| Expiry period |
Lifetime |
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| Made in |
English |
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| Last updated at |
Tue Mar 2024 |
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| Level |
Intermediate |
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| Total lectures |
0 |
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| Total quizzes |
0 |
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| Total duration |
Hours |
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| Total enrolment |
0 |
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| Number of reviews |
0 |
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| Short description |
In the digital age, data has become one of the most valuable assets for organizations across industries. However, with this increasing reliance on data comes the pressing need for robust protection mechanisms to safeguard sensitive information from unauthorized access, breaches, and exploitation. |
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| Outcomes |
- Understanding Data Security Fundamentals: Explore the foundational principles of data security, including confidentiality, integrity, and availability, and their significance in protecting organizational assets.
- Data Encryption Techniques: Learn about encryption algorithms, key management practices, and cryptographic protocols used to secure data at rest, in transit, and in use, mitigating the risk of data breaches and unauthorized access.
- Access Control Mechanisms: Examine access control models, authentication methods, and authorization mechanisms designed to control user access to sensitive data and resources, ensuring only authorized personnel can view or modify critical information.
- Data Loss Prevention (DLP): Gain insights into DLP strategies and technologies aimed at preventing the unauthorized disclosure or leakage of sensitive data, including content discovery, policy enforcement, and data monitoring solutions.
- Regulatory Compliance and Privacy Laws: Navigate the complex landscape of data protection regulations and privacy laws, such as GDPR, CCPA, HIPAA, and PCI DSS, ensuring organizational compliance and mitigating legal risks associated with data breaches.
- Incident Response and Data Breach Management: Develop incident response plans and procedures to effectively detect, respond to, and mitigate data security incidents, minimizing the impact of breaches on organizational operations and reputation.
- Cloud Data Security: Explore security considerations and best practices for protecting data stored, processed, or transmitted in cloud environments, addressing unique challenges and risks associated with cloud computing.
- Emerging Trends in Data Protection: Stay abreast of the latest trends and innovations in data protection, including machine learning-based threat detection, zero-trust architectures, and blockchain-based solutions.
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| Requirements |
- Basic IT Literacy: Participants should have a foundational understanding of basic IT concepts, including computer hardware, software, networks, and operating systems. This knowledge will serve as a prerequisite for comprehending more advanced topics covered in the course.
- Familiarity with Cybersecurity Fundamentals: A basic understanding of cybersecurity principles, such as confidentiality, integrity, and availability, will be beneficial. Participants should be familiar with common cybersecurity threats, attack vectors, and defense mechanisms to fully engage with the course material.
- Access to Computer and Internet: Participants must have access to a computer with a reliable internet connection to participate in online lectures, access course materials, and complete assignments. Additionally, access to relevant software tools and applications used in the course may be required.
- Commitment to Active Participation: Active participation in lectures, discussions, group activities, and practical exercises is essential for maximizing learning outcomes. Participants should be prepared to engage with course content, ask questions, collaborate with peers, and contribute to a supportive learning environment.
- Time Management Skills: The course may require a significant time commitment to complete readings, assignments, labs, and other learning activities. Participants should possess strong time management skills to effectively balance their study schedule with other personal and professional obligations.
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