A tailored course, built for your situation
Mastering ISO 27001 for AI/ML Engineers Building AI Agents
A step-by-step system to align security controls with AI agent development cycles
$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.
Audit-readiness that slows down final integration of AI agents
The situation this course is for
AI/ML Engineers face last-minute compliance rework when preparing AI agents for deployment, especially under audit or regulator scrutiny. Controls are often applied too late, creating rework, delays, and team friction just before go-live.
Who this is for
AI/ML Engineers in regulated environments who are building autonomous AI agents and need to demonstrate compliance without slowing development
Who this is not for
Engineers who only work on research prototypes, non-deployable models, or legacy system maintenance without compliance integration cycles
What you walk away with
- Produce audit-ready AI agent deployments without last-minute rework
- Embed ISO 27001 controls directly into agent design templates
- Reduce time from security policy intent to working artefact by 85%
- Confidently release AI agents with documented control mappings
- Shift from reactive fixes to proactive compliance by design
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 27001 in the Context of AI Systems
Grounds the standard in AI-specific threats and controls, focusing on data handling, model transparency, and access governance for agent workflows.
12 chapters in this module
- How ISO 27001 applies to AI agent development cycles
- Mapping AI-specific risks to Annex A controls
- Defining asset boundaries for machine learning models
- Classifying data processed by autonomous agents
- Control ownership in cross-functional AI teams
- Time-bound access for training and inference workloads
- Security policy alignment for low-human-in-the-loop systems
- Audit trails for agent decision pathways
- Controlled updates to agent behavior logic
- Vendor risk for third-party AI components
- Secure development lifecycle for AI agents
- Documenting compliance intent for automated systems
Module 2. Designing AI Agents with Compliance by Default
Teaches how to bake ISO 27001 controls into agent architecture from day one, reducing retrofits and rework.
12 chapters in this module
- Embedding access controls into agent identity frameworks
- Automated data classification during agent processing
- Privacy-preserving design for agent memory modules
- Secure communication between agents and services
- Role-based permissions in agent collaboration
- Encryption strategies for agent state storage
- Tamper-evident logging for agent actions
- Controlled model versioning and rollback paths
- Audit-ready decision logging for AI outputs
- Designing for revocation and deactivation
- Compliance-aware prompt engineering templates
- Version-controlled policy documents in agent repos
Module 3. Mapping AI Workflows to ISO 27001 Controls
Turns agent development stages into mapped control points, ensuring continuous compliance alignment.
12 chapters in this module
- Mapping data ingestion to access control requirements
- Aligning model training with asset protection clauses
- Linking inference workflows to data integrity controls
- Control mapping for agent-to-agent communication
- Documenting separation of duties in AI teams
- Integrating change management for agent updates
- Mapping monitoring systems to detection requirements
- Incident response planning for agent misbehavior
- Business continuity for agent-dependent services
- Vendor management for AI platform dependencies
- Risk assessment for agent autonomy levels
- Control evidence collection at each lifecycle phase
Module 4. Automating Control Evidence Collection
Builds workflows that auto-generate compliance evidence during normal development operations.
12 chapters in this module
- Automated logging of agent access decisions
- Scripted generation of control implementation reports
- Git-based versioning of security configurations
- CI/CD pipeline integration with control checks
- Dynamic evidence templates for audit packages
- Automated scanning of agent code for policy gaps
- Real-time dashboards for control status
- Scheduled control validation jobs
- Evidence packaging for external auditor review
- Versioned artefacts for repeatable compliance
- Machine-readable control assertions for APIs
- Centralized logs for agent behavior and access
Module 5. Streamlining Audit Readiness for AI Agents
Reduces audit-cycle delays by pre-building compliant artefacts during development.
12 chapters in this module
- Pre-audit checklist for agent deployment
- Standardized documentation for agent purpose and scope
- Control summary reports for auditor consumption
- Evidence packages structured for ISO 27001 review
- Preparing narrative responses for audit findings
- Scheduling internal validation cycles
- Coordinating cross-team evidence collection
- Mock audit drills for agent systems
- Version-controlled evidence repositories
- Timeline visualization of control implementation
- Audit trail completeness verification
- Final sign-off workflow for compliance leads
Module 6. Accelerating Security Policy Implementation
Cuts time between policy update and agent compliance through templated adaptation.
12 chapters in this module
- Rapid decoding of new ISO 27001 interpretations
- Template-based control adaptation for AI use cases
- Fast-tracking policy updates in agent pipelines
- Automated control gap analysis for new versions
- Cross-referencing control changes to agent code
- Impact assessment for compliance updates
- Versioned policy implementation tracking
- Change propagation in agent microservices
- Policy exception logging and approval paths
- Rollback planning for failed control integration
- Stakeholder notification workflows for updates
- Feedback loops from audit to policy design
Module 7. Integrating ISO 27001 into CI/CD Pipelines
Embeds compliance checks directly into build and deployment workflows.
12 chapters in this module
- Pre-commit hooks for security policy compliance
- Static analysis for control implementation
- Dynamic testing of agent authorization flows
- Automated encryption validation in pipelines
- Artifact signing and integrity verification
- Policy enforcement in staging environments
- Automated documentation generation from code
- Compliance gates in deployment workflows
- Rollback triggers based on control failures
- Logging compliance status in build outputs
- Integrating third-party compliance tools
- Audit trail of pipeline control decisions
Module 8. Managing Vendor Components in AI Agent Systems
Ensures third-party tools and models meet ISO 27001 standards by design.
12 chapters in this module
- Vendor risk assessment for AI platforms
- Compliance requirements in procurement templates
- Evaluation checklist for model providers
- Contractual obligations for security controls
- Ongoing monitoring of vendor compliance
- Incident response coordination with vendors
- Right-to-audit clauses for AI services
- Subprocessor transparency for agent stacks
- Security certification review for vendors
- Vendor offboarding and data removal plans
- Automated compliance monitoring for APIs
- Fallback strategies for non-compliant vendors
Module 9. Maintaining Continuous Compliance in Production
Keeps agents compliant after deployment through monitoring and automation.
12 chapters in this module
- Real-time control health monitoring
- Automated alerts for policy deviations
- Scheduled revalidation of access controls
- Dynamic adjustment of compliance thresholds
- Logging agent behavior for audit trails
- Control drift detection mechanisms
- Automated reporting for compliance cycles
- Incident response for control failures
- User activity monitoring for agent access
- Periodic access recertification workflows
- Integration with security operations centers
- Compliance dashboard for leadership review
Module 10. Documenting Control Implementation for Auditors
Creates clear, concise artefacts that pass audit review efficiently.
12 chapters in this module
- Standardized control implementation templates
- Narrative writing for auditor clarity
- Visual mapping of controls to workflows
- Evidence alignment with audit checklists
- Version-controlled documentation systems
- Cross-reference indexing for audit trails
- Appendix structuring for technical depth
- Executive summary preparation
- Handling auditor follow-up questions
- Updating documents for control changes
- Storage and access for audit packages
- Final review and sign-off process
Module 11. Scaling Compliance Across AI Agent Portfolios
Applies proven patterns to multiple agent projects efficiently.
12 chapters in this module
- Reusable compliance templates for agent types
- Centralized control library for engineering teams
- Standardized onboarding for new projects
- Cross-project compliance consistency checks
- Shared evidence repositories
- Compliance automation tooling rollout
- Training materials for new team members
- Metrics for compliance maturity tracking
- Lessons learned sharing across teams
- Governance model for multi-agent environments
- Resource allocation for compliance scaling
- Roadmap integration for future agent types
Module 12. Future-Proofing AI Agent Compliance
Prepares for evolving standards and emerging AI risks.
12 chapters in this module
- Tracking ISO 27001 revision timelines
- Anticipating AI-specific control updates
- Incorporating emerging best practices
- Adapting to new regulatory expectations
- Updating agent designs for new threats
- Building compliance feedback loops
- Engaging with standards bodies
- Participating in pilot compliance programs
- Benchmarking against peer organizations
- Investing in control automation R&D
- Scaling training for compliance depth
- Architecting for audit evolution
How this maps to your situation
- Initial agent design phase
- Development and integration cycle
- Pre-audit preparation
- Post-deployment compliance
Before vs. after
Before
Spending days assembling compliance evidence during final agent integration, with last-minute rework and cross-team delays.
After
Automatically generating audit-ready artefacts as part of normal development, reducing final integration to under 48 hours.
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 9 hours total, designed in 10, 15 minute focused blocks to fit around development sprints.
If nothing changes
Without streamlined compliance integration, AI agent deployments will continue to face delays, auditor friction, and rework cycles that slow innovation and increase operational burden.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to AI/ML Engineers building deployable agents, with actionable templates and integration patterns not found in off-the-shelf training.
Frequently asked
Is this course specific to IBM's internal frameworks?
No. This course is built around ISO 27001 and general AI engineering compliance practices, not IBM-specific systems or trademarks.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with regulator-facing reviews?
Yes. The course focuses on creating artefacts that pass review efficiently, especially around audit trails, control mapping, and evidence completeness.
$199 one-time. Approximately 9 hours total, designed in 10, 15 minute focused blocks to fit around development sprints..
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