A tailored course, built for your situation
Mastering SOC 2 for Software Engineering Leaders in IoT and AI Systems
Build compliance into system design with confidence and precision
Who this is for
Senior engineering leader in IoT, AI, or data-intensive systems shaping compliance-informed architecture
Who this is not for
Individuals seeking entry-level compliance training or roles outside technical system ownership
What you walk away with
- Own final approval on SOC 2 control scoping and boundary documentation
- Make binding decisions on control ownership across data pipelines and AI models
- Define evidence standards for automated logging and access reviews in distributed systems
- Lead audit-ready SOC 2 deployments without deferring to GRC teams
- Deploy a reusable control mapping playbook tailored to IoT and machine learning environments
The 12 modules (with all 144 chapters)
- What SOC 2 means for engineering teams
- Trust Services Criteria in technical contexts
- Control vs. compliance ownership
- Mapping TSC to system boundaries
- Data flow and trust alignment
- Engineering ownership of availability
- Security as a design property
- Processing integrity in AI systems
- Boundary-setting for observability
- Control depth vs. coverage tradeoffs
- Audit evidence in microservices
- From framework to implementation
- Device identity and control boundaries
- Edge-to-cloud data pipelines
- Secure boot and firmware updates
- Controlled access to diagnostics
- Network segmentation for compliance
- Firmware version tracking
- Remote wipe as a control
- Logging from low-power devices
- AuthN and AuthZ for sensors
- Scope inclusion criteria
- Inter-system dependencies
- Boundary exceptions documentation
- Training data provenance
- Access roles for data scientists
- Model card documentation
- Inference request logging
- Bias audit control points
- PII detection in NLP models
- Versioned datasets as evidence
- Access reviews for model endpoints
- Data retention policies
- Audit trails for model retraining
- SOC 2 controls for fine-tuning
- Automated control validation
- Logging for control verification
- Timestamp accuracy requirements
- Immutable log storage patterns
- Automated access review exports
- Configuration drift detection
- Real-time alerting thresholds
- Log retention compliance
- Chain of custody for evidence
- Sampling strategies for audits
- API-driven evidence pipelines
- Time-synchronized multi-system logs
- Evidence readiness scoring
- Shared responsibility models
- AWS Azure GCP compliance roles
- Third-party API risk tiering
- Contractual control commitments
- Evidence from external providers
- Subprocessor documentation
- Audit report review protocols
- Penetration test coordination
- Incident response SLAs
- Control dependency tracking
- Fallback mechanisms during outages
- Vendor exit control plans
- Defining reportable incidents
- Response timelines as controls
- Post-incident review requirements
- Evidence preservation process
- Cross-team communication logs
- Mean time to resolve tracking
- Security event categorization
- False positive documentation
- Automated alert validation
- External reporting obligations
- Escalation path design
- Control effectiveness audits
- Change advisory board scope
- Emergency change protocols
- Backout plan documentation
- Peer review requirements
- Deployment window policies
- Configuration management DB use
- Automated change detection
- Rollback success metrics
- Change impact assessments
- Version control integration
- Post-deployment validation
- Audit trail for configuration updates
- RACI for logging standards
- Control champion roles
- Engineering vs. GRC ownership
- Escalation paths for disputes
- Cross-functional control reviews
- Documentation authority
- Change approval workflows
- Evidence submission timelines
- Audit readiness accountability
- Team-level control KPIs
- Leadership sign-off automation
- Role continuity planning
- Model drift detection controls
- Training data leakage prevention
- Explainability as a control
- Model performance thresholds
- Bias detection frequency
- Adversarial input monitoring
- Output validation mechanisms
- Human-in-the-loop requirements
- Model versioning controls
- Prompt injection defenses
- Fine-tuning access controls
- Model decommissioning
- Evidence completeness checklist
- Control narrative templates
- Timeline of control operation
- Sampling methodology documentation
- Auditor access provisioning
- Open item tracking system
- Pre-audit walkthrough process
- Response to inquiry templates
- Management representation letters
- Control exception reporting
- Remediation tracking
- Post-audit review integration
- Playbook structure design
- Version control for playbooks
- Onboarding new team members
- Updating playbooks quarterly
- Integrating audit feedback
- Cross-project playbook reuse
- Automated playbook validation
- Ownership rotation plans
- Searchable playbook systems
- Integration with ticketing tools
- Metrics for playbook effectiveness
- Knowledge retention strategy
- Control templating strategy
- Regional compliance variations
- Product-specific control gaps
- Centralized oversight models
- Distributed execution teams
- Consolidated evidence reporting
- Cross-product control audits
- Global team coordination
- Local legal requirement mapping
- Standardized documentation
- Efficiency metrics tracking
- Lessons learned sharing
How this maps to your situation
- New SOC 2 initiative starting in IoT product line
- AI/ML system requiring compliance controls
- Audit evidence gaps in logging and access reviews
- Need for standardized control ownership across teams
Before vs. after
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 8, 10 hours to complete all modules, with on-demand access for 12 months.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses specifically on SOC 2 implementation within IoT and AI systems led by engineering managers. It provides concrete decision frameworks rather than theoretical overviews.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.