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Empirical Cloud Security: Practical Intelligence to Evaluate Risks and Attacks
This book, Empirical Cloud Security, aims to provide a practical guide for evaluating risks and attacks in cloud environments. The second edition focuses on the latest cloud security research and developments, offering an all-inclusive resource for students, researchers, and professionals. It covers a wide range of security assessment techniques, emphasizing the importance of data privacy and compliance with standards like GDPR and CCPA. The book dives deep into securing cloud-native applications, exploring frameworks like CNAPP and its relationship to CSPM, CWPP, and CIEM. Additionally, it explores edge computing paradigms, contrasting cloud and edge computing, and provides a comprehensive analysis of security risks associated with network infrastructure, databases, and cloud storage services. The book also covers secure code review, focusing on identifying and fixing vulnerabilities in common cloud programming languages like NodeJS, Java, Python, Scala, and Golang. Finally, it delves into cloud monitoring and logging, emphasizing secure log management, as well as threat intelligence and malware protection. This includes examining threat actors, attack vectors, and common security flaws within various cloud components like virtualization, containers, services, applications, host instances, and software repositories.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Empirical-Cloud-Security-Practical-Intelligence/dp/150152139X?&linkCode=ll1&tag=cvthunderx-20&linkId=32a4787491e702d34ad4297eb6269a15&language=en_US&ref_=as_li_ss_tl
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Empirical-Cloud-Security-Practical-Intelligence/dp/150152139X?&linkCode=ll1&tag=cvthunderx-20&linkId=32a4787491e702d34ad4297eb6269a15&language=en_US&ref_=as_li_ss_tl
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By CyberSecurity SummaryThis book, Empirical Cloud Security, aims to provide a practical guide for evaluating risks and attacks in cloud environments. The second edition focuses on the latest cloud security research and developments, offering an all-inclusive resource for students, researchers, and professionals. It covers a wide range of security assessment techniques, emphasizing the importance of data privacy and compliance with standards like GDPR and CCPA. The book dives deep into securing cloud-native applications, exploring frameworks like CNAPP and its relationship to CSPM, CWPP, and CIEM. Additionally, it explores edge computing paradigms, contrasting cloud and edge computing, and provides a comprehensive analysis of security risks associated with network infrastructure, databases, and cloud storage services. The book also covers secure code review, focusing on identifying and fixing vulnerabilities in common cloud programming languages like NodeJS, Java, Python, Scala, and Golang. Finally, it delves into cloud monitoring and logging, emphasizing secure log management, as well as threat intelligence and malware protection. This includes examining threat actors, attack vectors, and common security flaws within various cloud components like virtualization, containers, services, applications, host instances, and software repositories.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Empirical-Cloud-Security-Practical-Intelligence/dp/150152139X?&linkCode=ll1&tag=cvthunderx-20&linkId=32a4787491e702d34ad4297eb6269a15&language=en_US&ref_=as_li_ss_tl
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Empirical-Cloud-Security-Practical-Intelligence/dp/150152139X?&linkCode=ll1&tag=cvthunderx-20&linkId=32a4787491e702d34ad4297eb6269a15&language=en_US&ref_=as_li_ss_tl