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SEC7958 Mastering ISO 27001 for Enterprise Architects in AI Solutions

$199.00
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A tailored course, built for your situation

Mastering ISO 27001 for Enterprise Architects in AI Solutions

A structured path to authoritative, repeatable information security design in complex AI environments

$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.
Stuck reviewing fragmented security proposals or scrambling through last-minute audit prep?

The situation this course is for

Many enterprise architects spend cycles translating compliance requirements into technical specs only to see their work deprioritised or diluted in execution. Without a standardised approach, even sound designs face delays, rework, or rejection during audit cycles, especially in AI environments where data flows and model logic complicate control mapping.

Who this is for

Senior enterprise architects in regulated tech or AI organisations who lead or influence ISO 27001 implementation across distributed systems

Who this is not for

Junior developers, compliance auditors without architectural responsibility, or professionals outside regulated AI or cloud infrastructure domains

What you walk away with

  • Produce ISO 27001 control mappings that align with AI system architecture and data lifecycle
  • Lead cross-functional teams with confidence using pre-built templates and authoritative frameworks
  • Reduce time from policy intent to audit-ready documentation by 50% or more
  • Consistently win assignment to high-visibility, strategic compliance projects
  • Build reusable artefacts that compound across engagements and reduce future effort

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 27001 in AI Context
Ground the standard in real-world AI system design, focusing on scope definition and boundary mapping for machine learning pipelines.
12 chapters in this module
  1. AI systems and compliance scope
  2. Defining information assets
  3. Data classification levels
  4. Risk ownership roles
  5. Mapping AI components
  6. Control relevance filter
  7. Jurisdictional variations
  8. UK GDPR alignment
  9. Third-party model risk
  10. Vendor data handling
  11. Cloud hosting considerations
  12. On-prem integration
Module 2. Role of the Enterprise Architect
Clarify your strategic position in governance delivery and how to assert influence without direct authority.
12 chapters in this module
  1. Influence without mandate
  2. Architecture governance boards
  3. Compliance escalation paths
  4. Executive communication
  5. Risk register ownership
  6. Audit interface design
  7. Control ownership models
  8. Vendor coordination
  9. Change control process
  10. Policy exception handling
  11. Cross-team alignment
  12. Documentation stewardship
Module 3. Control Mapping Methodology
A step-by-step approach to translating ISO 27001 controls into technical specifications for AI environments.
12 chapters in this module
  1. Control-to-system matching
  2. Automated logging design
  3. Access control logic
  4. Encryption mapping
  5. Retention rules
  6. Data portability setup
  7. Vendor audit rights
  8. Model version control
  9. API security standards
  10. Incident response triggers
  11. Backup validation
  12. Audit trail design
Module 4. Building the Statement of Applicability
Master the SoA as a living document that drives implementation and demonstrates compliance.
12 chapters in this module
  1. SoA structure basics
  2. Control justification
  3. Exclusion rationale
  4. AI-specific exemptions
  5. Risk treatment plans
  6. Owner assignment
  7. Review cycles
  8. Version control
  9. Cross-reference system
  10. Audit navigation
  11. Executive summary
  12. Living document upkeep
Module 5. Designing the Risk Assessment
Create repeatable, evidence-based risk assessments tailored to distributed AI workloads.
12 chapters in this module
  1. Threat modelling AI systems
  2. Data flow mapping
  3. Attack surface analysis
  4. Asset valuation
  5. Likelihood scoring
  6. Impact assessment
  7. Third-party risk
  8. Model drift concerns
  9. Bias detection
  10. Exposure metrics
  11. Risk register format
  12. Review frequency
Module 6. Security Policy Development
Draft policies that are enforceable, technically accurate, and aligned with architectural reality.
12 chapters in this module
  1. Acceptable use policy
  2. Data handling rules
  3. Encryption standards
  4. Remote access policy
  5. Incident reporting
  6. Model monitoring
  7. Access review frequency
  8. Privileged account rules
  9. Vendor access policy
  10. Change management
  11. Backup schedules
  12. Disaster recovery
Module 7. Vendor and Third-Party Oversight
Ensure compliance continuity across third-party AI models, cloud platforms, and integration partners.
12 chapters in this module
  1. Vendor due diligence
  2. Model licensing
  3. API security checks
  4. Subprocessor reviews
  5. Audit rights negotiation
  6. Compliance certification
  7. SLA alignment
  8. Penetration testing
  9. Code escrow
  10. Exit planning
  11. Data sovereignty
  12. Jurisdictional compliance
Module 8. Internal Audit Preparation
Prepare audit packages that reduce friction and demonstrate proactive governance.
12 chapters in this module
  1. Audit scope definition
  2. Evidence collection
  3. Document naming
  4. Version control
  5. Access provisioning
  6. Review timelines
  7. Finding response
  8. Remediation tracking
  9. Audit trail analysis
  10. Compliance dashboards
  11. Reporting rhythm
  12. Executive summaries
Module 9. Cross-Regional Implementation
Deploy ISO 27001 consistently across UK, EU, and global operations with nuanced regional adaptations.
12 chapters in this module
  1. UK GDPR alignment
  2. PRA SS1/21 reference
  3. EU FCA mappings
  4. Local legal review
  5. Regional oversight
  6. Central policy design
  7. Local deviation process
  8. Language considerations
  9. Enforcement expectations
  10. Audit cycle alignment
  11. Time zone coordination
  12. Leadership reporting
Module 10. Automation and Tooling
Leverage tooling for scalable compliance in AI environments, including Azure, ServiceNow, and SAP integrations.
12 chapters in this module
  1. Automated control checks
  2. Azure compliance tools
  3. ServiceNow workflows
  4. SAP security modules
  5. Databricks monitoring
  6. Snowflake access logs
  7. Power BI dashboards
  8. Jira tracking
  9. Orchestration scripts
  10. Alerting design
  11. Integration pipelines
  12. Tool ownership
Module 11. Stakeholder Communication
Communicate compliance progress to executives, auditors, and technical teams with clarity and authority.
12 chapters in this module
  1. Executive updates
  2. Audit committee reports
  3. Team briefings
  4. Risk escalation
  5. Vendor coordination
  6. Board-level messaging
  7. Media inquiry prep
  8. Crisis comms
  9. Compliance storytelling
  10. Success metrics
  11. Lessons learned
  12. Improvement roadmap
Module 12. Sustaining Compliance Over Time
Build institutional memory and resilience so compliance endures leadership changes and technical shifts.
12 chapters in this module
  1. Review cycles
  2. Change impact analysis
  3. Architecture updates
  4. Policy refresh
  5. Staff onboarding
  6. Knowledge transfer
  7. Documentation templates
  8. Compliance KPIs
  9. Maturity assessment
  10. Lessons capture
  11. Process automation
  12. Legacy system handling

How this maps to your situation

  • Implementing ISO 27001 in AI systems
  • Leading compliance across regions
  • Managing third-party AI risk
  • Scaling governance in regulated environments

Before vs. after

Before
Reactive compliance work, fragmented documentation, and limited influence on high-impact projects
After
Strategic engagement selection, repeatable artefacts, and leadership in compliance-critical initiatives

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 6, 8 hours of focused reading and implementation planning, self-paced over 4 weeks.

If nothing changes
Continuing with ad hoc compliance approaches risks increased audit findings, missed leadership opportunities, and assignment to lower-impact work despite growing organisational demand for structured governance.

How this compares to the alternatives

Unlike generic ISO 27001 training, this course is tailored to enterprise architects in AI organisations, with concrete examples, tool-specific workflows, and strategies for influence without direct authority.

Frequently asked

Who is this course designed for?
Enterprise architects in regulated technology or AI organisations leading or influencing ISO 27001 implementation across distributed systems.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this course region-specific?
It includes regional adaptations, especially UK GDPR and PRA SS1/21, for architects operating in UK and EU jurisdictions.
$199 one-time. Approximately 6, 8 hours of focused reading and implementation planning, self-paced over 4 weeks..

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