A tailored course, built for your situation
Mastering ISO 42001 for Cyber Defense Leaders Implementing AI Governance
A structured path to lead AI governance decisions with authority and precision.
$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 security leaders are reactive on AI governance, asked to approve tools and policies they didn’t shape.
The situation this course is for
Without a clear framework, AI governance becomes a series of approvals rather than a platform for leadership. Teams default to generic controls, miss threat-hunting integration points, and lose credibility when regulators ask for specifics.
Who this is for
Senior cyber and security leaders shaping governance in AI-forward environments.
Who this is not for
Individuals seeking introductory compliance training or generic AI overviews.
What you walk away with
- Lead ISO 42001 implementation with confidence in control mapping and gap assessment
- Own the vendor evaluation track for AI security tools
- Drive cross-functional consensus on AI risk thresholds
- Produce auditable evidence packs aligned with ISO 42001 requirements
- Establish repeatable processes for threat-model integration into AI governance
The 12 modules (with all 144 chapters)
Module 1. ISO 42001 Context and Leadership Commitment
Establish organizational context for AI governance and define leadership roles in compliance.
12 chapters in this module
- Defining AI governance scope
- Stakeholder mapping
- Leadership accountability
- Governance vs oversight
- Risk appetite framework
- Policy alignment
- Resource planning
- Third-party dependencies
- AI use-case inventory
- Control ownership
- Compliance timelines
- Internal audit readiness
Module 2. Risk Assessment and Control Design
Build risk-based controls tailored to AI system behaviors and data flows.
12 chapters in this module
- AI-specific threat modeling
- Data lineage tracking
- Bias detection protocols
- Explainability thresholds
- Model drift monitoring
- Security testing cadence
- Third-party model risk
- Adversarial attack surface
- Incident escalation paths
- Human-in-the-loop design
- Control validation
- Audit trail requirements
Module 3. Vendor Selection and Third-Party Assurance
Evaluate AI vendors against ISO 42001 control expectations and integration readiness.
12 chapters in this module
- Vendor compliance checklist
- AI model provenance
- Transparency scoring
- Contractual controls
- Right-to-audit clauses
- Performance SLAs
- Security certification review
- Penetration testing access
- Incident response alignment
- Exit strategy planning
- License terms review
- Support resourcing
Module 4. Threat Intelligence Integration
Fuse proactive threat hunting outputs into AI governance oversight processes.
12 chapters in this module
- Threat feed alignment
- IOC mapping to AI systems
- Anomaly baseline setting
- Suspicious behavior tagging
- Automated alert routing
- Hunting playbook integration
- False positive triage
- TTP-based detection
- MITRE ATT&CK for AI
- Threat actor profiling
- Incident correlation
- Reporting frequency
Module 5. Cloud Security and AI Workloads
Secure AI deployment patterns across hybrid and public cloud environments.
12 chapters in this module
- Workload segregation
- Identity and access controls
- Secrets management
- Container security
- Serverless risks
- Network segmentation
- API gateway policies
- Data encryption standards
- Compliance automation
- Logging fidelity
- Configuration drift
- Multi-cloud strategy
Module 6. Internal Audit and Compliance Verification
Develop audit-ready documentation and response protocols for ISO 42001 reviews.
12 chapters in this module
- Control evidence packs
- Audit trail completeness
- Sampling strategy
- Control effectiveness
- Management representation
- Gap reporting
- Remediation tracking
- Evidence lifecycle
- Peer review setup
- Audit frequency
- Non-conformance handling
- Corrective action planning
Module 7. Incident Response for AI Systems
Define response protocols specific to AI model compromise or misuse.
12 chapters in this module
- AI incident classification
- Model rollback procedures
- Data poisoning response
- Bias outbreak containment
- Stakeholder notification
- Regulatory reporting
- Forensic data capture
- Chain of custody
- Post-mortem process
- Lessons learned
- Recovery validation
- Legal coordination
Module 8. Training and Awareness Programs
Develop role-specific AI governance training for technical and non-technical teams.
12 chapters in this module
- Role-based curriculum
- Developer training
- Executive briefings
- HR policy alignment
- Phishing simulations
- AI misuse scenarios
- Ethics workshops
- Compliance testing
- Knowledge retention
- Feedback loops
- Training frequency
- Performance metrics
Module 9. Continuous Monitoring and Improvement
Implement feedback-driven refinement of AI governance controls.
12 chapters in this module
- KPI definition
- Control drift detection
- Automated compliance checks
- Dashboard design
- Executive reporting
- Benchmarking
- Maturity assessment
- Gap prioritization
- Resource allocation
- Technology refresh
- Regulatory horizon scanning
- Stakeholder surveys
Module 10. Legal and Regulatory Interface
Align AI governance with DORA, GDPR, DPDPA, and other jurisdictional requirements.
12 chapters in this module
- Regulatory mapping
- Cross-border data flow
- Consent mechanisms
- Data subject rights
- Breach notification
- Regulatory engagement
- Supervisory authority
- Local counsel coordination
- Enforcement trends
- Compliance thresholds
- Audit readiness
- Documentation standards
Module 11. Executive Communication and Strategic Alignment
Translate technical AI governance into strategic business value for leadership.
12 chapters in this module
- Risk appetite framing
- Business impact analysis
- Investment justification
- Strategic alignment
- Board-level summaries
- Budget planning
- Vendor negotiation
- Innovation enablement
- Third-party risk
- Market differentiation
- Reputation management
- Value articulation
Module 12. Implementation Playbook and Organizational Rollout
Deploy ISO 42001 governance at scale with tailored templates and rollout guidance.
12 chapters in this module
- Roadmap development
- Pilot planning
- Change management
- Stakeholder onboarding
- Control handover
- Training rollout
- Documentation cascade
- Compliance tracking
- Feedback collection
- Iteration planning
- Success metrics
- Lessons documented
How this maps to your situation
- Leading AI governance in a multi-cloud environment
- Integrating threat intelligence into compliance workflows
- Shaping vendor selection for AI security tools
- Establishing authority on technical control decisions
Before vs. after
Before
Approving AI governance decisions without full context or control over framework adoption.
After
Leading the design and implementation of AI governance with influence across teams and leadership.
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 2.5 hours per module, with self-paced access.
If nothing changes
Without structured governance, AI adoption becomes a patchwork of tools and policies , increasing compliance risk, audit friction, and operational blind spots.
How this compares to the alternatives
Unlike generic AI ethics courses or high-level compliance overviews, this program delivers actionable, framework-specific guidance for cyber leaders implementing ISO 42001 in real-world environments.
Frequently asked
Is this course relevant if my organization isn’t planning ISO 42001 certification?
Yes. The course equips you to lead AI governance decisions using ISO 42001 as a framework, regardless of formal certification goals.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me influence peer teams and leadership?
Yes. You'll gain structured reasoning, evidence templates, and implementation clarity to lead decisions on controls, vendors, and risk thresholds.
$199 one-time. Approximately 2.5 hours per module, with self-paced access..
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