A tailored course, built for your situation
Influence in technical control decisions with ISO 42001
A tailored course for senior cybersecurity practitioners shaping AI governance frameworks
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Who this is for
Senior cybersecurity specialist influencing technical governance and control frameworks in defense or government-contracted environments
Who this is not for
Entry-level compliance staff, auditors focused only on checklist adherence, or practitioners outside of technical control design and implementation
What you walk away with
- Lead internal conversations on AI governance with documented control rationale backed by ISO 42001
- Anticipate peer review challenges and structure arguments that gain consensus
- Shape vendor evaluation criteria using ISO 42001 control benchmarks
- Document defensible control mappings that stand up to technical scrutiny
- Become the go-to practitioner for cross-functional teams navigating AI compliance
The 12 modules (with all 144 chapters)
Module 1. Positioning ISO 42001 in AI governance
Understand how ISO 42001 aligns with current AI risk frameworks and where it creates technical leverage.
12 chapters in this module
- Defining AI governance scope
- ISO 42001 vs legacy frameworks
- Controlled AI deployment lifecycle
- Mapping principles to practice
- Governance in technical decisions
- AI risk classification tiers
- Human oversight mandates
- Documentation expectations
- Audit readiness markers
- Vendor alignment signals
- Internal adoption timelines
- Stakeholder mapping
Module 2. Control mapping fundamentals
Translate ISO 42001 clauses into specific technical and procedural controls.
12 chapters in this module
- Clause-by-clause breakdown
- Control ownership assignment
- Evidence requirements
- Technical implementation paths
- Procedural documentation
- Automated control checks
- Control dependency mapping
- Version tracking methods
- Cross-reference standards
- Integration with SOC 2
- Mapping to NIST CSF
- Audit trail design
Module 3. Designing AI oversight structures
Build governance models that scale with AI system complexity and deployment velocity.
12 chapters in this module
- Oversight committee roles
- Escalation pathways
- Change control integration
- Model validation frequency
- Bias detection protocols
- Incident response alignment
- Human-in-the-loop design
- Audit logging standards
- Third-party model oversight
- Red team integration
- Fail-safe mechanisms
- Documentation retention
Module 4. Vendor evaluation with ISO 42001
Apply ISO 42001 to assess AI vendors and shape procurement criteria.
12 chapters in this module
- Vendor questionnaire design
- Control implementation proof
- Transparency benchmarks
- Model documentation depth
- Training data lineage
- Bias mitigation evidence
- Security posture alignment
- Incident reporting terms
- Right-to-audit clauses
- Subprocessor oversight
- Contractual integration
- Exit strategy requirements
Module 5. Peer review and consensus building
Master the language and artifacts to gain buy-in from technical peers and cross-functional leads.
12 chapters in this module
- Anticipating pushback
- Framing risk tradeoffs
- Evidence-backed proposals
- Consensus workflows
- Documentation standards
- Version-controlled artifacts
- Review cycle timing
- Feedback integration
- Escalation thresholds
- Stakeholder alignment
- Meeting facilitation
- Decision logging
Module 6. Control implementation patterns
Adapt ISO 42001 controls to diverse AI system architectures and deployment models.
12 chapters in this module
- On-premise deployment
- Cloud-hosted AI services
- Hybrid architectures
- Edge AI control design
- API security patterns
- Model monitoring tools
- Access control integration
- Encryption in transit
- Model integrity checks
- Output validation
- Feedback loop security
- Drift detection
Module 7. Audit preparation and response
Prepare for ISO 42001 audits with precision and confidence using reusable artifacts.
12 chapters in this module
- Audit scope definition
- Evidence collection plan
- Control testing methods
- Gap identification
- Remediation tracking
- Interview preparation
- Document organization
- Timeline management
- Regulator communication
- Follow-up handling
- Corrective action plans
- Audit closure
Module 8. Strategic AI governance roadmap
Develop a phased, organization-wide AI governance adoption plan.
12 chapters in this module
- Maturity assessment
- Quick win identification
- Resource planning
- Leadership alignment
- Change management
- Training rollout
- Pilot programs
- Scaling strategy
- Budget integration
- Stakeholder reporting
- Performance metrics
- Continuous improvement
Module 9. Cross-functional influence
Position yourself as the central node in AI governance discussions across teams.
12 chapters in this module
- Building credibility
- Interpreting policy for engineers
- Translating control needs
- Facilitating workshops
- Decision authority mapping
- Conflict resolution
- Escalation management
- Influence without authority
- Documentation standards
- Meeting leadership
- Feedback integration
- Trust building
Module 10. Maintaining governance over time
Ensure AI governance remains effective as systems evolve and new risks emerge.
12 chapters in this module
- Change tracking
- Version control
- Model revalidation
- Drift monitoring
- Incident review
- Policy updates
- Stakeholder communication
- Audit trail maintenance
- Governance review frequency
- Lessons learned
- Process refinement
- Succession planning
Module 11. Documenting for defensibility
Create clear, auditable records that withstand technical and regulatory scrutiny.
12 chapters in this module
- Control justification
- Evidence standards
- Versioned documentation
- Change rationale
- Decision logs
- Review records
- Audit trails
- Access controls
- Retention policies
- Searchability
- Traceability
- Export formats
Module 12. Becoming the go-to practitioner
Establish yourself as the trusted expert on AI governance within your organization.
12 chapters in this module
- Thought leadership
- Mentorship roles
- Internal training
- Policy drafting
- External engagement
- Conference participation
- Knowledge sharing
- Documentation ownership
- Influence expansion
- Career trajectory
- Reputation building
- Legacy planning
How this maps to your situation
- When designing new AI systems
- During vendor selection cycles
- Preparing for internal or external audits
- Leading cross-functional governance discussions
Before vs. after
Before
Navigating AI governance with fragmented control understanding and limited influence in key decisions
After
Leading technical control decisions with documented ISO 42001 mappings and established cross-functional credibility
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, designed for completion over 4-6 weeks with flexible pacing.
If nothing changes
Without clear governance, AI initiatives risk delays, audit findings, or technical debt that undermines long-term security and compliance.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to senior practitioners shaping technical AI governance, with ISO 42001-specific control mappings and real-world decision frameworks used in defense and government-contracted environments.
Frequently asked
Who is this course for?
Senior cybersecurity specialists influencing technical control design, peer review, and AI governance frameworks in complex environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover other standards?
The focus is ISO 42001, with references to NIST CSF, SOC 2, and COBIT where they intersect with AI governance.
$199 one-time. Approximately 3 hours per module, designed for completion over 4-6 weeks with flexible pacing..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours