A tailored course, built for your situation
Mastering ISO 42001 for Senior Information Security and Privacy Leaders
Build authority in AI governance through structured implementation aligned with global standards
$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 initiatives stall due to unclear ownership and fragmented standards alignment
The situation this course is for
Even experienced teams struggle to consolidate control over AI governance when mandates are shared or ambiguous. Practitioners with deep domain knowledge often defer to external advisors or wait for executive mandates before acting.
Who this is for
Senior information security and privacy leader with 20+ years in risk, compliance, and governance roles, advising at the executive level
Who this is not for
Individuals seeking entry-level compliance training or those without decision-influencing capacity in governance matters
What you walk away with
- Own the full scope of AI governance decisions within your current role
- Deploy ISO 42001 frameworks aligned to client risk profiles and regulatory expectations
- Lead cross-functional alignment without escalation bottlenecks
- Produce auditable governance artefacts that stand up to external review
- Shape internal policy and vendor governance tracks independently
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in Enterprise AI Governance
Establish core principles of the ISO 42001 standard and how they apply to real-world AI deployments across regulated industries. Understand scope definition and boundary-setting for governance frameworks.
12 chapters in this module
- Introduction to ISO 42001 and AI systems
- Mapping governance to AI lifecycle stages
- Scope definition for client engagements
- Key differences from ISO 27001
- Integration with existing risk frameworks
- Role of top management in AI governance
- Defining AI system boundaries
- Applicability of external regulations
- Baseline requirements for certification
- Stakeholder identification and mapping
- Documentation expectations
- First steps in framework design
Module 2. Risk Assessment Models for AI Systems
Learn to structure repeatable risk assessments that identify AI-specific threats and compliance exposures. Apply models that align with NIST and COBIT while meeting ISO 42001 requirements.
12 chapters in this module
- AI-specific risk identification
- Hazard classification framework
- Impact severity scoring
- Likelihood assessment techniques
- Risk appetite alignment
- Third-party AI risk profiling
- Bias and fairness evaluation
- Transparency risk factors
- Explainability thresholds
- Data lineage risk mapping
- Model drift monitoring triggers
- Risk treatment planning
Module 3. Governance Structure Design and Accountability
Build organizational models for AI governance that clarify ownership, decision rights, and escalation paths. Design roles and responsibilities that scale across multi-client portfolios.
12 chapters in this module
- Defining governance bodies
- Assigning accountability roles
- Decision authority mapping
- Escalation protocols
- Cross-functional coordination
- Vendor governance oversight
- Audit committee alignment
- Documentation responsibility
- Policy exception processes
- Change control workflows
- Performance monitoring
- Accountability enforcement
Module 4. AI Policy Development and Implementation
Create client-ready AI governance policies grounded in ISO 42001 requirements. Develop enforceable rules covering data use, model transparency, human oversight, and incident response.
12 chapters in this module
- Policy scope definition
- Data usage guidelines
- Model transparency standards
- Human oversight requirements
- Incident response framework
- Bias mitigation protocols
- Audit logging policy
- Model validation frequency
- Third-party compliance checks
- Policy version control
- Stakeholder consultation process
- Policy adoption tracking
Module 5. Compliance Mapping and Regulatory Alignment
Map ISO 42001 controls to GDPR, NIS2, DORA, and other applicable regulations. Build compliance matrices that simplify multi-jurisdictional governance.
12 chapters in this module
- GDPR alignment points
- NIS2 overlap analysis
- DORA compliance mapping
- CCPA implications
- Sector-specific adaptations
- Cross-border data flows
- Regulatory reporting links
- Supervisory body expectations
- Enforcement thresholds
- Sectoral regulation integration
- Jurisdiction-specific controls
- Global alignment strategy
Module 6. Internal Audit and Assurance Frameworks
Develop audit approaches tailored to AI systems. Create checklists and evidence trails that support internal assurance and external certification readiness.
12 chapters in this module
- Audit planning for AI systems
- Evidence collection methods
- Control testing procedures
- Gap assessment templates
- Audit trail requirements
- Internal auditor role
- Third-party audit prep
- Corrective action tracking
- Audit frequency planning
- Automated monitoring
- Reporting to leadership
- Audit independence
Module 7. Vendor and Third-Party Oversight
Establish governance over external AI providers. Define contractual terms, due diligence steps, and ongoing monitoring for vendor-managed AI systems.
12 chapters in this module
- Vendor due diligence
- Contractual safeguards
- Sub-processor oversight
- Right-to-audit clauses
- Security obligations
- Performance metrics
- Compliance verification
- Incident notification
- Exit strategy planning
- Shared responsibility model
- Vendor risk tiering
- Ongoing monitoring
Module 8. Human Oversight and Intervention Mechanisms
Design human-in-the-loop systems that satisfy ISO 42001 requirements. Implement oversight protocols for high-risk AI applications.
12 chapters in this module
- Human oversight definition
- Intervention triggers
- Escalation procedures
- Training requirements
- Decision review process
- Override mechanisms
- Monitoring human performance
- Fallback procedures
- Accountability after override
- Documentation of intervention
- Frequency of oversight
- Automation boundary setting
Module 9. Transparency and Explainability Requirements
Implement technical and procedural controls for AI explainability. Meet stakeholder expectations for system transparency across internal and external audiences.
12 chapters in this module
- Explainability principles
- Stakeholder communication
- Model documentation
- System transparency
- User notification
- Right to explanation
- Technical documentation
- Model cards
- System logs
- Accessibility of information
- Language clarity
- Documentation updates
Module 10. Incident Management and Response
Build incident response plans specific to AI failures. Establish detection, containment, reporting, and remediation workflows for AI-related breaches.
12 chapters in this module
- Incident identification
- Detection mechanisms
- Containment procedures
- Reporting thresholds
- Notification timelines
- Root cause analysis
- Remediation tracking
- Public disclosure
- Regulatory reporting
- Post-mortem process
- Lessons learned
- Plan testing
Module 11. Continuous Monitoring and Improvement
Implement ongoing oversight of AI systems. Use metrics, logging, and feedback loops to maintain compliance and performance over time.
12 chapters in this module
- Performance monitoring
- Model drift detection
- Bias monitoring
- Logging standards
- Feedback mechanisms
- User complaints
- Automated alerts
- Review frequency
- Improvement planning
- Version control
- Decommissioning process
- Lifecycle closure
Module 12. Certification Readiness and External Audit Prep
Prepare for ISO 42001 certification audits. Compile documentation, conduct mock audits, and align teams for successful third-party assessment.
12 chapters in this module
- Certification roadmap
- Documentation checklist
- Gap analysis
- Internal mock audit
- Audit team preparation
- Evidence compilation
- Stakeholder alignment
- Nonconformance handling
- Audit timeline
- Corrective action plan
- Certification body selection
- Post-certification maintenance
How this maps to your situation
- When launching a new AI governance initiative
- When expanding governance scope across client engagements
- When responding to regulatory inquiry or client audit
- When establishing internal AI policy standards
Before vs. after
Before
AI governance decisions are fragmented across teams, requiring constant escalation and consensus-building.
After
You own the full decision chain, from framework design to policy enforcement, with recognized authority in your current role.
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 busy practitioners. Total course completion in under 40 hours.
If nothing changes
Continuing with ad hoc governance approaches risks duplicated effort, inconsistent client advice, and missed opportunities to solidify leadership in emerging AI standards.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers role-specific authority in AI governance. Compared to vendor-led training, it provides unbiased, standards-based decision frameworks applicable across client environments.
Frequently asked
Is this course relevant to practitioners outside tech companies?
Yes. The content is designed for advisors and leaders in professional services, financial institutions, healthcare, and other regulated sectors.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this prepare me for ISO 42001 certification?
Yes. The final module guides you through certification readiness, documentation, and audit preparation.
$199 one-time. Approximately 3 hours per module, designed for busy practitioners. Total course completion in under 40 hours..
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