Zero Trust Learning

Incorporates the latest advancements in cybersecurity education. It covers the fundamentals, importance, and advantages of zero trust security models; addresses the roles of AI, blockchain and machine learning play in zero trust learning and security; and looks at the different kinds of security threats and how zero trust can mitigate risk. In this internet age of security challenges and threats from cybercrime, enhanced security measures are necessary. The zero trust model—the IT security model that requires strict identity verification for every person and device trying to access resources on a private network—helps to meet these everincreasing and evolving security challenges. This new volume offers a comprehensive overview of the zero trust security model and its application in the field of cybersecurity, covering the principles, technologies, and best practices for implementing a zero trust approach, equipping readers with the knowledge and tools to secure their digital environments effectively. This book stands out by providing a holistic view of the zero trust security model, combining practical guidance for professionals with educational insights for both professionals and students and offering real-world examples and case studies that bridge the gap between learning and implementation.