A tailored course, built for your situation
Mastering SOC 2 for AI and Agent Engineering Leaders
Build trusted, audit-ready AI systems with confidence and clarity
$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.
Even strong technical teams stall when asked to prove trust at scale
The situation this course is for
AI systems move fast, but when they hit compliance gates, everything slows. Documentation lacks traceability. Controls feel bolted on. Review cycles stretch. The result: missed timelines, deferred trust, and missed opportunities to lead.
Who this is for
Senior AI/ML engineer or technical lead building agent-based systems in regulated or scaling environments where compliance readiness matters
Who this is not for
Entry-level developers, non-technical stakeholders, or teams not delivering AI systems into production with compliance implications
What you walk away with
- Own the SOC 2 artefacts that underpin commercial AI deployments
- Anticipate and shape trust requirements before they become blockers
- Lead cross-functional reviews with confidence using pre-vetted control patterns
- Deliver regulator-ready documentation without rework
- Become the go-to resource when escalations land from peer teams or due diligence tracks
The 12 modules (with all 144 chapters)
Module 1. Foundations of SOC 2 in AI Systems
Establish the core principles of SOC 2 relevance to AI agents, focusing on trust services criteria as applied to autonomy, data lineage, and decision traceability.
12 chapters in this module
- What SOC 2 means for AI outputs
- Trust Services Criteria breakdown
- Mapping autonomy to controls
- Data provenance requirements
- Audit readiness vs compliance
- Role of explainability
- Defining system boundaries
- Identifying in-scope components
- Agent decision logging
- Real-time monitoring needs
- Control ownership models
- Compliance by design mindset
Module 2. Integrating SOC 2 Early in AI Development
Embed compliance thinking at the outset of agent design to avoid retrofitting, using templates to align engineering with assurance needs.
12 chapters in this module
- Shifting left on compliance
- Pre-build control scaffolding
- Architecture decision records
- Designing for evidence
- Control mapping templates
- Stakeholder alignment checklist
- Early-stage documentation
- Risk-based scoping
- Boundary definition process
- In-scope data flows
- Agent-to-environment trust
- Version-controlled artefacts
Module 3. Designing Trust into Autonomous Agents
Apply SOC 2 principles to agent behaviors, ensuring actions are attributable, auditable, and aligned with defined control objectives.
12 chapters in this module
- Agent identity management
- Action traceability standards
- Decision justification logging
- Input validation protocols
- Output consistency checks
- Self-monitoring capabilities
- Fail-safe modes
- Human-in-the-loop triggers
- Permissioned execution paths
- Session-level audit trails
- Time-stamped event chains
- Reproducibility requirements
Module 4. Data Flow and Provenance in Agent Systems
Ensure every data input, transformation, and output in an AI agent can be mapped and validated under SOC 2 data integrity criteria.
12 chapters in this module
- End-to-end data lineage
- Source verification methods
- Data freshness tracking
- Schema change logging
- Third-party data handling
- PII identification rules
- Data retention policies
- Deletion workflow design
- Cross-border data rules
- API call attribution
- Batch vs streaming tracking
- Metadata completeness
Module 5. Access Control for Agent Environments
Define and enforce granular access policies across agent development, deployment, and runtime environments to meet SOC 2 security criteria.
12 chapters in this module
- Role-based access design
- Machine identity setup
- Secrets management
- Key rotation schedules
- Agent-to-agent auth
- Developer sandbox rules
- Production access controls
- Break-glass procedures
- Audit trail coverage
- Session timeout policies
- Escalation path design
- Access review automation
Module 6. Change Management for AI Agents
Implement structured change workflows that preserve compliance posture across agent updates, tuning, and redeployment.
12 chapters in this module
- Version control integration
- Change approval workflows
- Impact assessment templates
- Peer review requirements
- Rollback readiness
- Emergency change protocols
- Release documentation
- Configuration drift detection
- Automated compliance checks
- Pre-deployment testing
- Post-release validation
- Change audit trail
Module 7. Incident Response for Autonomous Systems
Prepare agent architectures to detect, log, and respond to abnormal behaviors in ways that satisfy SOC 2 availability and security criteria.
12 chapters in this module
- Anomaly detection setup
- Behavior thresholding
- Automated alerting
- Response playbook design
- Agent pause mechanisms
- Manual override paths
- Escalation routing
- Incident logging standards
- Post-mortem integration
- Root cause tracking
- Remediation evidence capture
- Regulator-facing reporting
Module 8. Vendor and Third-Party Risk in Agent Stacks
Assess and document third-party dependencies in AI agent stacks to meet SOC 2 requirements for oversight and control.
12 chapters in this module
- Vendor control questionnaires
- Subprocessor mapping
- Contractual obligations
- Evidence collection process
- Risk tiering model
- Audit rights negotiation
- Compliance coverage gaps
- Monitoring third-party logs
- Third-party incident response
- Exit strategy planning
- SLA tracking
- Performance benchmarking
Module 9. Continuous Monitoring and Testing
Implement automated control testing and monitoring to maintain real-time SOC 2 readiness in dynamic AI environments.
12 chapters in this module
- Automated control checks
- Daily control validation
- Logging completeness checks
- Access review automation
- Drift detection rules
- Threshold alerting
- Evidence aggregation
- Dashboard design for ops
- Executive summary setup
- External auditor access
- Evidence retention rules
- System health reporting
Module 10. Preparing for External Audits
Streamline auditor onboarding and evidence delivery using pre-built templates and standardized narratives tailored to AI systems.
12 chapters in this module
- Auditor onboarding package
- Evidence directory structure
- Narrative templates
- Control descriptions
- Sample selection process
- Access provisioning
- Q&A preparation
- Evidence versioning
- Timeline coordination
- Legal hold readiness
- Deficiency tracking
- Follow-up response drafting
Module 11. Cross-Functional Leadership in Compliance
Lead effective collaboration between engineering, security, legal, and finance teams using shared frameworks and clear ownership.
12 chapters in this module
- Stakeholder mapping
- RACI for controls
- Weekly sync cadence
- Decision log maintenance
- Escalation protocols
- Conflict resolution
- Shared terminology
- Status reporting
- Resource negotiation
- Budget alignment
- Risk communication
- Executive update prep
Module 12. Sustaining Compliance at Scale
Design systems that compound compliance effort, turning one-time work into reusable patterns across future agent projects.
12 chapters in this module
- Playbook documentation
- Template library creation
- Control reuse standards
- Architecture patterns
- Knowledge transfer plan
- Onboarding process
- Succession planning
- Leadership handoff
- Compliance debt tracking
- Maturity assessment
- Continuous improvement
- Feedback loop integration
How this maps to your situation
- Agent in commercial workflow delivery
- Facing internal compliance review
- Supporting M&A due diligence
- Responding to regulator-facing requests
Before vs. after
Before
Compliance is reactive, documentation lags, and escalations feel unpredictable.
After
You lead with trusted artefacts, anticipate review needs, and own high-stakes handoffs.
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 self-paced learning with just 20 minutes a day to complete the full course in six weeks.
If nothing changes
Without sharpening trust design in AI systems, even advanced agents stall at compliance gates , delaying launches, weakening credibility, and ceding influence to those who can deliver ready-to-review systems.
How this compares to the alternatives
Unlike generic compliance courses, this program is built specifically for AI engineers who must deliver systems that pass real-world trust scrutiny , not theoretical frameworks. No other course ties SOC 2 directly to agent architectures, decision logging, and autonomous behavior validation.
Frequently asked
Is this course technical or compliance-focused?
It’s designed for technical practitioners who need to build systems that satisfy compliance requirements , bridging engineering and assurance.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me in M&A or due diligence scenarios?
Yes , the course prepares you to own the artefacts that get handed off during high-stakes reviews, such as M&A due diligence and regulator-facing submissions.
$199 one-time. Approximately 3 hours per module, designed for self-paced learning with just 20 minutes a day to complete the full course in six weeks..
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