A tailored course, built for your situation
Mastering SOC 2 for AI-Driven Transformation Architects
Build trusted, auditable AI systems 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.
AI transformations stall when audit readiness is an afterthought
The situation this course is for
Teams build fast, but slow down when assurance teams engage. Evidence gaps, misaligned controls, and late-cycle rework create friction between innovation and compliance. Practitioners lose influence when they can't speak both engineering and assurance fluently.
Who this is for
Senior technical leaders designing agentic AI systems under compliance mandates
Who this is not for
Junior auditors, entry-level compliance staff, or practitioners not involved in system design or control ownership
What you walk away with
- Artefacts and control mappings that gain immediate traction in peer review
- Credible positioning in vendor evaluation and architecture decisions
- Clearer communication with assurance teams using shared control language
- Faster iteration cycles due to embedded audit readiness
- Stronger influence in cross-functional technical planning sessions
The 12 modules (with all 144 chapters)
Module 1. SOC 2 in the Age of Agentic AI
Understand how traditional SOC 2 principles apply , and where they must evolve , in environments with autonomous agent behavior, dynamic workflows, and self-modifying logic. Learn to distinguish between agent-level controls and platform-level assertions.
12 chapters in this module
- How agentic systems challenge traditional control boundaries
- Mapping SOC 2 trust principles to autonomous behaviors
- Agent lifecycle controls for creation and deployment
- Differentiating between orchestration and autonomy risks
- Control ownership in distributed agent topologies
- Evidence sources for non-deterministic system paths
- Timing considerations for real-time agent monitoring
- Versioning controls for self-updating agents
- Scope boundaries when agents cross environments
- Documentation standards for agent decision logs
- Risk tiering for low vs high impact agent actions
- Integrating agent controls into existing frameworks
Module 2. Control Design for Dynamic Environments
Design controls that remain effective in rapidly changing AI systems. Focus on adaptability, observability, and auditability without sacrificing agility. Learn how to write controls that survive iteration.
12 chapters in this module
- Writing controls that do not break on deployment
- Adaptive access control patterns for agent roles
- Runtime permissioning vs static role assignment
- Dynamic resource provisioning and deprovisioning
- Event-driven control validation triggers
- Automated drift detection for policy enforcement
- Self-reporting control mechanisms in AI agents
- Control resilience under load and failure
- Version-aware control execution paths
- Temporal scope for time-bound access grants
- Agent-to-agent trust validation protocols
- Minimizing control overhead in high-frequency loops
Module 3. Evidence Architecture for Autonomous Systems
Structure evidence flows so they’re meaningful to auditors but lightweight for engineers. Learn how to balance automation, retention, and relevance in distributed systems.
12 chapters in this module
- Selecting high-signal logs from agent telemetry
- Structured logging formats for audit readiness
- Automated evidence bundling by control domain
- Retention policies aligned with audit cycles
- Immutable storage patterns for agent actions
- Cryptographic signing of evidence batches
- Sampling strategies for high-volume agent events
- Correlating logs across agent generations
- Human-readable summaries of machine activity
- Timestamp accuracy across distributed nodes
- Chain of custody for automated evidence
- Validation rules for evidence completeness
Module 4. Vendor Evaluation with SOC 2 in Mind
Lead vendor reviews with a clear framework for assessing third-party AI components. Know what evidence to request, how to evaluate it, and when to push back.
12 chapters in this module
- Assessing vendor SOC 2 reports beyond surface claims
- Identifying redacted sections and their implications
- Evaluating automation claims in vendor controls
- Checking for agent-specific control coverage
- Understanding shared responsibility boundaries
- Validating evidence relevance to your use case
- Scoping questions for AI service providers
- Reviewing incident response in agent failures
- Penetration testing disclosures in reports
- Change management for third-party agent updates
- Evaluating vendor update rollback capabilities
- Contractual levers for evidence access
Module 5. Building Consensus Across Security and Engineering
Navigate peer review meetings with credibility. Use precise control language to align teams that speak different technical dialects.
12 chapters in this module
- Translating SOC 2 requirements into engineering terms
- Common objections from platform engineering teams
- How to preempt 'this slows us down' pushback
- Using control diagrams in planning sessions
- Aligning sprint goals with control milestones
- Integrating control validation into CI/CD pipelines
- Facilitating joint threat modeling workshops
- Communicating risk without jargon
- Escalation paths for unresolved control gaps
- Balancing speed and assurance in MVP design
- Presenting progress to cross-functional leads
- Documenting assumptions for audit follow-up
Module 6. Automated Policy Enforcement Patterns
Embed compliance into the system through automated guardrails. Learn how to prevent out-of-compliance states before they occur.
12 chapters in this module
- Policy-as-code frameworks for AI systems
- Real-time policy evaluation at execution time
- Enforcement actions for policy violations
- Graceful degradation when policies block execution
- Centralized policy decision points
- Decentralized enforcement with audit trails
- Human-in-the-loop overrides with logging
- Testing policy logic before deployment
- Versioning policies alongside agent updates
- Rollback strategies for policy changes
- Monitoring policy effectiveness over time
- Feedback loops for policy refinement
Module 7. Incident Response for Agent Anomalies
Define clear protocols for when agents behave unexpectedly. Ensure your response maintains trust while allowing room for investigation.
12 chapters in this module
- Defining what constitutes an agent incident
- Detection thresholds for anomalous behavior
- Automated containment without overreach
- Human review workflows for flagged actions
- Chain of custody for forensic data
- Post-incident analysis templates
- Reporting requirements to external parties
- Agent rollback and reset procedures
- Lessons learned in agent control design
- Disclosure obligations in SOC 2 context
- Regulator expectations during incident periods
- Public statements without overcommitting
Module 8. Audit Readiness Through Design
Shift from reactive preparation to proactive readiness. Build systems where audit evidence is a natural byproduct, not a late effort.
12 chapters in this module
- Designing systems to generate useful logs
- Automated control testing in staging environments
- Continuous compliance dashboards
- Pre-audit walkthrough protocols
- Internal mock audits with engineering teams
- Handling auditor follow-up questions
- Common auditor misconceptions about AI
- Preparing narratives for non-deterministic systems
- Evidence sufficiency thresholds
- Addressing control gaps before review
- Leveraging past audit findings for improvement
- Maintaining readiness between cycles
Module 9. Stakeholder Communication for Technical Leaders
Frame technical decisions in ways that resonate with executives, legal, and compliance. Build broader support without oversimplifying.
12 chapters in this module
- Explaining agent transparency to non-technical leaders
- Summarizing risk posture in business terms
- Visualizing control coverage for executives
- Reporting progress without overpromising
- Handling questions about black box systems
- Setting realistic expectations for assurance
- Communicating trade-offs between speed and control
- Preparing for board-level inquiries
- Responding to regulator questions
- Public-facing messaging on AI safety
- Internal training for peer teams
- Documenting decision rationale for future reference
Module 10. Control Mapping for Complex Architectures
Map SOC 2 criteria to layered, distributed systems. Ensure every control has a clear owner, implementation, and evidence path.
12 chapters in this module
- Decomposing SOC 2 criteria into system components
- Assigning control ownership across teams
- Tracking control status in dynamic environments
- Maintaining maps through system changes
- Visual tools for control traceability
- Automated validation of control mappings
- Handling temporary control waivers
- Change approval workflows for control updates
- Cross-system dependencies in control design
- Service mesh considerations for access controls
- Multi-cloud control consistency
- Legacy system integration challenges
Module 11. Continuous Improvement in Assurance
Use audit feedback and operational data to refine controls. Make compliance smarter over time, not heavier.
12 chapters in this module
- Analyzing audit findings for root causes
- Prioritizing control improvements based on risk
- Automating remediation where possible
- Measuring control effectiveness over cycles
- Reducing false positives in monitoring
- Updating control designs based on incidents
- Incorporating new regulatory expectations
- Benchmarking against industry peers
- Simplifying controls without weakening them
- Training new team members on evolved practices
- Sharing improvements across teams
- Documenting changes for future auditors
Module 12. Sustaining Influence in Evolving Landscapes
Position yourself as the anchor point for trustworthy AI. Use structured knowledge to maintain leadership in shifting technical and regulatory environments.
12 chapters in this module
- Maintaining relevance as AI capabilities expand
- Expanding influence beyond initial scope
- Mentoring others in control practices
- Contributing to internal standards
- Representing your organization externally
- Staying ahead of regulatory changes
- Balancing innovation with responsibility
- Documenting institutional knowledge
- Succession planning for control ownership
- Evaluating new frameworks and tools
- Leading cross-company initiatives
- Building lasting credibility through consistency
How this maps to your situation
- AI system design under compliance mandates
- Cross-functional technical leadership
- Third-party vendor evaluation
- Audit and assurance engagement
Before vs. after
Before
You're designing complex agentic systems while fielding ad hoc questions about compliance and trust.
After
You lead with structured, auditable frameworks that earn peer trust and streamline review cycles.
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 90 minutes per week over 12 weeks, or self-paced with full access from day one.
If nothing changes
Without clear control design, even the most advanced AI systems face delays, rework, or loss of stakeholder confidence during assurance reviews.
How this compares to the alternatives
Unlike generic SOC 2 courses, this program focuses exclusively on the challenges of autonomous AI systems , where traditional controls fail and new patterns are required. No other course connects SOC 2 principles to agentic architecture with this level of technical specificity.
Frequently asked
Is this course focused on SOC 2 Type I or Type II?
It covers both, with emphasis on building systems that support continuous compliance required for Type II.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this apply to ISO 27001 as well?
The core control design principles transfer, but the course is optimized for SOC 2 frameworks as used in U.S. cloud service audits.
$199 one-time. Approximately 90 minutes per week over 12 weeks, or self-paced with full access from day one..
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