CompTIA Secure Cloud Professional
1 Cloud Concepts and Models
1-1 Cloud Computing Overview
1-2 Cloud Service Models (IaaS, PaaS, SaaS)
1-3 Cloud Deployment Models (Public, Private, Hybrid, Community)
1-4 Cloud Characteristics (On-demand self-service, Broad network access, Resource pooling, Rapid elasticity, Measured service)
2 Cloud Security Concepts
2-1 Security in the Cloud
2-2 Shared Responsibility Model
2-3 Cloud Security Controls
2-4 Cloud Security Posture Management (CSPM)
3 Cloud Governance and Compliance
3-1 Governance in the Cloud
3-2 Compliance and Regulatory Requirements
3-3 Data Sovereignty and Residency
3-4 Cloud Service Agreements (CSAs)
4 Cloud Data Security
4-1 Data Classification and Handling
4-2 Data Encryption in the Cloud
4-3 Data Loss Prevention (DLP)
4-4 Data Lifecycle Management
5 Cloud Infrastructure Security
5-1 Virtualization Security
5-2 Network Security in the Cloud
5-3 Identity and Access Management (IAM)
5-4 Security Monitoring and Logging
6 Cloud Application Security
6-1 Secure Development Lifecycle (SDLC) in the Cloud
6-2 Application Security Testing
6-3 API Security
6-4 Secure Configuration Management
7 Cloud Incident Response and Disaster Recovery
7-1 Incident Response in the Cloud
7-2 Disaster Recovery Planning
7-3 Business Continuity Planning
7-4 Backup and Restore Strategies
8 Cloud Risk Management
8-1 Risk Assessment and Management
8-2 Threat Modeling in the Cloud
8-3 Vulnerability Management
8-4 Cloud Security Audits and Assessments
9 Cloud Security Operations
9-1 Security Operations Center (SOC) in the Cloud
9-2 Continuous Monitoring and Detection
9-3 Incident Management and Response
9-4 Security Automation and Orchestration
10 Cloud Security Technologies and Tools
10-1 Cloud Access Security Brokers (CASBs)
10-2 Security Information and Event Management (SIEM)
10-3 Intrusion Detection and Prevention Systems (IDPS)
10-4 Cloud Workload Protection Platforms (CWPPs)
11 Cloud Security Best Practices
11-1 Security Policies and Procedures
11-2 Security Awareness and Training
11-3 Vendor Management and Third-Party Risk
11-4 Continuous Improvement and Innovation
6.1 Secure Development Lifecycle (SDLC) in the Cloud

6.1 Secure Development Lifecycle (SDLC) in the Cloud

The Secure Development Lifecycle (SDLC) in the Cloud is a systematic approach to integrating security practices into each phase of the software development process. This ensures that security is considered from the initial planning stages through to deployment and maintenance. Understanding key concepts such as Secure Design, Secure Coding Practices, Continuous Integration/Continuous Deployment (CI/CD), and Security Testing is essential for implementing a robust SDLC in the cloud.

Key Concepts in Secure Development Lifecycle (SDLC) in the Cloud

1. Secure Design

Secure Design involves incorporating security principles into the initial planning and architecture of a software system. This phase ensures that potential security risks are identified and mitigated early in the development process.

Example: A cloud-based e-commerce platform includes secure design principles by implementing a microservices architecture, which isolates different functionalities and reduces the impact of a single point of failure.

2. Secure Coding Practices

Secure Coding Practices involve writing code that adheres to security best practices to prevent common vulnerabilities such as SQL injection, cross-site scripting (XSS), and buffer overflows. This phase ensures that the code is resilient to attacks.

Example: Developers use static code analysis tools to identify and fix security vulnerabilities in their code before it is deployed to the cloud environment.

3. Continuous Integration/Continuous Deployment (CI/CD)

CI/CD is a development practice that involves continuously integrating code changes into a shared repository and automatically deploying them to the cloud environment. This phase ensures that security checks are integrated into the CI/CD pipeline to catch vulnerabilities early.

Example: A cloud service provider uses a CI/CD pipeline that includes automated security scans and tests for each code commit, ensuring that only secure code is deployed to production.

4. Security Testing

Security Testing involves evaluating the security of a software system through techniques such as penetration testing, vulnerability scanning, and code reviews. This phase ensures that the system is resilient to attacks and meets security requirements.

Example: A financial institution conducts regular penetration testing on its cloud-based applications to identify and fix security vulnerabilities before they can be exploited by attackers.

5. Incident Response Planning

Incident Response Planning involves preparing for and responding to security incidents. This phase ensures that the organization has a well-defined plan to detect, respond to, and recover from security incidents.

Example: A cloud provider has an incident response plan that includes steps for isolating affected systems, notifying stakeholders, and restoring services after a security breach.

6. Post-Deployment Monitoring

Post-Deployment Monitoring involves continuously monitoring the deployed system for security threats and vulnerabilities. This phase ensures that any new threats are detected and addressed promptly.

Example: A healthcare organization uses security information and event management (SIEM) tools to monitor its cloud-based systems for suspicious activities and potential security breaches.

Examples and Analogies

To better understand the Secure Development Lifecycle (SDLC) in the Cloud, consider the following examples and analogies:

By understanding and implementing these key concepts, organizations can significantly enhance the security of their software development processes, ensuring a more secure and resilient cloud environment.