Cloud Incident Response and Forensics Fundamentals
( 25 Modules )

Module #1
Introduction to Cloud Incident Response and Forensics
Overview of cloud computing, incident response, and digital forensics principles, and the importance of cloud incident response and forensics in modern organizations.

Module #2
Cloud Computing Fundamentals
Cloud service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid), and cloud security considerations.

Module #3
Cloud Incident Response Methodologies
Overview of incident response methodologies (NIST, SANS, ISO 27001), and their application in cloud environments.

Module #4
Cloud Incident Response Team Structure
Roles and responsibilities of incident response team members, and how to build an effective incident response team in a cloud environment.

Module #5
Cloud Incident Detection and Identification
Techniques and tools for detecting and identifying cloud security incidents, including log analysis, monitoring, and threat intelligence.

Module #6
Cloud Incident Containment and Eradication
Strategies for containing and eradicating cloud security incidents, including isolation, segmentation, and malware removal.

Module #7
Cloud Incident Recovery and Post-Incident Activities
Recovery strategies for cloud security incidents, including data restoration, system rebuilding, and post-incident activities such as lessons learned and reporting.

Module #8
Cloud Forensics Fundamentals
Introduction to digital forensics principles, and their application in cloud environments, including data collection, preservation, and analysis.

Module #9
Cloud Forensic Analysis Techniques
Cloud forensic analysis techniques, including memory forensics, network forensics, and storage forensics.

Module #10
Cloud Incident Response Tools and Technologies
Overview of cloud incident response tools and technologies, including security information and event management (SIEM) systems, incident response platforms, and forensic analysis tools.

Module #11
Cloud Native Application Security
Security considerations for cloud-native applications, including microservices, containers, and serverless functions.

Module #12
IaaS Security Considerations
Security considerations for Infrastructure as a Service (IaaS) providers, including AWS, Azure, and Google Cloud Platform.

Module #13
PaaS Security Considerations
Security considerations for Platform as a Service (PaaS) providers, including Heroku, Google App Engine, and Azure App Service.

Module #14
SaaS Security Considerations
Security considerations for Software as a Service (SaaS) providers, including Office 365, Salesforce, and Google Workspace.

Module #15
Cloud Storage Forensics
Forensic analysis of cloud storage services, including Amazon S3, Azure Blob Storage, and Google Cloud Storage.

Module #16
Cloud Network Forensics
Forensic analysis of cloud network traffic, including capture, analysis, and reconstruction of network data.

Module #17
Cloud Database Forensics
Forensic analysis of cloud database services, including Amazon RDS, Azure Database Services, and Google Cloud SQL.

Module #18
Cloud API Forensics
Forensic analysis of cloud API traffic, including API logs, authentication, and authorization.

Module #19
Legal and Ethical Considerations in Cloud Incident Response and Forensics
Legal and ethical considerations for cloud incident response and forensics, including data privacy, jurisdictional issues, and chain of custody.

Module #20
Cloud Incident Response and Forensics for Compliance and Governance
How cloud incident response and forensics can support compliance and governance requirements, including HIPAA, PCI-DSS, and GDPR.

Module #21
Cloud Incident Response and Forensics in the Real World
Case studies and real-world examples of cloud incident response and forensics, including lessons learned and best practices.

Module #22
Cloud Incident Response and Forensics Tools Lab
Hands-on lab exercises using cloud incident response and forensics tools and technologies.

Module #23
Cloud Incident Response and Forensics Scenario-Based Exercise
Scenario-based exercise simulating a cloud security incident, requiring students to apply cloud incident response and forensics principles and techniques.

Module #24
Cloud Incident Response and Forensics Best Practices and Emerging Trends
Best practices and emerging trends in cloud incident response and forensics, including artificial intelligence, machine learning, and automation.

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Cloud Incident Response and Forensics Fundamentals career

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Cloud Incident Response and Forensics Fundamentals ( 25 Modules )

Cloud Incident Response and Forensics Fundamentals
( 25 Modules )