboard Team Members → Onboarding Guide
3. Manage Costs → Cost Management Guide

Why Azure ML Studio?

✅ Zero local setup - Works from any browser
✅ Instant collaboration - Share notebooks immediately
✅ Cost effective - Pay only when running
✅ Secure - Enterprise-grade security
✅ Scalable - Add team members easily

Project Structure

azure-ml-threat-hunting-setup/
├── docs/
│   ├── Azure-ML-Setup-Guide.md          # Initial workspace setup
│   ├── Team-Onboarding-Guide.md         # New team member guide
│   └── Cost-Management-Guide.md         # Cost optimization
├── scripts/
│   └── (automation scripts - future)
├── templates/
│   └── (notebook templates - future)
└── README.md

Benefits for Non-Programmer Teams

• Click-to-launch Jupyter notebooks
• Pre-configured threat hunting environment
• Shared workspace for team collaboration
• Version control built-in
• Cost management with auto-shutdown
• Enterprise security and compliance

Next Steps

1. Follow the Azure ML Setup Guide
2. Use the Team Onboarding Guide for new members
3. Review Cost Management Guide for optimization

Support

For questions or issues:

• Check the documentation in /docs
• Review Azure ML Studio documentation
• Contact your Azure administrator

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Focus on threat hunting, not managing Python environments!