Lilly Tech Systems
AI Agent Azure Guardrails
Prevent AI coding agents like Claude Code, GitHub Copilot, and Codex from accidentally deleting or destroying your Azure resources. Learn Azure-specific security guardrails including RBAC, resource locks, Azure Policy, monitoring, backup strategies, and best practices to keep your cloud infrastructure safe.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
Azure's unique risk surface when AI agents use Azure CLI or Terraform. Real scenarios, Azure Resource Manager, and the protection ecosystem.
2. RBAC & Custom Roles
Azure RBAC fundamentals, custom roles that exclude destructive actions, Managed Identities, Conditional Access, and PIM for just-in-time access.
3. Resource Locks
CanNotDelete and ReadOnly locks, lock inheritance and scope, Azure CLI and Terraform examples, and automation for applying locks to new resources.
4. Azure Policy
Built-in and custom policy definitions, policy initiatives for AI agent safety, remediation tasks, and compliance monitoring.
5. Monitoring & Alerts
Activity Log alerts, Azure Monitor action groups, Log Analytics with KQL queries, Microsoft Defender for Cloud, and dashboards.
6. Backup & Recovery
Azure Backup, soft delete for vaults, Azure Site Recovery, blob versioning, SQL point-in-time restore, and recovery procedures.
7. Best Practices
Complete Azure guardrails checklist, management group hierarchy, Landing Zones, Blueprints, emergency procedures, and FAQ.
What You'll Learn
By the end of this course, you'll be able to:
Lock Down Agent Permissions
Design Azure RBAC custom roles and Managed Identities that let AI agents provision resources but prevent them from deleting critical infrastructure.
Protect Azure Resources
Enable resource locks, Azure Policy guardrails, and soft delete across your Azure subscriptions to create safety nets against accidental destruction.
Monitor Agent Activity
Set up Activity Log alerts, Azure Monitor dashboards, and KQL queries to detect and respond to dangerous agent behavior in real time.
Recover from Incidents
Implement Azure Backup, Site Recovery, and soft delete strategies so you can quickly recover even when an AI agent causes accidental resource deletion.