Book Image

Hands-On Security in DevOps

By : Tony Hsiang-Chih Hsu
Book Image

Hands-On Security in DevOps

By: Tony Hsiang-Chih Hsu

Overview of this book

DevOps has provided speed and quality benefits with continuous development and deployment methods, but it does not guarantee the security of an entire organization. Hands-On Security in DevOps shows you how to adopt DevOps techniques to continuously improve your organization’s security at every level, rather than just focusing on protecting your infrastructure. This guide combines DevOps and security to help you to protect cloud services, and teaches you how to use techniques to integrate security directly in your product. You will learn how to implement security at every layer, such as for the web application, cloud infrastructure, communication, and the delivery pipeline layers. With the help of practical examples, you’ll explore the core security aspects, such as blocking attacks, fraud detection, cloud forensics, and incident response. In the concluding chapters, you will cover topics on extending DevOps security, such as risk assessment, threat modeling, and continuous security. By the end of this book, you will be well-versed in implementing security in all layers of your organization and be confident in monitoring and blocking attacks throughout your cloud services.
Table of Contents (23 chapters)

Summary

In this chapter, we discussed the security requirements of products and services for GDPR compliance. Generally, the security requirements cover the privacy notice, lawfulness of processing data, data minimization, consent, the right to object to data processing, the rights of the data subject, the right to data portability, data transfer, and the right to be forgotten.

We also illustrated some of the common product design issues. For example, the product doesn't provide an interface for the user to edit or export their own personal data. The default value of the user consent is always Agree. Furthermore, we also shared the self-assessment checklists for the GDPR data protection.

Five practical GDPR case studies were also discussed with a description of the issue, the suggested actions, and the open source tools to use. The cases covered data discovery, database anonymization...