A tailored course, built for your situation
Mastering ISO 42001 for Global Industrial Cybersecurity Leaders
A step-by-step implementation path for senior practitioners shaping AI governance in critical infrastructure.
$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.
Most AI governance efforts stall in policy debates, yours shouldn’t.
Who this is for
Global Industrial Cybersecurity Leaders
Who this is not for
Individuals seeking introductory AI or compliance training, or those not responsible for delivering implementable governance outcomes in industrial environments.
What you walk away with
- Translate ISO 42001 requirements directly into OT-ready control implementations
- Produce fully documented Statements of Applicability in under 10 days
- Reduce external audit preparation time by 50% using structured evidence templates
- Lead internal AI governance rollouts without dependency on central compliance teams
- Ship first-version AI control mappings in under 72 hours
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 in Industrial Contexts
Lay the foundation for AI governance built to withstand OT environments, regulatory scrutiny, and cross-jurisdictional audits.
12 chapters in this module
- Core purpose of ISO 42001
- Industrial AI use cases covered
- How it differs from ISO 27001
- Global adoption momentum
- Regulator expectations emerging
- Link to NIS2 and DORA
- Role of GICSP credential holders
- Common misconceptions to avoid
- Integration with existing OT policies
- Key clauses for critical infrastructure
- Mapping to COBIT domains
- Preparing leadership for change
Module 2. Initiating the Implementation Process
Start with intent-to-action planning that aligns stakeholders and avoids early drift.
12 chapters in this module
- Defining project scope clearly
- Identifying asset boundaries
- Stakeholder alignment framework
- Risk appetite calibration
- Board communication plan
- Internal audit liaison setup
- Vendor involvement boundaries
- Documentation standards
- Version control protocol
- Legal and jurisdictional fit
- Cross-border data movement
- Pilot program design
Module 3. Defining AI Asset Inventories
Build complete registers of AI systems operating in OT environments with traceable ownership and compliance status.
12 chapters in this module
- Identifying AI-enabled devices
- Classifying AI decision autonomy
- Ownership assignment models
- Interdependency mapping
- Control surface definition
- Data flow diagrams
- Version tracking approach
- Decommissioning triggers
- Audit readiness checklist
- Third-party AI components
- Open-source AI exposure
- Firmware-level AI detection
Module 4. Risk Assessment Alignment
Conduct AI-specific risk assessments that satisfy both technical and governance standards.
12 chapters in this module
- Threat modeling for AI systems
- Bias and drift identification
- Adversarial attack vectors
- Model confidence thresholds
- Failure mode analysis
- Impact scoring methodology
- Likelihood calibration
- Risk treatment options
- Acceptance criteria design
- Escalation pathways
- Documentation templates
- Review cycle planning
Module 5. Control Selection and Mapping
Map ISO 42001 controls precisely to existing OT security baselines and AI deployment patterns.
12 chapters in this module
- Clause-by-clause control review
- Matching to existing frameworks
- Gaps versus SOC 2
- Overlap with NIST CSF
- Customizing for OT latency
- Human-in-the-loop requirements
- Model monitoring controls
- Training data integrity
- Output validation mechanisms
- Fail-safe configuration
- Access control integration
- Incident response triggers
Module 6. Policy Development for AI Governance
Draft enforceable, concise policies that guide implementation and satisfy auditors.
12 chapters in this module
- AI usage authorization policy
- Model development standards
- Testing and validation rules
- Deployment approval workflow
- Monitoring frequency
- Bias detection protocol
- Drift response plan
- Human oversight thresholds
- Audit logging requirements
- Model version control
- Retraining triggers
- Decommissioning policy
Module 7. Technical Implementation Planning
Translate policies into field-deployable configurations across industrial systems.
12 chapters in this module
- Sensor-level AI controls
- Edge computing considerations
- Model update mechanisms
- Secure boot integration
- Trusted execution environments
- Model signing standards
- OTA update safety
- Fallback procedures
- Latency compliance
- Network segmentation
- Zero trust alignment
- Anomaly detection tuning
Module 8. Internal Audit Preparation
Assemble evidence packages that anticipate auditor questions and reduce back-and-forth.
12 chapters in this module
- Evidence collection plan
- Document retention periods
- Interview preparation
- Audit trail completeness
- Control testing samples
- Gap resolution tracking
- Remediation workflows
- Cross-functional sign-off
- Automated evidence tools
- Version reconciliation
- Third-party attestation
- Management representation
Module 9. Vendor and Third-Party Management
Ensure external AI providers meet ISO 42001 standards without slowing delivery.
12 chapters in this module
- Vendor pre-qualification
- Contractual obligations
- Right-to-audit clauses
- AI model transparency
- Training data provenance
- Model interpretability
- Penetration testing access
- Incident reporting SLAs
- Subprocessor oversight
- Compliance certification review
- Continuous monitoring
- Exit strategy planning
Module 10. Training and Awareness Programs
Equip teams to maintain compliance through operational changes and personnel shifts.
12 chapters in this module
- Role-based training paths
- AI ethics modules
- Incident response drills
- Drift detection training
- Model monitoring SOPs
- Escalation procedures
- Refresher cycle design
- Certification tracking
- Leadership engagement
- Cross-team knowledge transfer
- Lessons learned integration
- Feedback loop mechanisms
Module 11. Continuous Monitoring and Improvement
Build self-correcting systems that adapt to new threats and regulatory updates.
12 chapters in this module
- Model performance dashboards
- Bias and drift detection
- Automated retraining
- Anomaly alerting
- Patch management
- Log correlation
- Incident triage
- Root cause analysis
- Corrective action tracking
- Regulatory change monitoring
- Update prioritization
- Stakeholder reporting
Module 12. Certification and Beyond
Navigate the certification process and leverage ISO 42001 as a strategic asset.
12 chapters in this module
- Choosing a certification body
- Pre-certification gap assessment
- Documentation package
- On-site audit prep
- Corrective action response
- Surveillance audit readiness
- Scope expansion planning
- Marketing the achievement
- Competitive differentiation
- Client acquisition leverage
- Internal credibility boost
- Future framework alignment
How this maps to your situation
- When starting a new AI governance initiative
- During regulatory audit preparation
- After acquiring a new industrial client
- Before launching AI-driven OT automation
Before vs. after
Before
Manual, inconsistent approaches to AI governance that delay deployment and increase audit risk.
After
Repeatable, compliant processes that deliver audit-ready outputs in days, not months.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters total)
- 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 4 hours per module, designed for completion within 6 weeks alongside full-time responsibilities.
If nothing changes
Without a structured path, AI governance remains aspirational, leaving systems exposed, audits delayed, and leadership confidence eroded.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers field-tested methods tailored to industrial AI deployments and ISO 42001 implementation, backed by real-world OT SecOps experience.
Frequently asked
Is this course suitable for non-technical leaders?
Yes, it's designed for senior practitioners who lead implementation, regardless of technical background. Templates and playbooks are written for clarity and action.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to existing AI systems?
Yes, the course includes retrofitting guidance for legacy industrial AI deployments.
$199 one-time. Approximately 4 hours per module, designed for completion within 6 weeks alongside full-time responsibilities..
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