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Cloud Security Fundamentals
Building the Foundations for Secure Cloud Platforms
Jason Edwards (Author)
9781394377732, Wiley
Hardback, published 11 March 2026
464 pages
26.2 x 21 x 2.8 cm, 1.049 kg
A hands-on toolkit for securing contemporary cloud environments In Cloud Security Fundamentals: Building the Foundations for Secure Cloud Platforms, cybersecurity leader and educator, Jason Edwards, delivers a comprehensive guide to safeguarding data, applications, and infrastructure in the cloud. The author offers a complete walkthrough of cloud security, moving from foundational concepts to advanced, forward-looking practices. The book is filled with practical examples, hands-on guidance, and lessons drawn from real-world cloud security incidents and breaches. It equips readers with the tools and knowledge they need to defend against threats in cloud environments and how to understand coming developments in cloud technology that will impact organizations in all industries. Inside the book: Perfect for cloud security professionals, IT managers, and DevOps professionals, Cloud Security Fundamentals will also benefit system administrators, compliance and risk officers, consultants, auditors, and technology students in a variety of fields who require a foundational understanding of cloud security concepts.
Preface xiii Acknowledgments xv 1 The Strategic Importance of Cloud Security 1 Cloud as the Default Operating Model 1 Business Drivers and Return on Security Investment 3 Evolving Risk Landscape in Cloud Contexts 5 Misconceptions and Shared Responsibility Realities 7 Cloud Security as a Business Enabler 9 Strategic Alignment Between Security and Enterprise Goals 11 Conclusion 13 Recommendations 14 2 Foundations of Cloud Computing 15 Historical Roots and Computing Paradigms 15 Core Cloud Service Models 16 Deployment Models 18 Enabling Technologies: APIs, Virtualization, and Containers 21 IaC and Automation Foundations 23 Cloud Economic Models and Abstraction Layers 25 Cloud Provider Ecosystems and Market Differentiation 27 Conclusion 29 Recommendations 29 3 The Modern Cloud Security Landscape 31 Emerging Threats in Cloud Environments 31 Cloud-specific Vulnerabilities and Attack Vectors 33 Deep Dive: Shared Responsibility Model by Service Tier 35 Limitations of Legacy Security Models in Cloud Contexts 37 Security Investment Patterns and Innovation Drivers 39 Cloud Security Maturity and Adoption Models 41 Conclusion 44 Recommendations 44 4 Secure Cloud Architecture and Design 47 Secure-by-design Principles for Cloud Infrastructure 47 Identity, Trust Boundaries, and Access Zones 49 Resilience, Redundancy, and High-availability Design 50 Secure Networking and Micro-segmentation Models 52 Data Flow Mapping, Isolation, and Asset Tiering 54 Avoiding Cloud Security Anti-patterns 57 Compliance-ready Architectural Planning 59 Conclusion 61 Recommendations 62 5 Identity and Access Management (IAM) in the Cloud 65 Identity as the Security Perimeter 65 Authentication Protocols and Adaptive Techniques 66 Authorization Models: RBAC, ABAC, and Fine-grained Access 68 Privileged Access Management (PAM) at Cloud Scale 70 Lifecycle Automation for Identity Provisioning and Decommissioning 72 IAM Risks: Misconfigurations, Sprawl, and Abuse 74 Foundational IAM Architecture and Operational Best Practices 76 Conclusion 79 Recommendations 79 6 Securing Data in Cloud Environments 81 Data Classification and Inventory Across Cloud Assets 81 Encryption in Transit, at Rest, and in Use 83 Key Management: HSMs, KMS, Rotation, and Escrow 85 Data Residency, Sovereignty, and Jurisdictional Compliance 87 Backup, Archival, and Disaster Recovery for Data 89 DLP and Leak Surface Reduction 91 Conclusion 93 Recommendations 93 7 Monitoring, Detection, and Incident Management 95 Foundations of Logging and Security Telemetry in the Cloud 95 Threat Detection: Real-time Event Correlation and Context 97 Security Monitoring Across Multicloud Architectures 99 Incident Detection and Early Escalation Strategies 101 Automation and Orchestration in Incident Response 103 Metrics, KPIs, and Threat Intelligence Integration 104 Post-Incident Review and Root Cause Analysis 107 Conclusion 109 Recommendations 110 8 Security Automation and DevSecOps 113 DevSecOps Principles and Security Integration Models 113 Secure CI/CD Pipeline Design and Control Points 115 IaC Security and Policy-as-Code 117 Managing Secrets in Automated Development Workflows 119 Automating Compliance Validation in Build Pipelines 120 Governance Enforcement Through DevSecOps Tooling 123 Conclusion 124 Recommendations 125 9 Advanced Architectures and Specialized Domains 127 Container Security and Kubernetes Hardening 127 Serverless and Event-driven Architecture Security 129 API Security: Design, Authentication, and Rate Limiting 131 Supply Chain and Dependency Risk in Cloud Applications 134 Implementing Zero Trust in Cloud-native Environments 136 Security for Edge, IoT, and Distributed Cloud Models 138 Resilience Engineering and Chaos Security Practices 140 Conclusion 143 Recommendations 143 10 Cloud Governance, Risk, and Compliance (GRC) 145 Foundations of Cloud Governance Structures 145 Enterprise Cloud Risk Management Frameworks 148 Mapping Regulatory Frameworks to Cloud Controls 150 Cloud Audit Preparedness and Evidence Collection 152 SaaS and Third-party Governance Risk Strategies 154 Conclusion 157 Recommendations 157 11 Cloud Hardening and Configuration Management 159 Core Principles of Secure Configuration and Hardening 159 Baseline Standards for Operating Systems and VMs 161 Container and Kubernetes Configuration Security 164 Hardening PaaS and Managed Cloud Services 165 Endpoint, Client, and Remote Access Configuration 167 IaC for Baseline Enforcement 170 Continuous Validation and Drift Detection Workflows 172 Conclusion 175 Recommendations 175 12 Cloud Security Testing and Validation 177 Security Testing Methodologies in Cloud Contexts 177 Continuous Vulnerability Assessment and Remediation 179 Cloud-aware Penetration Testing and Provider Constraints 181 Security Testing in DevSecOps Pipelines (SAST/DAST/IAST) 183 External Testing, Bug Bounties, and Researcher Coordination 186 Purple Teaming, Simulated Attacks, and Threat-informed Defense 187 Conclusion 190 Recommendations 190 13 Secrets Management and Sensitive Asset Protection 193 Defining Secrets and Sensitive Credentials in the Cloud 193 Secure Secrets Lifecycle: Creation to Deletion 195 Centralized vs. Decentralized Secrets Management Models 197 Secrets Management in DevOps and CI/CD Workflows 199 JIT Access and Privileged Credential Rotation 201 Automating Secrets Management at Scale 203 Conclusion 205 Recommendations 205 14 Cloud Network Security 207 Virtual Networking Foundations and Isolation Models 207 Network Segmentation, Routing, and Secure Zones 209 Cloud Firewall Configuration and Access Control Enforcement 211 Web Application Firewalls (WAF) and API Gateway Security 214 Secure Remote Access and Hybrid Connectivity Architectures 216 Traffic Logging, Packet Inspection, and Anomaly Detection 218 Distributed Denial of Service (DDoS) Protection, SDN, and Edge Network Security Techniques 221 Conclusion 223 Recommendations 223 15 Identity Federation and Multicloud Access Integration 225 Identity Federation Concepts and Cross-domain Trust Models 225 Federation Protocols: SAML, OAuth, and OIDC 226 Federation Architecture in Multicloud and Hybrid Environments 229 Designing Secure and Scalable SSO Systems 231 Securing Federated Sessions, Assertions, and Tokens 232 Governance, Logging, and Compliance for Federated Access 234 Conclusion 236 Recommendations 237 16 Serverless and Microservices Security 239 Core Concepts of Serverless and Microservices Architectures 239 Shared Responsibility in Serverless Execution Models 241 Authentication and Authorization Across Microservices 242 API Gateway Protection and Request Validation Techniques 244 Securing Events, Queues, and Triggers in Asynchronous Systems 247 Secrets and Data Handling in Ephemeral Execution Environments 250 Runtime Monitoring and Isolation for Distributed Workloads 252 Conclusion 254 Recommendations 255 17 Data Privacy, Residency, and Protection Obligations 257 Privacy Fundamentals in Cloud Contexts 257 Data Residency, Localization, and Jurisdictional Compliance 259 Applying Privacy by Design in Cloud Architectures 261 Minimization, Pseudonymization, and Retention Strategies 263 Subject Access Requests and Erasure Protocols 265 Privacy Risk Assessment and Breach Notification Planning 267 Conclusion 270 Recommendations 270 18 Cloud Compliance and Regulatory Readiness 273 Regulatory Scope and Interpretation for Cloud Services 273 Mapping Frameworks: FedRAMP, ISO 27017, CSA CCM, etc. 275 Navigating Multi-Jurisdictional and Industry-specific Regulations 277 Automated Compliance Monitoring and Control Validation 279 Evidence Collection, Documentation, and Control Traceability 281 Cloud Vendor Compliance Oversight and Attestation Review 284 Strategic Compliance Roadmapping and Governance Alignment 286 Conclusions 288 Recommendations 289 19 Cloud Risk Management and Enterprise Integration 291 Identifying and Categorizing Cloud Risk Vectors 291 Embedding Cloud Risk into Enterprise Risk Frameworks 293 Risk Quantification, Prioritization, and Response Planning 295 Third-party, SaaS, and Supply Chain Risk Management 297 Shadow IT, Unmanaged Assets, and Risk Discovery Techniques 299 Conclusion 302 Recommendations 302 20 Cloud Monitoring, Logging, and Detection 305 Principles of Observability in Cloud Infrastructure 305 Centralized Logging Strategies Across Providers 306 Real-Time Detection and Correlation with Native and Third-Party Tools 308 Cloud SIEM, SOAR, and Automation Integration 310 Behavioral Analytics and Anomaly Detection in Cloud Workloads 312 Alert Tuning, Prioritization, and False Positive Reduction 314 Maturity Models for Telemetry, Visibility, and Incident Readiness 316 Conclusion 318 Recommendations 319 21 Cloud Security Metrics and Performance Reporting 321 Aligning Metrics with Business and Security Objectives 321 Operational and Technical Metrics for Cloud Security Operations 323 Compliance, Audit, and Control Effectiveness Indicators 325 Tracking Remediation, Drift, and Security Posture Trends 327 Maturity Models and Continuous Metrics Optimization 329 Conclusion 331 Recommendations 331 22 Threat Intelligence and Attack Surface Management 333 Strategic Role of Threat Intelligence in Cloud Security 333 Discovering and Mapping the Cloud Attack Surface 335 Curating and Consuming External Intelligence Feeds 336 Threat Modeling, Attribution, and Prioritization 338 Integrating Threat Intelligence into Detection and Response 340 Monitoring Internal and External Attack Vectors Continuously 343 Collaborative Intelligence Sharing and Operational Integration 345 Conclusion 348 Recommendations 348 23 Incident Response in Cloud Environments 351 Cloud-Aware Incident Response Planning and Governance 351 Role Definitions, Escalation Protocols, and Communication Plans 353 Detection, Validation, and Incident Categorization 355 Containment, Eradication, and Cloud-Scale Recovery 357 Forensic Considerations and Evidence Preservation 359 Post-Incident Review, RCA, and Corrective Actions 361 Integration of IR Playbooks with Cloud Automation and Orchestration 363 Conclusion 365 Recommendations 365 24 Cloud Forensics and Legal Considerations 367 Foundations of Digital Forensics in Cloud Contexts 367 Forensic Readiness: Controls, Logging, and Preservation Practices 369 Integration of Forensics into Security Operations Centers (SOCs) and IR 371 Jurisdiction, Chain of Custody, and Legal Admissibility 373 Collaborating with Cloud Providers During Investigations 375 Regulatory Expectations for Investigations and Reporting 377 Emerging Tools, Standards, and Future Forensic Models 380 Conclusion 382 Recommendations 382 25 Disaster Recovery and Business Continuity in the Cloud 385 Strategic Foundations of Cloud DR and BCP Planning 385 Cloud DR Models: Backup, Pilot Light, Warm Standby, and Active-Active 387 Identifying Critical Assets and Defining Recovery Objectives 390 Automated Testing and Validation of DR Plans 392 Ensuring Service Continuity for Distributed Cloud Systems 393 Integration of DR with Resilience, Chaos Engineering, and Automation 396 Maintaining Operational Continuity During Service Disruptions or Failures 398 Conclusion 401 Recommendations 401 26 AI-driven Cloud Security and Automation 403 Core Concepts of AI and ML in Cloud Security 403 AI-enhanced Threat Detection and Behavioral Analysis 405 Predictive Risk Modeling and Security Forecasting 407 Autonomous Incident Response and Workflow Optimization 409 AI-augmented Monitoring and Security Visibility 411 Conclusions 413 Recommendations 414 27 Quantum-Ready Security for Cloud Infrastructures 417 Quantum Computing Fundamentals and Cloud Implications 417 Cryptographic Vulnerabilities and Quantum Threat Timelines 419 PQC: Transition Strategies 421 QKD and Next-Gen Encryption Models 424 Inventorying and Replacing Classical Cryptographic Dependencies 426 Conclusion 427 Recommendations 428 28 Securing Cloud-integrated IoT and Edge Computing 431 Defining Cloud–Edge and IoT Integration Models 431 Unique Threats in Edge and Distributed Environments 433 Lifecycle Management for Devices and Firmware Security 435 Hardening Edge Infrastructure and Protecting Data Flows 437 Secure Connectivity Between Cloud, Edge, and Devices 439 Conclusion 442 Recommendations 442 Index 445
Subject Areas: Computer networking & communications [UT]
