Perimeter defenses guarding your network arent as secure as you might think. Hosts behind the firewall have no defenses of their own, so when a host in the trusted zone is breached, access to your data center is not far behind. This practical book introduces you to the zero trust model, a method that treats all hosts as if theyre internet-facing, and considers the entire network to be compromised and hostile. Authors Evan Gilman and Doug Barth show you how zero trust lets you focus on building strong authentication, authorization, and encryption throughout, while providing compartmentalized access and better operational agility. Youll learn the architecture of a zero trust network, including how to build one using currently available technology. Understand how the zero trust model embeds security within the systems operation, rather than layering it on top Examine the fundamental concepts at play in a zero trust network, including network agents and trust engines Use existing technology to establish trust among the actors in a network Learn how to migrate from a perimeter-based network to a zero trust network in production Explore case studies of zero trust on the client side (Google) and on the server (PagerDuty)
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Product Details
Weight: 666g
Dimensions: 150 x 250mm
Publication Date: 10 Jul 2017
Publisher: O'Reilly Media
Publication City/Country: United States
Language: English
ISBN13: 9781491962190
About Doug BarthEvan Gilman
Evan Gilman is an Operations Engineer with a background in computer networks. With roots in academia and currently working in the public internet he has been building and operating systems in hostile environments his entire professional career. An open source contributor speaker and author Evan is passionate about designing systems that strike a balance with the networks they run on. Doug Barth is a software engineer who loves to learn and shares his knowledge with others. He has worked on systems of various sizes at companies like Orbitz and PagerDuty. He has built and spoken about monitoring systems mesh networks and failure injection practices.