CompTIA Secure Data Professional
1 Introduction to Data Security
1-1 Understanding Data Security
1-2 Importance of Data Security in Organizations
1-3 Overview of CompTIA Secure Data Professional Certification
2 Data Classification and Handling
2-1 Data Classification Models
2-2 Data Sensitivity Levels
2-3 Data Handling Policies and Procedures
2-4 Data Retention and Disposal
3 Data Encryption and Decryption
3-1 Introduction to Encryption
3-2 Symmetric Encryption
3-3 Asymmetric Encryption
3-4 Hybrid Encryption
3-5 Key Management
3-6 Digital Signatures
4 Data Loss Prevention (DLP)
4-1 Understanding DLP
4-2 DLP Technologies and Tools
4-3 Implementing DLP Solutions
4-4 Monitoring and Reporting DLP Incidents
5 Data Governance and Compliance
5-1 Data Governance Framework
5-2 Regulatory Compliance Requirements
5-3 Data Privacy Laws and Regulations
5-4 Data Breach Notification Requirements
6 Data Security in Cloud Environments
6-1 Cloud Security Models
6-2 Data Security in Public, Private, and Hybrid Clouds
6-3 Cloud Data Encryption
6-4 Cloud Data Access Controls
7 Data Security in Mobile and IoT Environments
7-1 Mobile Data Security
7-2 IoT Data Security
7-3 Securing Data in Mobile and IoT Devices
7-4 Mobile and IoT Data Encryption
8 Incident Response and Forensics
8-1 Incident Response Planning
8-2 Data Breach Investigation
8-3 Digital Forensics
8-4 Incident Reporting and Communication
9 Data Security Risk Management
9-1 Risk Assessment and Analysis
9-2 Risk Mitigation Strategies
9-3 Data Security Policies and Procedures
9-4 Continuous Monitoring and Improvement
10 Professional Responsibilities and Ethics
10-1 Professional Code of Ethics
10-2 Legal and Ethical Considerations in Data Security
10-3 Professional Development and Continuous Learning
10-4 Communication and Collaboration in Data Security
Data Retention and Disposal

Data Retention and Disposal

1. Data Retention

Data retention refers to the policy of storing data for a predetermined period. This practice ensures that data is available for future reference, compliance audits, or legal requirements. Proper data retention policies help organizations manage their data efficiently while ensuring it remains accessible when needed.

Key aspects of data retention include:

Example: A financial institution must retain transaction records for at least seven years to comply with tax regulations. This ensures that the data is available for audits and legal inquiries during this period.

2. Data Disposal

Data disposal involves the secure deletion or destruction of data that is no longer needed. Proper data disposal practices prevent unauthorized access to sensitive information and reduce the risk of data breaches. Effective data disposal ensures that data cannot be recovered or reconstructed.

Key aspects of data disposal include:

Example: When disposing of old hard drives containing confidential client information, a company might use a professional data destruction service that physically shreds the drives. This ensures that no data remnants can be recovered, protecting client privacy.