This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, ML/DL in cloud security. This book is designed for security and risk assessment professionals to help the students of undergraduate, postgraduate and research scholars, academicians, and technology professionals. Who are interested in learning practical approaches to cloud security. It covers practical strategies or assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats, attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hand-on assessment techniques based on real-world studies. Users will learn detailed information on cloud computing security that-until now-has been sorely lacking.

The book has following features:

1. Includes practical strategies for assessing the security and privacy of cloud infrastructure and applications.

2. Covers topics such as AI, Blockchain, ML/DL in cloud security.

3. Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats.

4. Understand the privacy aspects you need to consider in the cloud, including how they compare with traditional computing models.

5. Examine security delivered as a service-a different facet of cloud security.