A tailored course, built for your situation
Mastering SOC 2 for AI Systems Engineers
Build repeatable compliance assets that compound across client engagements
$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.
Starting from scratch on every SOC 2 engagement slows down delivery and dilutes impact
The situation this course is for
Many AI engineers treat compliance as one-off work, building evidence and control mappings fresh each time. That creates redundant effort, inconsistent quality, and missed opportunities to build leverage across engagements.
Who this is for
Senior AI engineer at a Big 4 firm working at the intersection of intelligent systems and regulatory compliance, focused on delivering defensible, repeatable artifacts
Who this is not for
Entry-level engineers, non-technical auditors, or practitioners not involved in system design or compliance delivery
What you walk away with
- Create a library of SOC 2 control templates tailored to AI-driven systems
- Reapply audit narratives across engagements with minimal customization
- Accelerate evidence collection by reusing data lineage maps and access patterns
- Build internal credibility as the go-to practitioner for SOC 2 in AI contexts
- Document a personal IP library that compounds across client work
The 12 modules (with all 144 chapters)
Module 1. Foundations of SOC 2 in AI Systems
Understand how Trust Services Criteria apply to machine learning pipelines and data-intensive workflows. Identify where AI systems create novel control gaps and how to close them systematically.
12 chapters in this module
- What SOC 2 means for AI engineers
- Core differences between SOC 2 and ISO 27001
- Mapping TSC to model training workflows
- Control boundaries in distributed AI systems
- Audit scope for data ingestion pipelines
- Defining system boundaries with stakeholders
- How AI use cases change SOC 2 scope
- Documentation standards for AI systems
- Integrating SOC 2 into agile development
- Versioning control evidence
- Tracking changes across model iterations
- Common misconceptions about AI and compliance
Module 2. Control Design for AI Workflows
Design scalable controls that survive model updates and data shifts. Learn how to future-proof control mappings for systems that evolve.
12 chapters in this module
- Designing controls for retraining cycles
- Access management for model endpoints
- Logging requirements for inference traffic
- Data drift detection as a control
- Model version governance
- Automated validation of input data
- Human-in-the-loop review triggers
- Audit trail retention policies
- Change management for AI models
- Configuration baselines for containers
- Control ownership in cross-functional teams
- Handling third-party model dependencies
Module 3. Evidence Collection at Scale
Build automated evidence pipelines that reduce manual effort and increase consistency. Turn logs, metrics, and configuration snapshots into defensible audit packages.
12 chapters in this module
- Automated log aggregation from AI systems
- Sampling strategies for inference data
- Exporting model metadata for auditors
- Generating access review reports
- Capturing training job configurations
- Storing evidence in audit-ready formats
- Validating control execution traces
- Integrating with SIEM tools
- Cloud-native logging for GCP Azure AWS
- Data retention policies for compliance
- Version-controlled evidence repositories
- Time-stamped artifact signing
Module 4. Building Reusable Audit Narratives
Craft compelling, consistent explanations of how controls operate in AI environments. Develop narrative templates that evolve with your experience.
12 chapters in this module
- Structuring SOC 2 system descriptions
- Explaining ML pipelines to auditors
- Mapping controls to TSC criteria
- Writing clear control objectives
- Describing automated monitoring
- Narratives for data lineage tracing
- Handling black-box model concerns
- Documenting human oversight processes
- Updating narratives efficiently
- Visualizing control flows
- Tailoring narratives by client sector
- Versioning narrative templates
Module 5. From One-Off to Compound Assets
Shift from transactional compliance to building long-term value. Learn how to create IP that grows stronger with each engagement.
12 chapters in this module
- Identifying reusable components
- Creating modular control libraries
- Template-based evidence packages
- Building internal playbooks
- Knowledge transfer frameworks
- Version control for compliance IP
- Tracking reuse across teams
- Measuring IP compounding effect
- Onboarding new team members
- Sharing best practices across offices
- Contributing to firm-wide standards
- Owning a growing body of work
Module 6. Integrating with CI/CD Pipelines
Embed compliance into development workflows so controls evolve with the system. Automate checks and evidence generation.
12 chapters in this module
- Security gates in CI/CD
- Automated control validation
- Static analysis for compliance
- Dynamic testing in staging
- Policy-as-code implementation
- Drift detection in production
- Automated access reviews
- Model signing and attestation
- Integrating with Jenkins GitLab
- Container image scanning
- Infrastructure-as-code checks
- Audit trail automation
Module 7. Stakeholder Communication Strategies
Align technical teams, auditors, and business leaders around compliance outcomes. Develop messaging that bridges domains.
12 chapters in this module
- Translating controls for executives
- Managing auditor expectations
- Facilitating control walkthroughs
- Handling scope disagreements
- Reporting progress to leadership
- Negotiating control exceptions
- Documenting compensating controls
- Preparing for Type 1 and Type 2
- Managing multi-cloud scope
- Handling third-party dependencies
- Managing client-specific variations
- Closing findings efficiently
Module 8. Vendor-Managed Services and Dependencies
Handle compliance in hybrid environments where parts of the system are managed externally.
12 chapters in this module
- Defining responsibility matrices
- Reviewing vendor SOC 2 reports
- Assessing subservice providers
- Managing SLAs for compliance
- Auditing cloud platform configurations
- Handling SaaS components
- Evaluating managed model services
- Third-party risk questionnaires
- Obtaining evidence from vendors
- Tracking vendor changes
- Managing contract language
- Escalation paths for findings
Module 9. Advanced Data Governance for AI
Strengthen data controls specific to machine learning systems, including lineage, quality, and consent.
12 chapters in this module
- Data lineage tracking tools
- Provenance for training data
- Data quality monitoring
- Consent management integration
- PII detection in unstructured data
- Bias mitigation documentation
- Data retention in model pipelines
- Anonymization techniques
- Cross-border data flows
- Purpose limitation enforcement
- Data subject rights fulfillment
- Audit logging for data access
Module 10. Incident Response and Compliance
Integrate SOC 2 requirements into incident response workflows without slowing down detection or remediation.
12 chapters in this module
- Incident classification for SOC 2
- Logging requirements during incidents
- Preserving audit trails
- Post-mortem documentation
- Notifying auditors appropriately
- Handling security findings
- Maintaining control integrity
- Updating risk assessments
- Evidence collection during crises
- Coordinating with legal teams
- Reporting to management
- Updating control mappings
Module 11. Continuous Monitoring Implementation
Set up systems that maintain compliance between audits. Shift from point-in-time to always-on assurance.
12 chapters in this module
- Real-time control monitoring
- Automated alerting frameworks
- Threshold-based notifications
- Dashboarding for leadership
- Integrating with ITSM tools
- Scheduled control checks
- Anomaly detection in access patterns
- Model performance monitoring
- Drift detection in data pipelines
- Automated evidence generation
- Remediation workflows
- Reporting on control health
Module 12. Building Your Compliance IP Library
Consolidate everything into a personal knowledge base that compounds across projects and grows in value over time.
12 chapters in this module
- Organizing reusable templates
- Version control best practices
- Knowledge management platforms
- Tagging by control and use case
- Searching across engagements
- Sharing within teams
- Contributing to firm standards
- Measuring reuse efficiency
- Tracking personal impact
- Updating for regulatory changes
- Onboarding junior engineers
- Scaling personal influence
How this maps to your situation
- New SOC 2 engagement kickoff
- Mid-cycle control validation
- Pre-audit evidence collection
- Post-audit knowledge consolidation
Before vs. after
Before
Starting each SOC 2 engagement from scratch, recreating evidence and narratives, reinventing control mappings.
After
Leveraging a growing library of reusable assets that accelerate every new client engagement and build professional authority.
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 practitioners to apply concepts directly to active engagements.
If nothing changes
Continuing to rebuild compliance work each time means slower delivery, inconsistent quality, and missed opportunities to build defensible IP that compounds across engagements.
How this compares to the alternatives
Unlike generic compliance trainings, this course is tailored to AI engineers in consulting environments, focusing on reusable assets, not one-time fixes. It’s not a certification prep course; it’s a capability builder for practitioners who deliver real-world systems.
Frequently asked
Is this course focused on SOC 2 Type 1 or Type 2?
It covers both, with emphasis on building continuous evidence for Type 2 audits.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me with ISO 27001 as well?
Many control concepts overlap, skills in mapping, evidence, and narrative transfer directly.
$199 one-time. Approximately 3 hours per module, designed for practitioners to apply concepts directly to active engagements..
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