Book Image

Practical Cybersecurity Architecture - Second Edition

By : Diana Kelley, Ed Moyle
Book Image

Practical Cybersecurity Architecture - Second Edition

By: Diana Kelley, Ed Moyle

Overview of this book

Cybersecurity architecture is the discipline of systematically ensuring that an organization is resilient against cybersecurity threats. Cybersecurity architects work in tandem with stakeholders to create a vision for security in the organization and create designs that are implementable, goal-based, and aligned with the organization’s governance strategy. Within this book, you'll learn the fundamentals of cybersecurity architecture as a practical discipline. These fundamentals are evergreen approaches that, once mastered, can be applied and adapted to new and emerging technologies like artificial intelligence and machine learning. You’ll learn how to address and mitigate risks, design secure solutions in a purposeful and repeatable way, communicate with others about security designs, and bring designs to fruition. This new edition outlines strategies to help you work with execution teams to make your vision a reality, along with ways of keeping designs relevant over time. As you progress, you'll also learn about well-known frameworks for building robust designs and strategies that you can adopt to create your own designs. By the end of this book, you’ll have the foundational skills required to build infrastructure, cloud, AI, and application solutions for today and well into the future with robust security components for your organization.
Table of Contents (15 chapters)
1
Part 1: Security Architecture
4
Part 2: Building an Architecture
9
Part 3: Execution

Part 3: Execution

This section continues the theme of how to execute, describing methods of execution and how to integrate architectural designs into ongoing work. We begin by creating an implementation that fits into the model of the high-level solution that we’ve put together based on the organizational requirements and within the target scope. From there, we build in mechanisms such as metrics and instrumentation that allow us to optimize and improve the solution over time, and since no project is ever perfectly executed out of the gate, we work through the various issues that can arise during execution, such as scoping failures, misaligned requirements, and technical hurdles. Lastly, we look at the design process itself as an iterative cycle that can be optimized and improved over time.

This section comprises the following chapters: