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Hybrid Cloud Security Patterns

Hybrid Cloud Security Patterns

By : Sreekanth Iyer
4.8 (4)
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Hybrid Cloud Security Patterns

Hybrid Cloud Security Patterns

4.8 (4)
By: Sreekanth Iyer

Overview of this book

Security is a primary concern for enterprises going through digital transformation and accelerating their journey to multi-cloud environments. This book recommends a simple pattern-based approach to architecting, designing and implementing security for workloads deployed on AWS, Microsoft Azure, Google Cloud, and IBM Cloud. The book discusses enterprise modernization trends and related security opportunities and challenges. You’ll understand how to implement identity and access management for your cloud resources and applications. Later chapters discuss patterns to protect cloud infrastructure (compute, storage and network) and provide protection for data at rest, in transit and in use. You’ll also learn how to shift left and include security in the early stages of application development to adopt DevSecOps. The book also deep dives into threat monitoring, configuration and vulnerability management, and automated incident response. Finally, you’ll discover patterns to implement security posture management backed with intelligence and automated protection to stay ahead of threats. By the end of this book, you’ll have learned all the hybrid cloud security patterns and be able to use them to create zero trust architecture that provides continuous security and compliance for your cloud workloads.
Table of Contents (18 chapters)
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1
Part 1: Introduction to Cloud Security
3
Chapter 2: Understanding Shared Responsibility Model for Cloud Security
4
Part 2: Identity and Access Management Patterns
7
Part 3: Infrastructure Security Patterns
10
Part 4: Data and Application Security Patterns
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13
Part 5: Cloud Security Posture Management and Zero Trust Architecture
14
Chapter 9: Managing the Security Posture for Your Cloud Deployments
15
Chapter 10: Building Zero Trust Architecture with Hybrid Cloud Security Patterns

Part 4: Data and Application Security Patterns

Data protection is a critical requirement when leveraging data and storage resources in multiple clouds. This part will cover patterns for protecting data at rest, in transit, and in use. Key management and certificate management are other key services used in the context of data protection. We will look at the emerging patterns of how these services can be leveraged effectively to allow enterprises to keep full control of their data in a shared responsibility model of cloud data protection. Threat modeling involves understanding the threats and attacks on an application that can lead to security incidents. Secure engineering ensures that products, applications, and services are built with strong security and privacy controls. Configuration and vulnerability management are other critical capabilities needed for security and compliance programs. This part discusses the automation aspects of how to shift left and integrate security in the...

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