Description

Introduction

This training is designed to teach participants how to architect secure cloud solutions using the three leading cloud platforms: AWS, Azure, and Google Cloud. It focuses on designing and implementing security best practices across these platforms to protect data, applications, and infrastructure. Participants will learn the security services, tools, and configurations unique to each platform and how to integrate them to build robust cloud architectures. By the end of the training, participants will be able to design secure, scalable, and compliant cloud architectures in AWS, Azure, and Google Cloud.

Prerequisites

To benefit from this training, participants should have:

1. A working knowledge of cloud computing fundamentals.
2. Basic experience with at least one of the three cloud platforms (AWS, Azure, or Google Cloud).
3. Familiarity with network security concepts and best practices.
4. Some understanding of identity management, encryption, and cloud governance.

Table of Contents

1st Session: Introduction to Cloud Security Architecture

1. Overview of Cloud Architecture Principles
2. Security Implications in Cloud Design
3. Shared Responsibility Model for AWS, Azure, and Google Cloud
4. Understanding Cloud Service Models: IaaS, PaaS, SaaS
5. Security Challenges in Multi-Cloud and Hybrid Cloud Architectures

2nd Session: Identity and Access Management (IAM) Across AWS, Azure, and Google Cloud

1. Overview of IAM Services in AWS (IAM), Azure (Azure AD), and Google Cloud (IAM)
2. Implementing Role-Based Access Control (RBAC) and Least Privilege Principles
3. Multi-Factor Authentication (MFA) and Identity Federation
4. Securing Admin and Privileged Accounts
5. Best Practices for Identity and Access Management in Multi-Cloud Environments

3rd Session: Securing Cloud Networks

1. Configuring Virtual Networks: VPCs (AWS), VNets (Azure), VPC Networks (Google Cloud)
2. Implementing Firewalls, Security Groups, and Network Access Control Lists (NACLs)
3. Securing Cloud API Gateways and Endpoints
4. Advanced Cloud Network Security Features: VPNs, Direct Connect, and Peering
5. Best Practices for Network Security Across AWS, Azure, and Google Cloud

4th Session: Data Security and Encryption in the Cloud

1. Understanding Data Encryption at Rest and in Transit
2. Managing Encryption Keys: AWS KMS, Azure Key Vault, and Google Cloud KMS
3. Securing Databases and Storage: S3 Buckets (AWS), Blob Storage (Azure), Cloud Storage (Google Cloud)
4. Data Loss Prevention (DLP) Strategies for Cloud Environments
5. Best Practices for Protecting Sensitive Data in Multi-Cloud Architectures

5th Session: Securing Compute Resources and Workloads

1. Securing Virtual Machines (EC2, Azure VMs, Google Compute Engine)
2. Implementing Security for Containers: AWS ECS/EKS, Azure AKS, Google GKE
3. Securing Serverless Architectures: AWS Lambda, Azure Functions, Google Cloud Functions
4. Workload Isolation and Segmentation Strategies
5. Best Practices for Securing Compute Resources in Cloud Architectures

6th Session: Monitoring, Logging, and Threat Detection

1. Setting Up Logging and Monitoring in AWS CloudTrail, Azure Monitor, and Google Cloud Logging
2. Implementing Threat Detection Tools: AWS GuardDuty, Azure Security Center, Google Cloud Security Command Center
3. Configuring Security Alerts and Notifications
4. Automating Threat Detection and Incident Response
5. Best Practices for Security Monitoring Across Multi-Cloud Environments

7th Session: Cloud Compliance and Governance

1. Understanding Compliance Requirements: GDPR, HIPAA, PCI-DSS
2. Implementing Cloud Governance and Policy Enforcement in AWS, Azure, and Google Cloud
3. Automating Compliance with Tools: AWS Config, Azure Policy, Google Cloud Organization Policies
4. Cloud Security Posture Management (CSPM)
5. Best Practices for Managing Compliance in Multi-Cloud Architectures

8th Session: Best Practices and Emerging Trends in Cloud Security Architecture

1. Integrating Security in DevOps: DevSecOps Practices
2. Zero Trust Security Model in Cloud Architectures
3. Securing Multi-Cloud and Hybrid Cloud Architectures
4. Future Trends in Cloud Security: AI, ML, and Quantum-Safe Encryption
5. Course Wrap-Up and Final Q&AThis course will provide practical labs, case studies, and hands-on activities to ensure participants can apply what they’ve learned to real-world cloud security architecture scenarios in AWS, Azure, and Google Cloud.