A tailored course, built for your situation
Mastering ISO 27001 for Gen AI Architects
Build an enduring information security foundation that compounds across AI governance deliverables
$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.
Spending too much time recreating security documentation for each new AI engagement?
The situation this course is for
High-performing AI architects are expected to deliver secure, compliant, and auditable systems, fast. Yet most rebuild core security components from scratch every time, creating inefficiency and inconsistency. The top practitioners aren’t working longer hours, they’re working smarter by building reusable, standards-based artefacts that compound across projects.
Who this is for
Senior Gen AI architects in consulting firms who lead AI governance and security integration across client engagements
Who this is not for
Junior developers, IT generalists, or professionals outside AI system design and governance
What you walk away with
- Produce ISO 27001-aligned control mappings in half the time
- Reapply security architecture decisions across multiple RAG and MCP implementations
- Own a growing library of auditable, customizable SoA entries
- Accelerate client onboarding with pre-built compliance templates
- Become the go-to resource for AI + ISO 27001 integration across your firm
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 27001 in AI Contexts
Establish core principles of ISO 27001 as they apply to generative AI systems, including data handling, access control, and risk assessment specific to model deployment.
12 chapters in this module
- Defining scope for Gen AI systems
- AI-specific information security policies
- Mapping AI components to ISMS
- Data lifecycle controls for LLMs
- Third-party model risk basics
- Security roles in AI teams
- Initial risk treatment planning
- Documenting AI asset inventories
- Classifying AI-generated data
- Control ownership models
- Setting compliance boundaries
- Baseline security requirements
Module 2. Control Mapping for RAG Architectures
Apply ISO 27001 controls directly to retrieval-augmented generation systems, focusing on data provenance, access logging, and model input validation.
12 chapters in this module
- Identifying sensitive data in RAG
- Controlling document retrieval access
- Audit logging for query chains
- Validation of injected prompts
- Securing vector databases
- Authentication for retrieval APIs
- Data retention in knowledge bases
- Role-based access for RAG
- Monitoring for prompt leakage
- Integrity checks on retrieved content
- Handling PII in context windows
- Model update control triggers
Module 3. Statement of Applicability for AI Projects
Build a modular SoA tailored to generative AI workloads, enabling rapid customization for different clients and deployment models.
12 chapters in this module
- Selecting relevant Annex A controls
- Justifying control exclusions
- Documenting AI-specific implementations
- Versioning SoA across engagements
- Linking SoA to architecture diagrams
- Client-specific tailoring
- Automated SoA updates
- Cross-referencing with model cards
- SoA change management
- Integrating with model risk frameworks
- Stakeholder review cycles
- SoA as a sales enablement tool
Module 4. Reusable Policy Templates for AI Governance
Develop standardized, editable policy snippets that can be deployed across engagements with minimal customization.
12 chapters in this module
- AI data handling policy boilerplate
- Model access governance templates
- Incident response for AI systems
- User behavior monitoring rules
- AI model update procedures
- Third-party vendor assessments
- Acceptable use for internal AI
- Model output review standards
- Security training for AI teams
- Logging and monitoring baseline
- Model decommissioning protocol
- Policy version control
Module 5. Risk Assessment for Multi-Client AI Deployments
Conduct efficient, consistent ISO 27001-aligned risk assessments that scale across engagements without starting from zero.
12 chapters in this module
- Threat modeling for AI pipelines
- Asset valuation in Gen AI
- Likelihood scoring for AI risks
- Impact tiers for model outputs
- Inherent vs residual risk
- Risk treatment options
- Risk acceptance thresholds
- Client risk profile templates
- AI supply chain risks
- Model drift detection triggers
- Legal and regulatory exposure
- Risk register maintenance
Module 6. Secure Integration of MCP Components
Apply ISO 27001 controls to model context protocol systems, ensuring secure data exchange and trusted model coordination.
12 chapters in this module
- Authentication in MCP networks
- Encryption for model handoffs
- Trust boundaries in multi-model systems
- Monitoring MCP message flows
- Audit trails for model coordination
- Secure model metadata sharing
- Access control for model registries
- Federated identity for MCP
- Model provenance verification
- Secure model update distribution
- MCP-specific incident scenarios
- Model role definitions
Module 7. Automated Compliance Evidence Generation
Leverage tooling to generate audit-ready evidence consistently, reducing manual overhead in compliance reviews.
12 chapters in this module
- Identifying evidence requirements
- Logging for compliance automation
- Integrating with cloud monitoring
- Automated control testing
- Evidence tagging and retrieval
- Version-controlled evidence stores
- AI model configuration tracking
- User access logs aggregation
- Security event correlation
- Dashboard for compliance status
- Integration with ticketing systems
- Evidence lifecycle management
Module 8. Cross-Engagement Knowledge Transfer
Design processes that capture and distribute security insights across teams and projects to amplify impact.
12 chapters in this module
- Capturing lessons from audits
- Standardizing security reviews
- Internal knowledge base setup
- Security playbook maintenance
- Mentoring junior architects
- Peer review workflows
- Security design patterns
- Client-specific adaptations
- Lessons from failed controls
- Scaling security mentorship
- Internal security champions
- Updating firm-wide templates
Module 9. Client-Facing Security Narratives
Develop compelling, accurate explanations of security posture that resonate with client executives and auditors.
12 chapters in this module
- Translating controls to business risk
- Visualizing security architecture
- Executive summary templates
- Responding to auditor questions
- Security maturity storytelling
- Bridging tech and compliance
- Handling difficult inquiries
- Tailoring depth by audience
- Anticipating follow-ups
- Using real project examples
- Metrics that matter
- Post-audit improvement plans
Module 10. Scaling AI Security Across Practice Areas
Extend your personal library into a broader practice capability, increasing influence and engagement value.
12 chapters in this module
- Building team repositories
- Standardizing onboarding
- Security design reviews
- Internal certification process
- Cross-functional alignment
- Marketing security differentiation
- Proposal security sections
- Pre-sales security workshops
- Client reference stories
- Measuring security ROI
- Practice growth roadmap
- Feedback loops from delivery
Module 11. Maintaining Artefact Relevance Over Time
Ensure your growing library stays current as standards, AI models, and threats evolve.
12 chapters in this module
- Tracking ISO 27001 updates
- Monitoring AI threat landscape
- Version control for templates
- Automated update alerts
- Periodic control reviews
- Retiring obsolete artefacts
- Deprecation communication
- Staying ahead of audits
- Regulatory change impact
- Updating model-specific controls
- Feedback from peers
- Continuous learning integration
Module 12. Maximizing Career Compounding
Turn your technical mastery into long-term professional leverage through deliberate asset-building.
12 chapters in this module
- Tracking artefact reuse
- Quantifying time saved
- Demonstrating value to leadership
- Building internal reputation
- Speaking at internal forums
- Publishing client wins
- Mentoring as leverage
- Growing external visibility
- Positioning for leadership
- Maintaining technical edge
- Strategic engagement selection
- Legacy of reusable work
How this maps to your situation
- Starting a new Gen AI client engagement
- Preparing for an internal or client audit
- Onboarding a new team member
- Pitching a differentiated security approach
Before vs. after
Before
Rebuilding security documentation from scratch on every project, struggling to keep pace with compliance demands while delivering innovative AI solutions.
After
Leveraging a growing library of reusable, ISO 27001-aligned artefacts that accelerate delivery, enhance quality, and elevate professional impact across engagements.
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 to fit around client delivery schedules , total ~36 hours over 8 weeks with flexible pacing.
If nothing changes
Without a compounding approach, you’ll continue spending disproportionate time on repetitive compliance tasks, miss opportunities to differentiate your work, and remain vulnerable to last-minute audit surprises , limiting your ability to scale influence and impact.
How this compares to the alternatives
Unlike generic ISO 27001 training or broad AI ethics courses, this program is tailored specifically to Gen AI architects in consulting firms, combining deep technical control guidance with practical, reusable artefact design , accelerating both delivery speed and career differentiation.
Frequently asked
Is this course suitable for someone without a formal security certification?
Yes , it’s designed for practitioners like Gen AI architects who are already delivering secure systems and want to deepen their standards integration without starting from zero.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive templates I can use immediately?
Yes , every module includes downloadable, customizable templates and real-world examples ready for adaptation to your engagements.
$199 one-time. Approximately 3 hours per module, designed to fit around client delivery schedules , total ~36 hours over 8 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