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 Classification and Handling

Data Classification and Handling

1. Data Classification

Data classification is the process of organizing data into categories to help ensure data security and integrity. It involves identifying and assigning levels of sensitivity to data based on its importance and the potential impact of its disclosure, modification, or destruction.

Common data classifications include:

Example: A company's annual financial report is classified as Confidential Data because its disclosure could impact stock prices and investor confidence. On the other hand, a company's public press release is classified as Public Data because it is meant to be shared with the general public.

2. Data Handling

Data handling refers to the processes and procedures used to manage data throughout its lifecycle, from creation to deletion. Proper data handling ensures that data is stored, accessed, and transmitted securely, in compliance with relevant regulations and organizational policies.

Key aspects of data handling include:

Example: When handling Confidential Data, an organization might use encrypted USB drives for data storage, enforce multi-factor authentication for data access, and employ VPNs for secure data transmission. Additionally, they might use secure data erasure tools for data deletion to ensure no traces of sensitive information remain.