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SEC6448 Mastering SOC 2 for Decision Science Practitioners

$199.00
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A tailored course, built for your situation

Mastering SOC 2 for Decision Science Practitioners

Build authoritative, audit-ready compliance design into your data systems from day one

$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

Mid-level decision science or analytics professional in a consulting or systems integration firm, working at the intersection of data modeling and compliance readiness, often contributing to evidence packages for SOC 2, ISO 27001, or internal audit reviews.

Who this is not for

Entry-level analysts without ownership of control logic, auditors focused solely on review (not design), or compliance officers outside technical data workflows.

What you walk away with

  • Produce compliance-ready data models that preempt auditor follow-ups
  • Position your analysis as the default starting point in SOC 2 evidence planning
  • Translate control requirements into testable decision logic frameworks
  • Document design rationale to withstand senior review and cross-functional challenge
  • Reduce rework by aligning modeling outputs with auditor expectations up front

The 12 modules (with all 144 chapters)

Module 1. The Decision Scientist's Role in SOC 2 Compliance
Understand how modern compliance audits rely on data integrity and control automation, and where decision science creates leverage in evidence design.
12 chapters in this module
  1. How SOC 2 audits now depend on underlying data logic
  2. Why decision models are becoming audit evidence
  3. Mapping control objectives to data flow design
  4. The shift from checklist compliance to engineered assurance
  5. How consultants use modeling to de-risk audit cycles
  6. Three types of decision artifacts now referenced in SOC 2 reports
  7. Linking control effectiveness to model explainability
  8. The role of assumptions in compliance-adjacent modeling
  9. Auditor expectations for version-controlled logic
  10. Designing for audit reproducibility from the start
  11. How the firm teams structure early-cycle evidence
  12. Case example: turning a risk scoring model into a control
Module 2. Decoding the Trust Services Criteria for Data Work
Break down each TSC category and identify where decision science work impacts compliance outcomes.
12 chapters in this module
  1. Security criterion: how access logic becomes evidence
  2. Availability: modeling uptime and failover decisions
  3. Processing integrity: when accuracy is a control
  4. Confidentiality: data handling in model pipelines
  5. Privacy: where consent logic meets consent records
  6. How decision logs satisfy 'monitoring' requirements
  7. Control scope for probabilistic or adaptive models
  8. Risk-based thresholds as documented controls
  9. When model drift triggers control review
  10. Documenting overrides and manual interventions
  11. Designing for data lineage in audit trails
  12. Linking model inputs to upstream system controls
Module 3. From Control Objective to Decision Architecture
Reverse-engineer compliance statements into technical design requirements for models and pipelines.
12 chapters in this module
  1. Translating 'no unauthorized access' into logic rules
  2. Building access validation into data pre-processing
  3. Designing for time-bound data retention policies
  4. Modeling exception handling as a control layer
  5. When to hard-code vs. parameterize control logic
  6. Using decision trees to map control paths
  7. Documenting control-aware model specifications
  8. Integrating control flags into output scoring
  9. Versioning logic changes with audit trails
  10. How to scope 'reasonable assurance' in models
  11. Balancing automation with auditor interpretability
  12. Case: embedding dual-control logic in scoring engines
Module 4. Designing Audit-Ready Decision Outputs
Structure model outputs so they serve both operational and compliance purposes.
12 chapters in this module
  1. What auditors look for in model outputs
  2. Including control metadata in scoring results
  3. Designing for re-execution and verification
  4. Logging inputs, parameters, and execution context
  5. Timestamping decisions for audit trail alignment
  6. Using deterministic seeds for reproducibility
  7. Capturing rationale for non-standard decisions
  8. Masking sensitive data without breaking traceability
  9. Designing outputs for third-party validation
  10. When to separate operational vs. audit views
  11. Building in attestable decision boundaries
  12. Example: generating SOC 2-friendly risk flags
Module 5. Building Evidence into Model Development
Embed compliance readiness into the modeling lifecycle from design to deployment.
12 chapters in this module
  1. Including control checks in model documentation
  2. Versioning models with compliance impact notes
  3. Using model cards as proto-audit narratives
  4. Integrating peer review into control validation
  5. Automating control assertions in CI/CD pipelines
  6. Testing for control integrity during retraining
  7. Auditable changelogs for parameter updates
  8. Flagging high-risk model changes early
  9. How to document assumptions for auditors
  10. Linking model performance to control stability
  11. Handling deprecation with compliance notice
  12. Example: audit trail for a fraud scoring update
Module 6. Control Mapping for Decision Systems
Create clear, defensible links between compliance requirements and technical implementation.
12 chapters in this module
  1. Mapping TSC points to model components
  2. Using traceability matrices for decision logic
  3. Documenting logic paths for auditor walkthroughs
  4. Linking input validation to access controls
  5. How scoring thresholds serve as control points
  6. Designing for auditor retesting of logic
  7. Building control narratives into model specs
  8. Using flowcharts to map decision controls
  9. Annotating code for compliance clarity
  10. How to handle third-party model components
  11. Documenting override authority and logging
  12. Case: mapping a credit decision engine to SOC 2
Module 7. Model Explainability as Compliance Asset
Use interpretability techniques to satisfy auditor demands for transparency.
12 chapters in this module
  1. When 'black box' is not acceptable for compliance
  2. Using SHAP values as evidence of fairness
  3. Generating decision-level justifications
  4. Documenting feature importance for auditors
  5. Building model summaries for non-technical review
  6. How LIME can support control validation
  7. Designing for audit-ready sensitivity analysis
  8. Logging counterfactuals for exception review
  9. Using rule extraction to simplify audit paths
  10. Balancing accuracy with explainability needs
  11. When to simplify models for compliance clarity
  12. Example: explaining a lending model to assurance
Module 8. Data Lineage in Decision Workflows
Ensure end-to-end traceability of data from source to decision output.
12 chapters in this module
  1. Why lineage matters for SOC 2 compliance
  2. Documenting data transformation steps
  3. Tagging data with provenance metadata
  4. Using metadata to show authorized sources
  5. Tracking data movement across environments
  6. Linking model inputs to data governance policies
  7. Auditing for unauthorized data mixing
  8. Using logs to reconstruct decision paths
  9. Validating data freshness in control context
  10. How to handle anonymized or synthetic data
  11. Building lineage into model documentation
  12. Tooling options for automated lineage capture
Module 9. Version Control and Change Management
Implement robust processes for managing changes to decision logic.
12 chapters in this module
  1. Why model versioning is a compliance requirement
  2. Using Git for model and logic tracking
  3. Tagging versions with control impact notes
  4. Change approval workflows for logic updates
  5. How to scope minor vs. major model changes
  6. Automated testing for control integrity
  7. Documenting rollback procedures for auditors
  8. Auditing access to model repositories
  9. Using CI/CD for compliance-safe deployment
  10. How to handle emergency model updates
  11. Linking version history to audit evidence
  12. Example: change log for a risk threshold update
Module 10. Third-Party and Vendor Risk in Models
Address compliance risks when using external data, APIs, or tools.
12 chapters in this module
  1. Assessing vendor compliance posture for data inputs
  2. Documenting API usage in decision logic
  3. Evaluating third-party model risk exposure
  4. Using contracts to enforce data handling standards
  5. Auditing for unauthorized data forwarding
  6. Building in fallbacks for external dependencies
  7. How to validate external data integrity
  8. Mapping vendor SLAs to control requirements
  9. When to flag vendor risk in model outputs
  10. Documenting open-source component use
  11. Reviewing license compliance in model stacks
  12. Case: compliance review of a credit bureau API
Module 11. Automation and Monitoring of Controls
Use continuous monitoring to maintain compliance in dynamic systems.
12 chapters in this module
  1. Designing automated control checks in pipelines
  2. Using dashboards to track control health
  3. Alerting on model drift or data skew
  4. Automated revalidation of control logic
  5. Logging control violations for review
  6. Setting thresholds for manual review
  7. Integrating with SIEM and logging platforms
  8. Using anomaly detection for control gaps
  9. Designing for auditor access to logs
  10. How to report control status to leadership
  11. Building compliance KPIs into monitoring
  12. Example: real-time alert for access policy breach
Module 12. The Practitioner's Guide to Audit Engagement
Navigate auditor interactions with confidence and authority.
12 chapters in this module
  1. How auditors assess decision logic
  2. Preparing for walkthroughs with evidence
  3. Using model documentation as audit package
  4. Responding to auditor inquiries on logic
  5. Clarifying the role of probabilistic outputs
  6. Demonstrating control consistency over time
  7. Handling follow-up requests efficiently
  8. When to escalate technical concerns
  9. Building rapport with assurance teams
  10. Translating model behavior into control narrative
  11. Using visual aids in auditor briefings
  12. Turning audit feedback into model improvements

How this maps to your situation

  • SOC 2 audit preparation
  • Model compliance integration
  • Control documentation design
  • Audit engagement readiness

Before vs. after

Before
Compliance asks feel like afterthoughts; your models get reworked during audits.
After
Your design is the starting point for SOC 2 evidence, recognized by internal and external assurance teams.

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: 90 minutes of focused reading and implementation planning, designed for completion in one Sunday morning.

If nothing changes
Without structured compliance integration, your models may require costly rework during audits, reducing their strategic value and visibility.

How this compares to the alternatives

Unlike generic SOC 2 training, this course focuses on the unique role of decision science in compliance, showing how to turn modeling work into audit-ready artifacts , not just theory, but field-tested structure for real engagements.

Frequently asked

Is this course only for people in consulting firms?
No, but it's tailored for practitioners who influence compliance outcomes through data and decision design, especially in advisory or integration roles.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me if I don’t own compliance directly?
Yes. The course is designed for technical contributors whose work becomes evidence in audits, even if you don’t lead the compliance function.
$199 one-time. 90 minutes of focused reading and implementation planning, designed for completion in one Sunday morning..

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
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