A tailored course, built for your situation
Mastering SOC 2 for Lead Software Engineers in AI Infrastructure
Build audit-ready systems that unlock premium engagements and higher-margin compliance contracts
$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.
Most engineers treat SOC 2 as a security team deliverable, but that mindset relegates them to reactive tasks and low-impact support roles
The situation this course is for
Without deep integration of SOC 2 controls into system architecture, engineering teams become bottlenecks during audits, leading to last-minute fixes, duplicated work, and eroded trust with compliance stakeholders. The cost isn’t just time, it’s influence. Teams that don’t own the narrative cede strategic decisions to auditors and consultants who lack technical context.
Who this is for
Lead software engineers in regulated tech environments who lead AI/ML infrastructure and want to transition from compliance support to compliance leadership
Who this is not for
Entry-level developers, pure policy writers, auditors, or non-technical compliance staff who don’t touch code or system design
What you walk away with
- Design systems with embedded SOC 2 controls that reduce audit prep time by 60%+
- Lead cross-functional SOC 2 implementation projects with engineering ownership
- Generate automated evidence trails tied directly to control objectives
- Differentiate in internal promotions or client engagements with verifiable compliance-by-design patterns
- Position yourself for higher-margin work where technical depth drives contract value
The 12 modules (with all 144 chapters)
Module 1. SOC 2 Foundations for Engineers
Shift from abstract compliance concept to concrete technical control set. Understand Trust Services Criteria through the lens of system responsibility.
12 chapters in this module
- What SOC 2 means for code owners
- Control vs evidence vs artefact
- Common misalignments in tech-first orgs
- Mapping security to availability and processing integrity
- How AI systems expand SOC 2 scope
- Engineer’s role in auditor interactions
- Boundary of responsibility in cloud stacks
- Compliance debt vs tech debt
- Key documentation engineers must own
- Versioning control narratives
- Traceability from requirement to deployment
- Integrating SOC 2 into incident response
Module 2. Control Mapping for Technical Teams
Translate SOC 2 requirements into system-level responsibilities using engineering-native frameworks.
12 chapters in this module
- Turning CC6.1 into logging mandates
- Data lineage for processing integrity
- Authentication controls in microservices
- Encryption scope across data states
- Access revocation timing benchmarks
- Change management in CI/CD pipelines
- API call validation patterns
- Audit trail completeness
- System dependency documentation
- Automated control validation
- Event correlation across services
- Real-time monitoring for exceptions
Module 3. Designing for Evidence Generation
Architect systems that produce audit-ready outputs without manual intervention.
12 chapters in this module
- Evidence-first design philosophy
- Structured logging for control linkage
- Timestamp accuracy across clusters
- Immutable log storage patterns
- Automated control reporting triggers
- JSON schema for compliance events
- Cross-service correlation IDs
- Retention policies aligned to audit cycles
- Evidence packaging workflows
- Version-controlled control narratives
- Zero-touch evidence submission
- Engineer-owned evidence validation
Module 4. Automated Testing of Controls
Implement continuous compliance validation using unit, integration, and penetration testing frameworks.
12 chapters in this module
- Unit testing for access controls
- Fuzz testing for input validation
- Pen testing for SOC 2 scope
- Automated configuration drift detection
- Control-specific test coverage
- Mock auditor workflows
- Regression testing for control logic
- Dynamic analysis in staging
- Failure injection for resilience
- Test reporting aligned to auditor needs
- Integrating test results into CI/CD
- Ownership handoff to DevOps
Module 5. Secure Development Lifecycle Integration
Embed SOC 2 considerations into sprint planning, code review, and deployment gates.
12 chapters in this module
- Compliance story triage
- Definition of ready for compliance tasks
- Code review checklists for controls
- Pull request annotations for evidence
- Pre-deployment control gates
- Release notes with compliance impact
- Version-to-control traceability
- Backward compatibility for evidence
- Deployment frequency vs control stability
- Incident rollback with compliance
- Security champions model
- Developer training playbooks
Module 6. Cloud Architecture and SOC 2
Apply control principles to AWS, GCP, and Azure deployments with shared responsibility clarity.
12 chapters in this module
- IAM role design for least privilege
- Network segmentation patterns
- VPC flow log utilization
- Serverless control considerations
- Container image provenance
- Kubernetes compliance hooks
- Cloudtrail logging completeness
- GuardDuty integration
- Secrets management at scale
- Configuration drift monitoring
- Auto-remediation playbooks
- Vendor control documentation
Module 7. Third-Party Risk and Vendor Management
Lead technical due diligence and integration of vendors within SOC 2 scope.
12 chapters in this module
- Vendor scoping workshops
- Subservice organization evaluation
- Type 2 report validation
- Evidence gap analysis
- Control dependency mapping
- Contractual control obligations
- Onboarding compliance gates
- Ongoing monitoring design
- Exit strategy for vendors
- Shared control documentation
- Vendor audit participation
- Multi-vendor evidence aggregation
Module 8. Incident Response and SOC 2
Ensure security incidents don’t invalidate compliance posture through proactive design.
12 chapters in this module
- Incident classification with controls
- Breach simulation exercises
- Forensic data preservation
- Notification timelines
- Root cause analysis for controls
- Remediation tracking
- Post-mortem documentation
- Auditor updates during incidents
- System recovery with compliance
- Evidence during outages
- Communication protocols
- Regulatory reporting triggers
Module 9. Continuous Monitoring Systems
Design real-time control monitoring that replaces point-in-time audits.
12 chapters in this module
- Control health dashboards
- Anomaly detection thresholds
- Automated control scoring
- Daily control validation jobs
- Alerting on control drift
- Executive reporting automation
- Trend analysis for audits
- Predictive control failure
- Integration with SIEM
- User behavior analytics
- Logging for monitoring systems
- Monitoring system redundancy
Module 10. Audit Preparation and Engineering Leadership
Lead technical audit readiness with confidence and precision.
12 chapters in this module
- Audit timeline planning
- Evidence walkthrough prep
- Engineer-auditor interaction scripts
- Sample selection strategy
- Control testing coordination
- Gap remediation sprints
- Documentation version control
- Auditor Q&A prep
- Cross-functional alignment
- Post-audit action tracking
- Lessons learned integration
- Continuous improvement backlog
Module 11. Scaling SOC 2 Across Systems
Replicate compliance patterns across product lines efficiently.
12 chapters in this module
- Compliance pattern library
- Template-based control design
- Centralized logging strategies
- Shared service ownership
- Cross-team alignment
- Compliance-as-code frameworks
- API gateways for control enforcement
- Federated evidence collection
- Standardized reporting formats
- Central compliance team role
- Knowledge transfer plans
- Maturity modeling
Module 12. Strategic Positioning for Engineers
Elevate your role from implementer to strategic advisor in compliance architecture.
12 chapters in this module
- Building internal credibility
- Presenting to compliance leaders
- Influencing policy with technical insight
- Mentoring junior engineers
- Cross-functional project leadership
- Speaking the auditor’s language
- Translating control needs to biz impact
- Negotiating scope with stakeholders
- Owning compliance narrative
- Personal brand in governance
- Career path in GRC tech
- Consulting vs full-time leverage
How this maps to your situation
- First 100 days in SOC 2 leadership role
- Leading multi-team compliance integration
- Transitioning from engineering to governance
- Positioning for higher-margin client work
Before vs. after
Before
Reactive participation in compliance cycles, manual evidence gathering, and last-minute audit prep.
After
Proactive control design, automated evidence pipelines, and leadership in SOC 2 implementation.
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 completion over 12 weeks with real-world application between chapters.
If nothing changes
Remaining in support mode limits your influence and keeps you out of high-visibility, high-margin compliance engineering opportunities.
How this compares to the alternatives
Unlike generic compliance courses, this program is built specifically for senior software engineers leading AI systems in regulated environments, focusing on code, architecture, and automation rather than policy abstraction.
Frequently asked
Is this course suitable for engineers without a security background?
Yes, if you lead AI infrastructure and work in a regulated environment, the course builds from engineering fundamentals to deep compliance integration.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to non-AI systems?
Absolutely, while examples focus on AI infrastructure, the control patterns apply universally to distributed systems.
$199 one-time. Approximately 3 hours per module, designed for completion over 12 weeks with real-world application between chapters..
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