Cybersecurity Data Analyst's Foundational Data Security & Privacy

Master the essential principles and practical techniques of data security and privacy crucial for a data analyst role in the cybersecurity domain.

Understanding Core Data Security & Privacy Principles

Unit 1: Foundational Concepts of Data Security

Unit 2: Data Privacy: Concepts and Importance

Unit 3: Data Governance and Compliance

Data Classification and Handling

Unit 1: Foundations of Data Classification

Unit 2: Implementing Data Classification

Unit 3: Data Handling Procedures

Secure Data Storage and Transmission

Unit 1: Data at Rest: Storage Security

Unit 2: Data in Transit: Transmission Security

Unit 3: Maintaining Security Posture

Data Masking and Anonymization Techniques

Unit 1: Introduction to Data De-identification

Unit 2: Data Masking Techniques

Unit 3: Data Anonymization Techniques

Unit 4: Selecting & Applying Techniques

Data Loss Prevention and Integrity Monitoring

Unit 1: Introduction to Data Loss Prevention (DLP)

Unit 2: DLP Components and Policy Enforcement

Unit 3: Introduction to File Integrity Monitoring (FIM)

Unit 4: FIM Mechanisms and Best Practices

Unit 5: DLP & FIM in Practice

Recognizing and Mitigating Insider Threats

Unit 1: Understanding Insider Threats

Unit 2: Recognizing Insider Threat Indicators

Unit 3: Mitigating Insider Risks