Introduction

In the evolving landscape of digital transformation, cloud computing plays a vital role in how organizations manage data, applications, and infrastructure. With the increased adoption of Microsoft Azure, security incidents and cyber threats targeting cloud assets have surged. Training Course on Cloud Forensics for Azure Environments equips IT professionals, cybersecurity analysts, and digital forensic investigators with in-demand skills to identify, collect, preserve, and analyze digital evidence within Azure ecosystems. The course offers hands-on techniques using Microsoft tools and best practices tailored for Azure.

As cyberattacks grow in sophistication, understanding cloud-native forensic techniques, log analytics, and threat intelligence integration in Azure is critical. This course bridges the gap between traditional forensic practices and cloud-based environments, with a special focus on compliance, legal frameworks, and incident response. Through real-world case studies, guided labs, and modular learning, participants will emerge with practical skills essential to securing cloud assets and performing accurate forensic investigations in Microsoft Azure environments.

Programme Curriculum

Training Course on Cloud Forensics for Azure Environments

Introduction

Course Objectives

Understand core principles of cloud forensics in Azure environments.
Master Azure Security Center and Microsoft Defender for Cloud tools.
Conduct incident response using Azure-native services.
Perform forensic imaging and data acquisition from virtual machines.
Analyze and interpret Azure Activity Logs, Log Analytics, and Kusto Query Language (KQL).
Identify and collect chain-of-custody-compliant evidence in the cloud.
Integrate threat intelligence for forensic investigations.
Use automation in evidence gathering with Azure Logic Apps and Playbooks.
Assess compliance with GDPR, HIPAA, and other regulatory standards.
Deploy Azure Sentinel for threat detection and forensic analysis.
Explore forensics in multi-tenant and hybrid cloud environments.
Mitigate insider threats and ensure data sovereignty and integrity.
Apply machine learning tools for predictive forensics in cloud incidents.

Target Audiences:

Cybersecurity Analysts
Incident Responders
Cloud Security Engineers
Digital Forensic Investigators
Azure Administrators
IT Compliance Officers
Penetration Testers
Risk and Governance Professionals

Course Duration: 5 days

Course Modules

Module 1: Introduction to Cloud Forensics in Azure

Fundamentals of cloud computing and Azure architecture
Differences between on-prem and cloud forensics
Azure's Shared Responsibility Model
Legal and compliance considerations
Data volatility in the cloud
Case Study: Investigating a Suspicious Login in Azure Active Directory

Module 2: Azure Logging and Monitoring for Forensics

Understanding Azure Activity Logs and Diagnostic Logs
Azure Monitor and Log Analytics Workspaces
Creating alerts and data retention policies
Introduction to Kusto Query Language (KQL)
Forensic value of telemetry data
Case Study: Tracing a Privilege Escalation Attack Using Logs

Module 3: Evidence Acquisition from Azure Virtual Machines

VM snapshotting and disk acquisition
Memory forensics in Azure environments
Use of Azure Automation and Logic Apps for evidence collection
Chain-of-custody procedures in cloud environments
Exporting forensic images to secure storage
Case Study: Memory Dump Analysis of a Compromised Azure VM

Module 4: Azure Sentinel and Threat Detection

Overview of Azure Sentinel SIEM
Setting up workbooks and analytic rules
Leveraging MITRE ATT&CK framework
Using built-in threat intelligence connectors
Creating incident response playbooks
Case Study: Automated Threat Detection of Ransomware in Azure

Module 5: Compliance and Legal Considerations

Overview of GDPR, HIPAA, CCPA compliance in Azure
Managing audit logs and regulatory requirements
Legal hold and eDiscovery in cloud
Jurisdiction and cross-border data concerns
Role of compliance in forensic readiness
Case Study: Handling a Legal Discovery Request for Cloud Logs

Module 6: Insider Threats and Data Breaches

Common insider threat patterns in cloud environments
Behavioral analysis and anomaly detection
Limiting data exposure and data exfiltration detection
Zero Trust implementation in Azure
Real-time alerting and risk mitigation
Case Study: Insider Leak of Sensitive Files from OneDrive

Module 7: Advanced Forensic Tools and Automation

Using PowerShell and CLI for automation
Azure Logic Apps and Functions in investigations
Machine learning for predictive forensics
Automation in evidence collection and triage
Integrating forensic workflows with DevSecOps
Case Study: Automated Workflow to Capture Evidence During an Attack

Module 8: Final Capstone and Live Forensic Simulation

Live simulation of a breach in Azure
Step-by-step incident response and investigation
Collaborative team analysis and decision making
Report writing and presenting forensic findings
Debrief and lessons learned
Case Study: Full End-to-End Cloud Forensics Exercise in Azure

Training Methodology

Instructor-led interactive sessions with certified Azure security experts
Hands-on lab exercises using Azure Sandbox environments
Real-world case studies and scenario-based simulations
Group-based collaborative forensic exercises
Quizzes, assignments, and final capstone assessment

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Azure forensic tools cloud investigation platforms

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000