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
7.2 Disaster Recovery Planning

7.2 Disaster Recovery Planning

Disaster Recovery Planning (DRP) is a critical component of cloud security that ensures business continuity in the event of a disaster. Key concepts include:

Business Impact Analysis (BIA)

BIA involves assessing the potential impact of a disaster on business operations. This includes identifying critical functions, determining the resources required to resume operations, and estimating the financial and operational losses.

Example: A financial institution conducts a BIA to identify which systems and processes are critical for daily operations. They determine that the trading platform is essential and must be restored within 2 hours to avoid significant financial losses.

Recovery Time Objective (RTO)

RTO is the maximum acceptable amount of time it takes to restore a system or application after a disaster. It is determined based on the BIA and business requirements.

Example: A healthcare provider sets an RTO of 4 hours for their patient records system. This means they aim to restore the system within 4 hours to ensure continuous patient care.

Recovery Point Objective (RPO)

RPO is the maximum acceptable amount of data loss measured in time. It defines the point in time to which data must be restored after a disaster.

Example: An e-commerce company sets an RPO of 1 hour for their transaction database. This means they can afford to lose up to 1 hour of transactions in the event of a disaster.

Disaster Recovery Strategies

Disaster recovery strategies include various approaches to recover systems and data after a disaster. Common strategies include cold sites, warm sites, and hot sites.

Example: A large corporation uses a hot site as their disaster recovery strategy. A hot site is a fully equipped and operational facility that can be quickly activated to replace the primary site in case of a disaster.

Backup and Restore

Backup and restore involve creating copies of data and systems and restoring them in the event of a disaster. This is a fundamental part of disaster recovery planning.

Example: A cloud service provider regularly backs up customer data to multiple geographically dispersed locations. In the event of a data center failure, they can restore the data from the most recent backup.

Failover and Failback

Failover is the process of switching to a backup system or site when the primary system fails. Failback is the process of restoring the primary system and switching back to it after the issue is resolved.

Example: A web hosting company implements automatic failover to a secondary data center when the primary data center experiences an outage. Once the primary data center is restored, they perform failback to resume normal operations.

Testing and Maintenance

Testing and maintenance involve regularly testing the disaster recovery plan to ensure its effectiveness and making necessary updates to keep it current.

Example: A financial services company conducts annual disaster recovery drills to test their plan. They also update the plan based on any changes in business operations or technology.

Examples and Analogies

To better understand Disaster Recovery Planning, consider the following examples and analogies:

By understanding and implementing these key concepts, organizations can effectively plan for and recover from disasters, ensuring business continuity and minimizing losses.