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Building and Automating Penetration Testing Labs in the Cloud. Set up cost-effective hacking environments for learning cloud security on AWS, Azure, and GCP Joshua Arvin Lat

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Building and Automating Penetration Testing Labs in the Cloud. Set up cost-effective hacking environments for learning cloud security on AWS, Azure, and GCP Joshua Arvin Lat - okladka książki

Building and Automating Penetration Testing Labs in the Cloud. Set up cost-effective hacking environments for learning cloud security on AWS, Azure, and GCP Joshua Arvin Lat - okladka książki

Autor:
Joshua Arvin Lat
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
562
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The significant increase in the number of cloud-related threats and issues has led to a surge in the demand for cloud security professionals. This book will help you set up vulnerable-by-design environments in the cloud to minimize the risks involved while learning all about cloud penetration testing and ethical hacking.
This step-by-step guide begins by helping you design and build penetration testing labs that mimic modern cloud environments running on AWS, Azure, and Google Cloud Platform (GCP). Next, you’ll find out how to use infrastructure as code (IaC) solutions to manage a variety of lab environments in the cloud. As you advance, you’ll discover how generative AI tools, such as ChatGPT, can be leveraged to accelerate the preparation of IaC templates and configurations. You’ll also learn how to validate vulnerabilities by exploiting misconfigurations and vulnerabilities using various penetration testing tools and techniques. Finally, you’ll explore several practical strategies for managing the complexity, cost, and risks involved when dealing with penetration testing lab environments in the cloud.
By the end of this penetration testing book, you’ll be able to design and build cost-effective vulnerable cloud lab environments where you can experiment and practice different types of attacks and penetration testing techniques.

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O autorze książki

Joshua Arvin Lat is the Chief Technology Officer (CTO) of NuWorks Interactive Labs, Inc. He previously served as the CTO of three Australian-owned companies and also served as the Director for Software Development and Engineering for multiple e-commerce start-ups in the past, which allowed him to be more effective as a leader. Years ago, he and his team won first place in a global cybersecurity competition with their published research paper. He is also an AWS Machine Learning Hero and has shared his knowledge at several international conferences, discussing practical strategies on machine learning, engineering, security, and management.

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