CompTIA Secure Software Professional
1 Secure Software Concepts
1-1 Understanding Secure Software Development Lifecycle (SSDLC)
1-2 Identifying Security Requirements
1-3 Secure Coding Principles
1-4 Threat Modeling
1-5 Risk Management
1-6 Security Testing
1-7 Incident Response and Management
1-8 Software Development Models
1-9 Legal and Compliance Considerations
2 Secure Software Design
2-1 Secure Architecture Design
2-2 Data Protection and Privacy
2-3 Secure Authentication and Authorization
2-4 Secure Communication and Data Transmission
2-5 Secure Logging and Monitoring
2-6 Secure API Design
2-7 Secure Mobile Application Design
2-8 Secure Cloud Application Design
2-9 Secure Microservices Design
2-10 Secure IoT Application Design
3 Secure Software Implementation
3-1 Secure Coding Practices
3-2 Input Validation and Output Encoding
3-3 Error Handling and Exception Management
3-4 Secure Use of Cryptography
3-5 Secure Use of Libraries and Frameworks
3-6 Secure Configuration Management
3-7 Secure Database Interaction
3-8 Secure File Handling
3-9 Secure Session Management
3-10 Secure Use of Third-Party Components
4 Secure Software Testing
4-1 Static Application Security Testing (SAST)
4-2 Dynamic Application Security Testing (DAST)
4-3 Interactive Application Security Testing (IAST)
4-4 Penetration Testing
4-5 Fuzz Testing
4-6 Security Code Review
4-7 Security Testing Automation
4-8 Vulnerability Scanning
4-9 Compliance Testing
4-10 Security Testing in Continuous IntegrationContinuous Deployment (CICD)
5 Secure Software Deployment and Operations
5-1 Secure Deployment Practices
5-2 Secure Configuration of Production Environments
5-3 Secure Patch Management
5-4 Secure Backup and Recovery
5-5 Secure Logging and Monitoring in Production
5-6 Incident Response in Production
5-7 Secure Software Updates and Rollbacks
5-8 Secure Software Decommissioning
5-9 Secure Collaboration and Communication
5-10 Secure Software Supply Chain Management
6 Secure Software Maintenance and Evolution
6-1 Secure Software Maintenance Practices
6-2 Secure Software Evolution
6-3 Secure Software Re-engineering
6-4 Secure Software Documentation
6-5 Secure Software Version Control
6-6 Secure Software Change Management
6-7 Secure Software Quality Assurance
6-8 Secure Software User Training and Awareness
6-9 Secure Software Metrics and Reporting
6-10 Secure Software Lifecycle Management
Secure Backup and Recovery

Secure Backup and Recovery

Key Concepts

Secure Backup and Recovery is a critical process in ensuring data integrity, availability, and resilience against data loss. Key concepts include:

Data Backup

Data Backup involves creating copies of data to restore it in case of data loss. This process ensures that critical information is preserved and can be recovered quickly.

Example: A company performs regular backups of its customer database to an offsite location. In the event of a server failure, the company can restore the database from the backup, minimizing downtime and data loss.

Data Encryption

Data Encryption is the process of converting data into a secure format that cannot be easily understood by unauthorized users. This ensures that even if backups are compromised, the data remains secure.

Example: During the backup process, sensitive financial data is encrypted using AES-256 encryption. This ensures that even if the backup files are accessed by unauthorized individuals, the data remains unreadable and secure.

Disaster Recovery Plan

A Disaster Recovery Plan outlines the procedures to restore data and systems after a disaster. This plan includes strategies for data recovery, system restoration, and business continuity.

Example: A Disaster Recovery Plan includes steps to recover from a ransomware attack, such as isolating affected systems, restoring data from encrypted backups, and updating security measures to prevent future attacks.

Backup Verification

Backup Verification involves testing backups to ensure they are complete, accurate, and can be restored successfully. This process helps identify and address any issues with the backup process.

Example: A company conducts regular backup verification tests by restoring a sample of backed-up data to a test environment. This ensures that the backups are functional and can be relied upon in case of a real data loss event.

Data Retention Policy

A Data Retention Policy defines how long data should be retained and when it should be deleted. This policy helps manage storage costs, comply with legal requirements, and reduce the risk of data breaches.

Example: A Data Retention Policy specifies that financial records must be retained for seven years to comply with tax regulations. After this period, the records are securely deleted to free up storage space and reduce the risk of data exposure.

Examples and Analogies

Data Backup Example

Think of data backup as a safety deposit box for your valuables. Just as you store important documents in a secure location, data backups ensure that critical information is preserved and can be retrieved when needed.

Data Encryption Example

Consider data encryption like a locked safe. Just as a safe protects your valuables from theft, encryption protects your data from unauthorized access, even if the backup is stolen.

Disaster Recovery Plan Example

Imagine a disaster recovery plan as an emergency preparedness kit. Just as the kit contains essential supplies for various emergencies, a disaster recovery plan contains essential procedures to restore data and systems after a disaster.

Backup Verification Example

Think of backup verification as a fire drill. Just as a fire drill tests your ability to evacuate safely, backup verification tests your ability to restore data successfully in case of a real data loss event.

Data Retention Policy Example

Consider a data retention policy like a library's cataloging system. Just as the library keeps books for a certain period and then removes outdated ones, a data retention policy manages data storage by retaining necessary information and deleting outdated data.