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Cybersecurity Auditing : Principles, Practices, and Frameworks.
- Format:
- Book
- Author/Creator:
- Edwards, Jason.
- Language:
- English
- Subjects (All):
- Computer security--Auditing.
- Computer security.
- Physical Description:
- 1 online resource (593 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Newark : John Wiley & Sons, Incorporated, 2026.
- Summary:
- Practical guide to cybersecurity controls, systems, programs, and management This book is a comprehensive, field-tested guide to the full spectrum of cybersecurity auditing, enabling readers to assess, evaluate, and improve security controls across today's complex IT environments.
- Contents:
- Cover
- Half Title Page
- Title Page
- Copyright
- Contents
- Preface
- Acknowledgments
- About the Companion Website
- Chapter 1: The Role of Audit in Security Governance, Risk, and Compliance
- Assurance Mandate Within the Three Lines Model
- Audit Charter, Authority, and Independence Boundaries
- Governance Interfaces: Board/Audit Committee, CISO, Legal, Privacy
- Policy-Standards-Procedures Architecture (Audit View)
- GRC Architecture: Control Library and Risk Register
- Exception and Waiver Governance
- Conclusion
- Auditor Recommendations
- Chapter Questions
- Chapter 2: Security Standards and Regulations
- Auditor's Use of Frameworks
- Common Control Set and Cross-framework Traceability
- Multi-regime Scoping: Entities, Systems, and Data Classes
- Equivalency and Mapping Rules: Sufficiency and Residual Gaps
- Portfolio Evidence Packs and Evidence Reuse
- Inherited/Shared Controls and Third-party Reliance (SOC, Certifications)
- Deviations and Compensating Controls: Carve-outs and Documentation
- Chapter 3: Risk Assessment and Control Design for Modern Systems
- Cyber Risk Taxonomy and Materiality
- Control Design Choices
- Traceability
- Design Reviews and Auditor Boundaries
- Integration with Enterprise Architecture and Change Governance
- Design Documentation: Approvals, RACI, and Version Control
- Chapter 4: Evidence, Sampling, and Testing Techniques
- Evidence Quality and Chain of Custody
- Building Populations and Defensible Sampling Strategies
- Test Types: Design vs. Operating Effectiveness
- Inspection and Re-performance Procedures
- Analytics-assisted Testing and Tooling Considerations
- Period Coverage, Timing, and Frequency of Tests.
- Workpaper Standards and Reviewability
- Chapter 5: Auditor Ethics, Independence, and Professional Judgment
- Code of Ethics and Objectivity in Cyber Audits
- Independence Threats and Safeguards
- Confidentiality, Data Handling, and Sensitive Evidence
- Professional Skepticism and Cognitive Bias Awareness
- Forming Conclusions Under Uncertainty and Incomplete Evidence
- Managing Management Pressure and Disagreement
- Documenting Judgment
- Chapter 6: Identity and Access Management
- Identity Life cycle: Joiner-Mover-Leaver and Sources of Truth
- Authentication Controls: MFA, SSO, Federation, and Risk-based Access
- Privileged Access: PAM, Break-glass, Session Monitoring
- Service Accounts, Nonhuman Identities, and Secrets Handling
- Evidence Locations: IdP, PAM, HRIS, Ticketing, and Logs
- Chapter 7: Network and Perimeter Security
- Network Segmentation and Trust Zones
- Firewall and Egress Controls (Allowlists, Rule Hygiene, Change History)
- Secure Edge/SASE and Remote Access (VPN/ZTNA Posture)
- DNS, Web Proxies, and URL Filtering (Policy Alignment)
- Intrusion Prevention/Threat Intel at the Edge
- Device/Config Management: Baselines, Backups, and Drift
- Evidence Locations
- Chapter 8: Application and API Security/CI-CD
- SDLC Governance and "Policy as Code
- Code and Dependency Scanning: SAST, SCA, and Secrets Detection
- Dynamic Testing and API Security: DAST, AuthN/AuthZ, and Rate Limits
- Infrastructure as Code and Environment Hardening
- Release Governance: Change Approval Gates and Rollback Paths
- Evidence Locations: Repos, Pipelines, Registries, and API Gateways.
- Conclusion
- Chapter 9: Cloud and SaaS Security
- Shared Responsibility and Tenant Scope (IaaS/PaaS/SaaS)
- Identity Boundaries in Cloud: Roles, Policies, and SCPs/Guardrails
- Baseline Configurations
- Logging/Telemetry in Cloud and SaaS
- Data-plane Protections: Keys, Secrets, and Segmentation
- Evidence Locations: CSP Config State, Org Policies, SaaS Admin Exports
- Chapter 10: Data Protection
- Data Classification and Handling Requirements
- Encryption in Transit and at Rest
- Key Management: Generation, Rotation, Custody, and Separation of Duties
- Hardware/Cloud KMS/HSM Controls and Access Boundaries
- Tokenization, Masking, and DLP Policy Design
- Data Flow Mapping and High-risk Stores/Paths
- Evidence Locations: KMS/HSM Logs, Key Policies, DLP Events, and Configs
- Chapter 11: Logging, Monitoring, and Detection
- Log Coverage Model: Sources, Depth, and Retention Targets
- Integrity and Tamper Resistance
- Detection Content Quality: Precision/Recall, Tuning, and Suppression
- Use-case Catalog and Ownership
- Alert Triage Interfaces and Escalation Paths
- Telemetry Gaps and Compensating Signals
- Evidence Locations: SIEM/Log Platform, Detection Repositories, and Tuning Records
- Chapter 12: Incident Response and Crisis Management
- IR Operating Model
- Detection Handoffs and Case Life Cycle (from Alert to Closure)
- Forensics and Evidence Handling (Chain of Custody)
- Communications and Regulatory Notifications
- Backup/Restore Readiness and BCP/DR Alignment (RTO/RPO)
- Tabletop Exercises and Post-incident Learning.
- Evidence Locations: IR Plans, Case Systems, Forensic Repositories, and DR Reports
- Chapter 13: Vulnerability Management and Pen Test Oversight
- Asset Coverage and Scan Cadence
- Prioritization: KEV, EPSS, Exploitability, and Business Context
- Remediation SLAs, Exceptions, and Risk Acceptance
- Validation of Fixes and Regression Controls
- Penetration Testing Governance: Independence, Scope, and Reporting
- Findings Life cycle and Cross-team Accountability
- Evidence Locations: Scanners, Ticketing, Exception Registers, and Pen Test Artifacts
- Chapter 14: Third-party and Supply-chain Security
- Vendor Risk Segmentation and Due Diligence Depth
- Contractual Security Clauses and Right-to-audit/Assurance Rights
- Assurance Artifacts: SOC Reports, SIG/CAIQ, and Certifications
- Continuous Monitoring: Questionnaires, Signals, and Triggers
- Software Supply Chain: SBOM, Dependency Risk, and Build Provenance
- Remediation and Offboarding/Exit Strategies
- Evidence Locations: Procurement/TPRM Systems, Contracts, and Assurance Repos
- Chapter 15: OT/ICS and Critical Infrastructure Audits
- Safety and Availability Constraints (Risk Trade-offs)
- Zones and Conduits: Network Segmentation for ICS
- Allowlist/Whitelist Controls and Remote Access Methods
- Patch/Change Realities: Compensating Controls and Windows
- Monitoring and Physical/Environmental Dependencies
- Regulatory and Standards Context
- Evidence Locations: ICS Diagrams, Change Logs, Site Procedures, and Operator Logs
- Chapter 16: Sector Overlays (Financial, Healthcare, Public.
- Overlay Scoping: Identifying In-scope Systems, Data, and Obligations
- Financial Services (FFIEC/GLBA): Controls Emphasis and Artifacts
- Healthcare (HIPAA/HITRUST): Safeguards, Mappings, and Evidence Nuances
- Public Sector (FedRAMP, State/Local): Authorizations and Continuous Monitoring
- PCI DSS: Prescriptive Requirements and Segmentation/Scope Control
- Reconciling Conflicts: Precedence Rules and Documentation
- Evidence Locations: Regulator-specific Workpapers, ATO Packages, ROC/SAQ
- Chapter 17: Automation, Continuous Auditing, and Advanced Analytics
- Objectives and Scope of Automated Assurance
- Data Sources and Pipelines (Lineage, Quality, and Access Controls)
- Job Design and Governance (Change Control, Versioning, and Approvals)
- Automated Control Tests: Types, Frequencies, and Coverage Models
- Accuracy and Reliability: Ground-truthing, Thresholds, and Drift in Tests
- Dashboards and Variance Analysis (Interpreting Results and Triggering Follow-ups)
- Chapter 18: AI Threat Modeling and Attack Surfaces
- Scoping AI Assets: Models, Datasets, Prompts, Tools, and Agents
- Threat Modeling Methods for AI Systems (STRIDE/ATT&
- CK Extensions)
- Core Attack Surfaces: Prompt Injection, Data Leakage, and Model Theft/Extraction
- Data Integrity Risks: Poisoning, Backdoors, and Training Set Governance
- Abuse Paths via Integrations: Plugins, Connectors, and Tool Invocation
- Control Objectives and Risk Acceptance Criteria for AI Systems
- Documentation and Traceability: from Threat to Control to Evidence
- Chapter 19: Secure MLOps and Model/Endpoint Controls
- Supply Chain Integrity: Artifacts, Registries, Signing, and Provenance.
- Environment Hardening: Build/Train/Serve Isolation and Access Boundaries.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9781394423057
- OCLC:
- 1601984277
- Publisher Number:
- CIPO000402698
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