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)

Unknown threat detection

The threat landscape is in a constant state of flux, with newly emerging, sophisticated technologies. The investment associated with security protection to handle the dynamic threat landscape is also becoming huge. Security protection is shifting from known threat detection to the early prevention of unknown threats. Big data frameworks, machine learning, and threat intelligence are the technologies that help to achieve the detection of unknown threats. Correlation analysis of abnormal events is key to detecting potential unknown threats.

The following diagram shows the concept of correlation or machine learning with different data sources:

The objective of network traffic analysis is to identify abnormal internal host traffic communications. The challenge posed by network traffic analysis is that the amount of data can be overwhelming. In addition, in...