A tailored course, built for your situation
Mastering SOC 2 for Global AI Governance Leaders
Build confidence in your governance framework with precise, auditable control structures that scale across jurisdictions.
$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.
Who this is for
Global AI Governance Leader operating at the intersection of technical review, compliance frameworks, and multinational policy alignment.
Who this is not for
This course is not for junior compliance analysts, auditors without governance decision rights, or practitioners focused solely on domestic regulatory frameworks.
What you walk away with
- Deploy SOC 2 controls with confidence in AI-specific environments
- Lead technical review panels with framework-backed reasoning
- Shape vendor selection criteria based on auditable compliance outcomes
- Own end-to-end narrative design for cross-border audits
- Produce jurisdiction-aware documentation that survives executive scrutiny
The 12 modules (with all 144 chapters)
Module 1. Foundations of SOC 2 in AI Governance
Establish the core principles of SOC 2 within AI-driven organizations, focusing on Trust Service Criteria relevance to algorithmic accountability, data provenance, and model monitoring.
12 chapters in this module
- Introduction to SOC 2 and AI alignment
- Trust Service Criteria breakdown
- AI-specific control objectives
- Global regulatory overlap mapping
- Control vs. governance scope
- Audit readiness benchmarks
- Documentation hierarchy
- Evidence collection planning
- Stakeholder input model
- Control ownership models
- Testing frequency logic
- Lifecycle integration points
Module 2. Scoping AI Systems for SOC 2
Define system boundaries for SOC 2 when AI components interact with data pipelines, inference endpoints, and third-party models.
12 chapters in this module
- System boundary principles
- AI pipeline segmentation
- Third-party model inclusion rules
- Data ingestion control points
- Model registry integration
- API exposure mapping
- Inference logging scope
- Training data lineage
- Human-in-the-loop integration
- Drift detection triggers
- Ethical review linkage
- Version control alignment
Module 3. Designing AI-First Controls
Build SOC 2 controls that reflect AI-specific risks, including model bias monitoring, retraining workflows, and explainability requirements.
12 chapters in this module
- Control mapping methodology
- Bias detection thresholds
- Model retraining triggers
- Explainability integration
- Data quality assertions
- Adversarial input handling
- Audit trail design
- Model access controls
- Performance degradation rules
- Human override logging
- Version rollback readiness
- Control testing cadence
Module 4. Control Implementation at Global Scale
Deploy controls consistently across regions, accounting for differing data sovereignty rules and enforcement expectations.
12 chapters in this module
- Regional compliance mapping
- Data residency rules
- Cross-border evidence handling
- Localized control ownership
- Language-specific documentation
- Time zone coordination
- Audit trail harmonization
- Incident reporting paths
- Vendor compliance alignment
- Model localization rules
- Regulatory liaison workflows
- Global playbook versioning
Module 5. Vendor Assessment Within SOC 2
Evaluate third-party AI vendors against SOC 2 requirements, with emphasis on transparency, audit rights, and integration risks.
12 chapters in this module
- Vendor risk categorization
- Audit rights negotiation
- Transparency scorecard
- Model dependency mapping
- API contract review
- Data usage assurance
- Subprocessor disclosure
- Security event response
- Compliance certification review
- Model drift monitoring
- Exit strategy planning
- Contract termination clauses
Module 6. Internal Audit Preparation
Prepare internal teams for SOC 2 audits using AI-specific testing scenarios and evidence workflows.
12 chapters in this module
- Audit readiness checklist
- Evidence collection templates
- Interview preparation
- Testing scenario design
- Control deviation response
- Documentation audit trail
- Gap remediation planning
- Reviewer coordination
- Follow-up frequency
- Executive summary drafting
- Regulator-facing narrative
- Lessons learned integration
Module 7. Third-Party Auditor Engagement
Lead productive engagements with external auditors by anticipating technical questions and streamlining documentation access.
12 chapters in this module
- Auditor selection criteria
- RFP for audit firms
- Scope agreement drafting
- Evidence access model
- Technical Q&A prep
- Model documentation depth
- Control exception handling
- Timeline negotiation
- Draft report review
- Final sign-off workflow
- Audit finding classification
- Remediation tracking
Module 8. SOC 2 Reporting and Disclosure
Craft clear, accurate SOC 2 reports that reflect AI system complexity while meeting auditor and stakeholder expectations.
12 chapters in this module
- Type I vs Type II distinctions
- Management assertion drafting
- System description writing
- Control effectiveness statements
- Limitation of use clauses
- Distribution controls
- Executive summary tone
- Regulator disclosure rules
- Client-facing summaries
- Version control for reports
- Review cycle timing
- Report archiving policy
Module 9. Continuous Monitoring for AI Systems
Maintain SOC 2 compliance through automated logging, retesting, and model behavior tracking.
12 chapters in this module
- Automated evidence collection
- Control testing automation
- Log retention rules
- Model drift detection
- Retraining impact review
- Human review escalation
- Anomaly alerting
- Dashboard design
- Incident review workflow
- Quarterly control review
- Audit trail integrity
- System change governance
Module 10. Cross-Functional Alignment
Align legal, engineering, compliance, and risk teams around a unified SOC 2 implementation strategy.
12 chapters in this module
- Stakeholder mapping
- Governance council model
- Decision rights framework
- Communication plan
- Escalation paths
- Conflict resolution
- Training material design
- Role-specific playbooks
- Feedback integration
- Change adoption tracking
- Leadership update rhythm
- Cross-team documentation
Module 11. Extending SOC 2 to Other Frameworks
Use SOC 2 as a foundation for ISO 27001, NIST CSF, and other compliance efforts in AI governance.
12 chapters in this module
- Framework mapping logic
- Control overlap analysis
- Efficiency gains tracking
- ISO 27001 alignment
- NIST CSF integration
- GDPR compliance linkage
- HIPAA crosswalk
- CCPA coordination
- DORA mapping
- EBA expectations
- NIS2 alignment
- Multi-framework reporting
Module 12. Leadership Communication and Influence
Present SOC 2 outcomes to executive teams, board members, and external partners to strengthen governance leadership.
12 chapters in this module
- Executive briefing prep
- Risk posture visualization
- Governance maturity model
- Strategic initiative alignment
- Budget justification
- Vendor negotiation leverage
- Public positioning
- Media inquiry handling
- Industry working groups
- Policy advocacy
- Thought leadership
- Influence expansion
How this maps to your situation
- Preparing for first SOC 2 audit
- Leading vendor selection with compliance in mind
- Aligning global teams on control standards
- Communicating governance outcomes to leadership
Before vs. after
Before
Navigating SOC 2 with fragmented tools and inconsistent documentation across regions.
After
Leading global SOC 2 implementations with confidence, clarity, and direct input on technical and vendor decisions.
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 3 hours per module, designed for completion over 6-8 weeks with full team implementation readiness.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to AI governance leaders, with concrete control mappings, jurisdiction-aware templates, and vendor assessment tools not available in off-the-shelf training.
Frequently asked
Is this course focused only on technical controls?
No. It covers technical, process, and governance controls, with emphasis on decision rights and cross-functional leadership.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can this be used for ISO 27001 or NIST CSF?
Yes. Module 11 provides direct mapping from SOC 2 to other frameworks.
$199 one-time. Approximately 3 hours per module, designed for completion over 6-8 weeks with full team implementation readiness..
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