You're reading from Building and Automating Penetration Testing Labs in the Cloud

Product typeBook

Published inOct 2023

PublisherPackt

ISBN-139781837632398

Edition1st Edition

Concepts

Penetration Testing

Author (1)

Joshua Arvin Lat

Using AI-powered solutions to generate and explain IaC template code

In the previous chapters of this book, we manually prepared the Terraform template code for setting up various penetration testing lab environments on AWS, Azure, and GCP. If you’ve actually worked on the hands-on examples and solutions in the previous chapters, you are probably aware that it takes a significant amount of time to code and prepare these IaC templates from scratch! To accelerate the preparation of IaC template code, we can use AI-powered solutions to generate code automatically using the right set of prompts. In addition to this, we can use these tools to explain existing code as well.

In this section, we will take a closer look at how AI-powered solutions such as ChatGPT and GitHub Copilot Labs can be used to generate and explain IaC template code. You’ll see how we can use these tools to significantly speed up the process of reading and writing code.

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Building and Automating Penetration Testing Labs in the Cloud

Published in: Oct 2023Publisher: PacktISBN-13: 9781837632398

Author (1)

Joshua Arvin Lat

Joshua Arvin Lat is the Chief Technology Officer (CTO) of NuWorks Interactive Labs, Inc. He previously served as the CTO for three Australian-owned companies and as director of software development and engineering for multiple e-commerce start-ups in the past. 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.
Read more about Joshua Arvin Lat

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You're reading from Building and Automating Penetration Testing Labs in the Cloud

Using AI-powered solutions to generate and explain IaC template code

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Author (1)

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