This course delves into the intricate aspects of asset security, providing IT professionals with essential knowledge aligned with the CISSP curriculum. It begins by exploring asset and data classification, helping you understand the importance of categorizing organizational resources based on sensitivity and value. From there, you'll learn about data and asset handling procedures, focusing on secure provisioning and management practices to ensure that organizational assets are protected throughout their lifecycle.
The course takes a deep dive into the phases of the data lifecycle, explaining how to manage data from creation to disposal. You’ll explore critical topics such as data roles, asset retention, and security implications for data states—whether at rest, in transit, or in use. Practical discussions on asset management and data protection methods like Digital Rights Management (DRM), Data Loss Prevention (DLP), and Cloud Access Security Brokers (CASB) equip you with the tools to safeguard data efficiently.
By the end of the course, you will have a solid understanding of scoping and tailoring security controls, selecting the right standards for your organization, and applying cutting-edge data protection methods. This course prepares you for the CISSP exam while offering real-world applications to enhance your role as an information security professional.
This course is designed for IT and cybersecurity professionals preparing for the CISSP certification, particularly those interested in learning how to secure organizational assets and data. A basic understanding of information security is recommended.
Overview
Syllabus
- Asset and Data Classification Essentials
- This module provides foundational knowledge in identifying, classifying, and managing assets and data within an organization. Learners will explore the various roles associated with data management, lifecycle phases, and asset handling processes. Understanding the classification and provisioning of assets and data is critical for maintaining security and optimizing data management practices within corporate environments.
- Data Security and Retention Strategies
- This module focuses on the methods and strategies used to protect, retain, and secure data throughout its various states. Learners will dive into asset retention strategies, the security measures associated with different data states, and the process of selecting security standards and scoping controls. It also covers advanced data protection methods such as DRM, DLP, and CASB, ensuring that learners are well-equipped to handle modern data protection challenges in corporate environments.
Taught by
Packt - Course Instructors
