A tailored course, built for your situation
Sources and specific examples on hand when peers push back
Build unshakable reasoning for ISO 27001 control decisions
Who this is for
Senior technical specialist in data and AI governance, working across compliance frameworks and partner ecosystems
Who this is not for
Entry-level practitioners, auditors seeking certification prep, or teams looking for tool-specific training
What you walk away with
- Cite authoritative sources for every ISO 27001 control decision
- Respond confidently to technical pushback with real-world examples
- Structure defensible risk treatment plans using auditor-accepted patterns
- Differentiate between mandatory requirements and organisational discretion in documentation
- Build reusable justification templates for recurring control discussions
The 12 modules (with all 144 chapters)
- Control A.5.1 purpose
- Source documents for policy requirements
- Historical context of ISO 27001
- How NIST CSF maps to control A.5.1
- Common misapplications of information security policy
- When to invoke organisational discretion
- Case example banking sector policy
- Case example healthcare implementation
- Regulator expectations on policy review cycles
- Documenting policy approval chains
- Linking policy to technical controls
- Walkthrough first policy draft
- Creating source-backed control tables
- Citing ISO IEC 27001 correctly
- Integrating NIST CSF crosswalks
- Using COBIT 5 for governance alignment
- Mapping to GDPR Article 32
- Cross-referencing SOC 2 criteria
- Documenting rationale for exclusions
- Version control for mappings
- Peer validation checklist
- Common gaps in third-party mappings
- How auditors assess completeness
- Template for living control register
- Defining information boundaries
- Risk assessment for cloud data flows
- Jurisdictional implications on scope
- When to include AI training data
- Excluding development environments
- Handling shadow IT systems
- Using asset classification to bound scope
- Documenting cloud provider responsibilities
- Boundary walkthrough enterprise SaaS
- Boundary walkthrough hybrid AI pipeline
- Stakeholder alignment on scope
- Auditor questions on scope creep
- Structure of a defensible treatment plan
- Citing organisational risk appetite
- Using ISO 27005 for methodology
- Accepting risk with documentation
- Transferring liability to vendors
- Mitigation timelines with milestones
- Escalating unresolved risks
- Linking treatments to control objectives
- Case study financial services
- Case study healthcare AI system
- Handling regulator follow-ups
- Versioning treatment plans
- What auditors look for in logs
- Sampling methods for access reviews
- Retention periods by control type
- Proving automated monitoring works
- Documenting manual checks
- Evidence for cloud-native systems
- AI model access logs
- Encryption key review records
- Penetration test timing expectations
- Third-party assessment inclusion
- Handling missing evidence gracefully
- Template evidence index
- When exclusion is justified
- Documenting architectural constraints
- Linking exclusions to risk register
- Avoiding blanket exclusions
- Auditor pushback patterns
- Sector-specific exclusion norms
- Cloud provider responsibility matrix
- AI inference system boundaries
- Data anonymisation as control
- Legal basis for processing
- Compliance overlap with other frameworks
- Revisiting exclusions annually
- Challenge we don't store that data
- Challenge encryption breaks analytics
- Challenge AI models can't be logged
- Challenge we're already compliant
- Challenge this control slows deployment
- Challenge vendor handles it
- Challenge we're too agile for this
- Challenge we use zero trust
- Rebuttal pattern referencing standards
- Rebuttal pattern showing risk
- Rebuttal pattern citing peer orgs
- Template response bank
- Template A.6.1 access review
- Template A.8.1 data classification
- Template A.9.1 user provisioning
- Template A.12.4 logging standards
- Template A.13.1 network security
- Template A.14.1 secure development
- Template A.18.1 compliance evidence
- Version control for templates
- Governance for template updates
- Training partners to use templates
- Metrics on template adoption
- Reducing review cycles with templates
- Explaining A.10.1 to data scientists
- Framing A.12.4 for DevOps
- Translating A.13.1 for SREs
- Aligning A.14.1 with MLOps
- Mapping A.8.2 to data lineage
- Conveying A.18.1 to legal
- Using architecture diagrams
- Avoiding security jargon
- Building trust with engineering leads
- Running joint control workshops
- Feedback loops with partners
- Improving cross-functional clarity
- Common auditor follow-up triggers
- Timing expectations for responses
- Assembling response packets
- Citing policy review frequency
- Showing continuous improvement
- Handling unexpected scope changes
- Updating statements of applicability
- Demonstrating management review
- Linking incidents to controls
- Proving third-party oversight
- Using trend data in responses
- Reducing follow-up cycles
- Annual review checklist
- Tracking control relevance
- Updating mappings after incidents
- Versioning control documentation
- Onboarding new team members
- Handling leadership transitions
- Monitoring emerging threats
- Benchmarking against peers
- Updating templates quarterly
- Auditing your own justifications
- Improving response latency
- Building organisational muscle
- Copying control packages safely
- Adapting for regulated sectors
- Customising for hybrid environments
- Partner training on justifications
- Standardising response formats
- Creating internal certification
- Measuring adoption across teams
- Reducing external review time
- Increasing win rate on compliance
- Documenting cross-project lessons
- Building reputation externally
- Sustaining quality at scale
How this maps to your situation
- Responding to peer challenge on control relevance
- Defending scope in a joint audit
- Justifying risk acceptance in AI deployment
- Creating a reusable control package for partners
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, with self-paced access and bookmarking.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses exclusively on building defensible, source-backed reasoning for ISO 27001 controls, tailored to technical specialists in data and AI roles. No certification prep, no tool-specific workflows, no abstract theory.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.