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SEC3181 Mastering SOC 2 for Software Engineering Leaders in IoT and AI Systems

$199.00
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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

$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

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)

Module 1. SOC 2 Foundations for Technical Architects
Understand how SOC 2 principles apply specifically to distributed systems, IoT devices, and AI workloads. Learn to distinguish between design-level and operation-level controls.
12 chapters in this module
  1. What SOC 2 means for engineering teams
  2. Trust Services Criteria in technical contexts
  3. Control vs. compliance ownership
  4. Mapping TSC to system boundaries
  5. Data flow and trust alignment
  6. Engineering ownership of availability
  7. Security as a design property
  8. Processing integrity in AI systems
  9. Boundary-setting for observability
  10. Control depth vs. coverage tradeoffs
  11. Audit evidence in microservices
  12. From framework to implementation
Module 2. Control Scoping for IoT Architectures
Define what systems and components fall within SOC 2 scope when managing fleets of connected devices and edge computing layers.
12 chapters in this module
  1. Device identity and control boundaries
  2. Edge-to-cloud data pipelines
  3. Secure boot and firmware updates
  4. Controlled access to diagnostics
  5. Network segmentation for compliance
  6. Firmware version tracking
  7. Remote wipe as a control
  8. Logging from low-power devices
  9. AuthN and AuthZ for sensors
  10. Scope inclusion criteria
  11. Inter-system dependencies
  12. Boundary exceptions documentation
Module 3. Data Access Governance in Machine Learning Systems
Establish governance over training data, model inputs, and inference outputs while maintaining SOC 2 compliance.
12 chapters in this module
  1. Training data provenance
  2. Access roles for data scientists
  3. Model card documentation
  4. Inference request logging
  5. Bias audit control points
  6. PII detection in NLP models
  7. Versioned datasets as evidence
  8. Access reviews for model endpoints
  9. Data retention policies
  10. Audit trails for model retraining
  11. SOC 2 controls for fine-tuning
  12. Automated control validation
Module 4. Automated Evidence Collection
Design systems that generate SOC 2 evidence continuously through logging, monitoring, and configuration tracking.
12 chapters in this module
  1. Logging for control verification
  2. Timestamp accuracy requirements
  3. Immutable log storage patterns
  4. Automated access review exports
  5. Configuration drift detection
  6. Real-time alerting thresholds
  7. Log retention compliance
  8. Chain of custody for evidence
  9. Sampling strategies for audits
  10. API-driven evidence pipelines
  11. Time-synchronized multi-system logs
  12. Evidence readiness scoring
Module 5. Vendor and Third-Party Control Mapping
Assign and verify control ownership when using cloud services, APIs, and managed platforms in SOC 2 environments.
12 chapters in this module
  1. Shared responsibility models
  2. AWS Azure GCP compliance roles
  3. Third-party API risk tiering
  4. Contractual control commitments
  5. Evidence from external providers
  6. Subprocessor documentation
  7. Audit report review protocols
  8. Penetration test coordination
  9. Incident response SLAs
  10. Control dependency tracking
  11. Fallback mechanisms during outages
  12. Vendor exit control plans
Module 6. Incident Response Under SOC 2
Integrate incident detection, escalation, and resolution into SOC 2 frameworks without compromising response speed.
12 chapters in this module
  1. Defining reportable incidents
  2. Response timelines as controls
  3. Post-incident review requirements
  4. Evidence preservation process
  5. Cross-team communication logs
  6. Mean time to resolve tracking
  7. Security event categorization
  8. False positive documentation
  9. Automated alert validation
  10. External reporting obligations
  11. Escalation path design
  12. Control effectiveness audits
Module 7. Change Management for Controlled Systems
Implement structured change control processes that support agility while meeting SOC 2 requirements.
12 chapters in this module
  1. Change advisory board scope
  2. Emergency change protocols
  3. Backout plan documentation
  4. Peer review requirements
  5. Deployment window policies
  6. Configuration management DB use
  7. Automated change detection
  8. Rollback success metrics
  9. Change impact assessments
  10. Version control integration
  11. Post-deployment validation
  12. Audit trail for configuration updates
Module 8. Control Ownership and RACI Design
Define clear RACI matrices for SOC 2 controls across engineering, security, and operations teams.
12 chapters in this module
  1. RACI for logging standards
  2. Control champion roles
  3. Engineering vs. GRC ownership
  4. Escalation paths for disputes
  5. Cross-functional control reviews
  6. Documentation authority
  7. Change approval workflows
  8. Evidence submission timelines
  9. Audit readiness accountability
  10. Team-level control KPIs
  11. Leadership sign-off automation
  12. Role continuity planning
Module 9. SOC 2 Readiness for AI Workloads
Adapt SOC 2 controls to AI-specific risks including model drift, data leakage, and unexplainable outputs.
12 chapters in this module
  1. Model drift detection controls
  2. Training data leakage prevention
  3. Explainability as a control
  4. Model performance thresholds
  5. Bias detection frequency
  6. Adversarial input monitoring
  7. Output validation mechanisms
  8. Human-in-the-loop requirements
  9. Model versioning controls
  10. Prompt injection defenses
  11. Fine-tuning access controls
  12. Model decommissioning
Module 10. Audit Preparation and Evidence Packaging
Compile and package evidence packages that reduce auditor follow-up and speed up report issuance.
12 chapters in this module
  1. Evidence completeness checklist
  2. Control narrative templates
  3. Timeline of control operation
  4. Sampling methodology documentation
  5. Auditor access provisioning
  6. Open item tracking system
  7. Pre-audit walkthrough process
  8. Response to inquiry templates
  9. Management representation letters
  10. Control exception reporting
  11. Remediation tracking
  12. Post-audit review integration
Module 11. Building Reusable Compliance Playbooks
Create institutional knowledge assets that accelerate future SOC 2 assessments and reduce team dependency on individuals.
12 chapters in this module
  1. Playbook structure design
  2. Version control for playbooks
  3. Onboarding new team members
  4. Updating playbooks quarterly
  5. Integrating audit feedback
  6. Cross-project playbook reuse
  7. Automated playbook validation
  8. Ownership rotation plans
  9. Searchable playbook systems
  10. Integration with ticketing tools
  11. Metrics for playbook effectiveness
  12. Knowledge retention strategy
Module 12. Scaling SOC 2 Across Product Lines
Extend SOC 2 compliance to multiple products or geographies using standardized yet adaptable control frameworks.
12 chapters in this module
  1. Control templating strategy
  2. Regional compliance variations
  3. Product-specific control gaps
  4. Centralized oversight models
  5. Distributed execution teams
  6. Consolidated evidence reporting
  7. Cross-product control audits
  8. Global team coordination
  9. Local legal requirement mapping
  10. Standardized documentation
  11. Efficiency metrics tracking
  12. 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

Before
Reliant on GRC teams to define SOC 2 control ownership and evidence standards.
After
Direct authority to define, approve, and document SOC 2 control decisions across engineering systems.

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

Who is this course designed for?
Software engineering leaders responsible for system design and compliance in IoT, data science, or AI environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover ISO 27001 or other frameworks?
No, it is focused exclusively on SOC 2 implementation in technical systems. The principles apply to engineering-centric compliance but do not substitute for framework-specific training.
$199 one-time. Approximately 8, 10 hours to complete all modules, with on-demand access for 12 months..

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