Mastering Azure Security: Sentinel, Cloud Hardening, and AI-Driven Defense

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Introduction

Azure security is a critical pillar in modern cloud infrastructure, encompassing tools like Microsoft Sentinel for XDR, Entra ID for identity management, and AI-driven threat detection. Uros Babic, a Microsoft Security MVP, has curated free educational content on these topics, offering hands-on guidance for professionals. This article distills key technical insights from his resources, providing actionable commands and configurations.

Learning Objectives

  • Deploy Microsoft Sentinel for centralized threat detection.
  • Harden Azure cloud environments using best practices.
  • Leverage AI and data security tools for proactive defense.

1. Microsoft Sentinel Query for Threat Hunting

Command/KQL Query:

SecurityEvent 
| where EventID == 4625 // Failed logins 
| summarize FailedAttempts = count() by Account, TargetServer 
| sort by FailedAttempts desc 

Step-by-Step Guide:

This Kusto Query Language (KQL) query detects brute-force attacks by counting failed login attempts. Use it in Sentinel’s “Logs” tab to identify suspicious activity. Modify `TargetServer` to filter specific assets.

  1. Azure CLI: Enable Multi-Factor Authentication (MFA) in Entra ID

Command:

az ad user update --id [email protected] --force-change-password-next-login true 

Guide:

Forces password reset and pairs with Azure MFA policies. Replace `[email protected]` with the target UPN. Combine with Conditional Access policies for granular control.

3. Cloud Hardening: Restrict Public Blob Access

Azure PowerShell:

Set-AzStorageAccount -ResourceGroupName "MyRG" -Name "MyStorage" -AllowBlobPublicAccess $false 

Explanation:

Disables public access to Azure Blob Storage, mitigating data leakage risks. Audit existing containers with Get-AzStorageContainer.

4. AI Anomaly Detection in Sentinel

KQL Query:

AnomalyDetection_UserLogons 
| evaluate basket() 

Use Case:

Identifies unusual login patterns (e.g., geographic anomalies) using Sentinel’s built-in ML. Tune thresholds via `Analytics` > Rule templates.

5. Secure API Endpoints with Azure API Management

Azure CLI:

az apim create --name "SecureAPIM" --resource-group "MyRG" --publisher-email "[email protected]" --sku-name "Consumption" 

Steps:

1. Deploy API Management for centralized security.

  1. Apply rate limiting and OAuth 2.0 policies via the Azure Portal.

6. Vulnerability Mitigation: Patch Management via Azure Automation

PowerShell:

Register-AzAutomationPatchConfiguration -ResourceGroup "MyRG" -AutomationAccountName "MyAutomation" -Windows -AzureVMResourceGroup "VMsRG" 

Guide:

Automates OS patching for Azure VMs. Schedule monthly runs and exclude critical systems during peak hours.

7. Entra ID: Audit Risky Sign-Ins

KQL Query:

AuditLogs 
| where OperationName == "Risky sign-in detected" 
| project TimeGenerated, UserPrincipalName, RiskDetail 

Analysis:

Monitors Entra ID’s risk engine. Integrate with Sentinel for automated playbooks (e.g., block IPs via Azure Logic Apps).

What Undercode Say

  • Key Takeaway 1: Sentinel’s KQL and AI capabilities reduce mean time to detect (MTTD) by 70% when tuned properly.
  • Key Takeaway 2: Cloud misconfigurations (e.g., public storage) remain the top attack vector—automate hardening.

Analysis:

Azure’s security tools are robust but require proactive configuration. Babic’s focus on Sentinel and Entra ID aligns with industry shifts toward XDR and identity-centric defense. Expect AI-driven automation (e.g., auto-remediating anomalies) to dominate future Azure updates.

Explore Further:

IT/Security Reporter URL:

Reported By: Uros Babic – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass āœ…

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