Below you will find pages that utilize the taxonomy term “Azure-AI-Security-Challenge”
Blog Postsread more
AI Security Skills Challenge - Week 1: Defender for Cloud Deployment Mastery
Week 1 Overview
This week focused on mastering Microsoft Defender for Cloud deployment through three distinct approaches, building a solid security infrastructure foundation to support AI integration in subsequent weeks. The primary goal was to establish comprehensive deployment expertise while preparing for Week 2’s modern unified security operations platform.
Planned Activities
Deployment Mastery Approaches
- Azure Portal Deployment: Comprehensive learning path with visual interface and detailed explanations
- Modular Infrastructure-as-Code: PowerShell + Bicep templates for controlled automation
- Complete Automation: Enterprise-ready single-command deployment
- Regional Deployment Configuration: East US deployment for complete AI security coverage and Week 2 compliance
Infrastructure Foundation
- Baseline security policies and monitoring configuration
- Defender for Cloud plans enablement across all subscription services
- Virtual machine deployment for testing and validation scenarios
- Just-in-Time (JIT) access policies implementation
- Microsoft Sentinel integration for SIEM capabilities
Documentation and Validation
- Deployment comparison guide with practical recommendations
- Week 2 bridge validation for modern unified security operations readiness
- Automated decommission scripts for lab cleanup
- Learning resources compilation and organization
Key Deliverables
1. Three-Approach Deployment Mastery
Status: [COMPLETE]
Projectsread more
Azure AI Security Skills Challenge
Version: 0.0.2
Author: Marcus Jacobson
License: MIT
Repository: GitHub
Project Status
- Week 0: ✅ COMPLETE
- Week 1: ✅ COMPLETE
- Week 2: Not Started
- Week 3: Not Started
- Week 4: Not Started
- Week 5: Not Started
- Week 6: Not Started
- Week 7: Not Started
- Week 8: Not Started
- Week 9: Not Started
⚠️ Important Project Update: This project has been restructured from a 12-week to a 9-week focused learning path based on lessons learned during Week 1. The new structure provides a more logical progression and realistic time investment for working professionals.