Book Image

Hybrid Cloud Security Patterns

By : Sreekanth Iyer
Book Image

Hybrid Cloud Security Patterns

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)
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
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

Data in use

Let’s get started!

Problem

How do I protect data in use?

Context

Today, data is often encrypted at rest in storage and in transit across the network, but applications and the sensitive data they process are vulnerable to unauthorized access and tampering at runtime. Most governments and highly regulated industries that deal with sensitive and Personal Identifiable Information (PII) are concerned about protecting their data while in use. This is required from regulation requirements as well as from data privacy standards. This pattern discusses the way to leverage technologies and systems to protect the security and confidentiality of such customer data.

Solution

Confidential computing, as shown in the following diagram, protects data and applications by running them in secure enclaves that isolate the data and code to prevent unauthorized access, even when the compute infrastructure is compromised. While confidential computing is revolutionizing...