Asset Security from Coursera

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.

What's inside

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.

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Aligns with the CISSP curriculum, which is a globally recognized certification for information security professionals and demonstrates a high level of competence

Explores data loss prevention (DLP) and cloud access security brokers (CASB), which are essential for modern data protection challenges in corporate environments

Covers digital rights management (DRM), which is a set of access control technologies used for restricting the use of proprietary hardware and copyrighted works

Requires a basic understanding of information security, so learners without prior experience in the field may need to acquire foundational knowledge first

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Asset Security with these activities:

Review Data Classification Concepts

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Reinforce your understanding of data classification principles, which are fundamental to asset security and risk management.

Browse courses on Data Classification

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Review different data classification levels (e.g., confidential, private, public).
Identify examples of data that fall into each classification level.
Summarize the security controls appropriate for each classification level.

Read 'Data Privacy and GDPR Handbook'

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Gain a deeper understanding of data privacy regulations and their impact on asset security strategies.

View Putting Knowledge to Work on Amazon

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Read the book, focusing on chapters related to data governance and compliance.
Summarize the key principles of GDPR and other relevant privacy regulations.
Relate these principles to the data handling procedures discussed in the course.

Scenario-Based Data Handling Exercises

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Reinforce your understanding of data handling procedures through practical scenario-based exercises.

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Create scenarios involving different data types and classification levels.
Determine the appropriate handling procedures for each scenario.
Document your decisions and justify your reasoning.

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Create a Presentation on Data Loss Prevention

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Solidify your understanding of DLP by creating a presentation that explains its principles and implementation.

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Research different DLP solutions and their capabilities.
Outline the key components of a DLP strategy.
Prepare slides that explain the benefits and challenges of DLP.
Present the material to peers or colleagues for feedback.

Develop a Data Classification Policy

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Apply your knowledge by creating a data classification policy tailored to a hypothetical organization.

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Define the scope and objectives of the data classification policy.
Identify the different data types and classification levels relevant to the organization.
Outline the security controls and handling procedures for each classification level.
Document the roles and responsibilities related to data classification.

Design a Secure Data Disposal Plan

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Apply your knowledge of data lifecycle management by designing a secure data disposal plan.

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Research different data disposal methods and their effectiveness.
Outline the steps involved in securely disposing of different data types.
Document the procedures for verifying and documenting data disposal.
Create a checklist to ensure compliance with data disposal policies.

Review 'CISSP All-in-One Exam Guide'

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Prepare for the CISSP exam by reviewing the relevant sections of the CISSP All-in-One Exam Guide.

View CISSP All-in-One Exam Guide, Ninth Edition on Amazon

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Read the chapters related to asset security and data protection.
Complete the practice questions and review the explanations.
Identify areas where you need further review and focus your studies accordingly.

Career center

Learners who complete Asset Security will develop knowledge and skills that may be useful to these careers:

Information Security Analyst

An Information Security Analyst plays a pivotal role in safeguarding an organization's data and systems, a mission that aligns perfectly with the content of this course. This role involves assessing risks, implementing security measures, and responding to security incidents. This course helps build a foundation in asset and data classification, data handling procedures, and the application of security controls, all of which are crucial for an Information Security Analyst to effectively protect organizational resources. The course also explores data states and lifecycle, which helps the security analyst manage data effectively.

See salaries and explore the career path for Information Security Analyst

Cybersecurity Consultant

A Cybersecurity Consultant provides expert advice and solutions to organizations looking to improve their security posture. The course's emphasis on data classification, handling, and lifecycle management directly applies to a consultant's responsibilities. In particular, the course's coverage of data protection methods such as Digital Rights Management, Data Loss Prevention, and Cloud Access Security Brokers is of great relevance. This course may be useful for a Cybersecurity Consultant looking to advise clients on how to safeguard their data and assets using current best practices. This role often involves tailoring security controls which this course addresses directly.

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Data Security Engineer

A Data Security Engineer is responsible for designing and implementing security systems to protect an organization's data. This course helps build a foundation in understanding data classification, secure handling, and data lifecycle management. A Data Security Engineer will find the practical discussions on asset management and data protection methods such as Digital Rights Management, Data Loss Prevention, and Cloud Access Security Brokers to be immediately applicable. The skills taught in this course may be useful to a Data Security Engineer in their efforts to create effective security systems.

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IT Security Manager

An IT Security Manager is tasked with overseeing an organization's information security policies and procedures. An IT Security Manager would find the course content on asset and data classification, data handling, and security controls to be directly relevant to leading a team of cybersecurity professionals. The course explores practical discussions on data protection methods that an IT Security Manager will need to consider when managing resources and enforcing security policies. This course helps prepare a Security Manager to understand the standards that should be applied.

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Security Architect

A Security Architect designs and implements security systems for an organization. This course helps a Security Architect learn about asset and data classification, secure handling procedures, and data lifecycle management. A Security Architect will find the course's deep dive into scoping and tailoring security controls, along with the practical discussions on data protection methods such as Digital Rights Management, Data Loss Prevention, and Cloud Access Security Brokers to be very relevant. This course can help a Security Architect develop a comprehensive security strategy.

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Compliance Analyst

A Compliance Analyst ensures that an organization adheres to industry regulations and security standards relating to data protection. This course may be useful for a Compliance Analyst because it provides a comprehensive look into asset and data classification, secure handling processes, and the application of security controls. The course's focus on security standards and scoping fits well with the requirement to ensure regulatory compliance. Moreover the course's deep dive into data lifecycle management, may assist a Compliance Analyst in their role.

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Risk Analyst

A Risk Analyst assesses potential threats and vulnerabilities to an organization's assets, a process that directly benefits from the knowledge taught in this course. This role involves identifying risks to data and systems and proposing solutions to mitigate such risks. This course’s focus on asset and data classification, handling, and protection methods provides a strong foundation for a Risk Analyst to identify and evaluate vulnerabilities. Learning how to apply security controls, as taught in this course, may be particularly useful for a Risk Analyst.

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Data Governance Analyst

A Data Governance Analyst is responsible for creating and enforcing policies related to an organization's data. This course may prove useful for a Data Governance Analyst by providing a solid foundation in data classification, lifecycle management, and security practices. The course’s deep dive into data roles, asset retention, and security implications for data states may help a Data Governance Analyst develop effective data policies. The exploration of protection methods like Digital Rights Management and Data Loss Prevention may enable a Data Governance Analyst to implement best practices.

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Cloud Security Specialist

A Cloud Security Specialist focuses on securing an organization's cloud-based assets and data. This course may be useful due to its focus on data protection methods such as Cloud Access Security Brokers, which are essential for securing cloud environments. The course’s coverage of asset and data classification also applies to cloud security. Furthermore, discussions on data lifecycle, data state, selecting standards, and scoping controls may provide a Cloud Security Specialist with the relevant skills and knowledge needed in this role.

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Systems Administrator

A Systems Administrator maintains and manages an organization's IT infrastructure, a role that benefits from an understanding of asset security. A Systems Administrator may find that this course helps them to better manage organizational resources by learning about how to classify data and assets, and how to apply security controls. The course material on data handling procedures, secure provisioning, and data lifecycle, may be useful to a Systems Administrator in ensuring that systems are managed securely. This course may help a System Administrator in their efforts to protect company resources.

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Network Engineer

A Network Engineer designs, implements, and manages an organization's network infrastructure. This role requires some understanding that this course provides about data protection and asset management. A Network Engineer may find that this course helps them learn how to classify data and assets and may be useful in their efforts to secure network traffic. The course covers data states which may help a Network Engineer in the role. This course may be useful to a Network Engineer.

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Database Administrator

A Database Administrator manages and secures an organization's databases. A Database Administrator will find the course content on data classification, data security, and data lifecycle management may be useful. In particular, the course's discussion about how to secure data at rest, in transit, and in use may be applicable to the role. The skills taught in this course may be useful to a Database Administrator when implementing security policies concerning data. This course may be useful to a Database Administrator.

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Software Developer

A Software Developer designs and develops software applications. While not directly focused on development, a Software Developer may find that this course provides some insight into secure coding practices and data handling concepts, which may prove useful. The course’s focus on data classification and protection may help a Software Developer build more secure applications. The course's discussion of Digital Rights Management and Data Loss Prevention may be of use to a Software Developer. This course may be useful to a Software Developer.

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Project Manager

A Project Manager oversees the planning, execution, and completion of projects. A Project Manager may find the principles of data management discussed in the course to be tangentially beneficial. This course covers topics like asset classification which may help a Project Manager better manage resources. The project manager may find this course insightful in their role. This course may be useful to a Project Manager.

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Technical Writer

A Technical Writer produces documentation for technical products and services. This course may be useful to a Technical Writer for learning about security terminology and processes, which may help when writing documentation for security tools. This course may generally increase a Technical Writer's understanding of the field. The course’s deep dive into data lifecycle management may aid a technical writer. This course may be useful to a Technical Writer.

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