A tailored course, built for your situation
Mastering CIS Controls; A Step-by-Step Guide to Security Posture Execution
A tailored course for senior tech leads driving security execution at scale
$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.
Control validation packs that require last-minute evidence sourcing
The situation this course is for
Monthly or quarterly control reviews demand disproportionate effort due to fragmented evidence collection, unclear ownership, and tooling misalignment, especially when regulator or internal audit cycles accelerate.
Who this is for
Senior engineering leader in AI/ML infrastructure or platform teams at large tech firms, responsible for security posture, compliance readiness, and cross-functional control execution.
Who this is not for
Junior engineers, auditors, or consultants without direct ownership of control implementation in production AI systems.
What you walk away with
- Produce complete, auditor-ready control validation packages in under one workday
- Map CIS Controls to live infrastructure with precision across cloud, endpoints, and AI workloads
- Automate evidence collection at source using policy-as-code patterns aligned to CIS benchmarks
- Lead cross-functional control reviews without rework or escalation delays
- Build a living implementation playbook that survives team changes and platform shifts
The 12 modules (with all 144 chapters)
Module 1. Understanding CIS Controls in AI-Driven Environments
Establish the foundational mapping between CIS Controls and modern AI infrastructure, identifying high-impact controls for model training, data pipelines, and deployment security.
12 chapters in this module
- How CIS Controls apply to distributed AI workloads
- Differentiating baseline from critical security controls
- Control mapping for cloud-hosted model training clusters
- Identifying shadow infrastructure in large-scale AI systems
- The role of configuration hardening in model integrity
- Integrating CIS benchmarks with internal security policies
- Control scope for containerized inference environments
- Mapping controls to infrastructure-as-code templates
- Why control 4.14 matters for GPU cluster access
- Aligning CIS with internal red team findings
- Control ownership models in decentralized AI teams
- Versioning control mappings across AI project lifecycles
Module 2. Prioritizing Controls by Operational Impact
Learn to triage CIS Controls based on real-world risk exposure, system criticality, and incident telemetry from similar environments.
12 chapters in this module
- Using incident data to prioritize control implementation
- Scoring controls by exploit likelihood in AI systems
- Identifying high-impact controls for data leakage prevention
- Mapping control priority to system criticality tiers
- Benchmarking against peer AI infrastructure deployments
- Leveraging threat intelligence for control ranking
- Control prioritization during incident response
- Aligning with internal risk scoring frameworks
- Dynamic reprioritization after model deployment
- Control weighting for audit readiness
- Integrating uptime impact into control decisions
- Using telemetry to validate control effectiveness
Module 3. Automating Evidence Collection at Scale
Design automated pipelines that continuously gather and validate evidence for CIS Controls, reducing manual effort and increasing reliability.
12 chapters in this module
- Building evidence pipelines for control 1.5 compliance
- Integrating logging agents with control validation
- Automating user access reviews for privileged accounts
- Continuous monitoring of firewall rule changes
- Scripting evidence collection for endpoint security
- Validating configuration drift against CIS benchmarks
- Automating multi-cloud evidence aggregation
- Using CI/CD pipelines to enforce control checks
- Scheduling evidence runs without performance impact
- Storing evidence in auditor-accessible formats
- Versioning evidence outputs across control cycles
- Alerting on evidence pipeline failures
Module 4. Integrating CIS Controls into CI/CD Workflows
Embed security control validation directly into development pipelines to ensure compliance by default in AI system deployments.
12 chapters in this module
- Inserting control checks into model build pipelines
- Validating container images against CIS benchmarks
- Enforcing secure configuration in deployment templates
- Blocking non-compliant infrastructure from promotion
- Integrating control checks with pull request workflows
- Automating security policy enforcement in CI jobs
- Using policy-as-code tools for control validation
- Generating compliance reports from pipeline artifacts
- Handling false positives in automated control checks
- Updating control rules without breaking pipelines
- Auditing pipeline compliance decisions
- Scaling control integration across team repositories
Module 5. Mapping Controls to Infrastructure-as-Code
Translate CIS Controls into enforceable patterns within Terraform, Pulumi, and other IaC frameworks used in production environments.
12 chapters in this module
- Translating control 5.11 into Terraform modules
- Hardening default configurations in IaC templates
- Enforcing tagging policies for asset ownership
- Validating network security group rules in code
- Automating CIS compliance in IaC linting
- Managing secrets in IaC without exposure
- Versioning control-compliant IaC templates
- Sharing secure modules across engineering teams
- Updating IaC templates after control revisions
- Auditing IaC changes against control requirements
- Integrating IaC scanning into development workflows
- Documenting control coverage in IaC repositories
Module 6. Leading Cross-Team Control Implementation
Coordinate control rollout across infrastructure, security, and AI teams with clear ownership, timelines, and success metrics.
12 chapters in this module
- Establishing control implementation timelines
- Defining ownership for distributed control execution
- Running cross-functional control readiness reviews
- Communicating control progress to senior leadership
- Resolving ownership conflicts in shared systems
- Integrating control milestones into sprint planning
- Tracking control completion across business units
- Escalating blockers without slowing velocity
- Measuring control adoption across teams
- Recognizing teams for control excellence
- Updating playbooks based on team feedback
- Sustaining momentum after initial rollout
Module 7. Conducting Internal Control Validation Reviews
Lead efficient, evidence-based reviews that verify control effectiveness and identify gaps before external audits.
12 chapters in this module
- Scheduling quarterly control validation cycles
- Preparing evidence review checklists
- Conducting remote validation sessions
- Documenting control exceptions and mitigations
- Verifying evidence completeness and accuracy
- Interviewing control owners for validation
- Assessing control effectiveness over time
- Reporting findings to security leadership
- Tracking remediation of control gaps
- Integrating lessons into control playbooks
- Benchmarking validation efficiency across teams
- Reducing validation cycle time year over year
Module 8. Preparing for External Audits and Regulator Engagement
Streamline audit readiness by maintaining continuous compliance and structured evidence packages.
12 chapters in this module
- Anticipating auditor questions on CIS Controls
- Organizing evidence for SOC 2 or ISO 27001 alignment
- Preparing control narratives for external review
- Conducting pre-audit mock validation sessions
- Responding to auditor findings efficiently
- Documenting compensating controls clearly
- Maintaining versioned evidence archives
- Training teams on auditor interaction protocols
- Reducing audit follow-up cycles
- Using audit feedback to improve controls
- Aligning with regulator expectations in AI
- Demonstrating continuous improvement in control posture
Module 9. Building and Maintaining a Living Control Playbook
Create a dynamic, version-controlled document that evolves with infrastructure and control updates.
12 chapters in this module
- Structuring a living control playbook
- Versioning control implementations over time
- Linking playbook entries to evidence sources
- Updating playbooks after control revisions
- Integrating playbook updates into team onboarding
- Using playbooks for incident response alignment
- Documenting control exceptions and approvals
- Maintaining playbook accessibility across teams
- Auditing playbook change history
- Integrating playbook content into training
- Automating playbook updates from code changes
- Validating playbook completeness annually
Module 10. Measuring and Reporting Control Effectiveness
Define and track metrics that demonstrate the real-world impact of CIS Controls on security and operational resilience.
12 chapters in this module
- Defining KPIs for control effectiveness
- Measuring reduction in configuration drift
- Tracking mean time to remediate control gaps
- Correlating controls with incident reduction
- Reporting control maturity to leadership
- Benchmarking against industry peers
- Visualizing control coverage across systems
- Using dashboards for executive reporting
- Calculating ROI of control investments
- Linking control data to business outcomes
- Auditing control metrics for accuracy
- Improving metrics based on feedback
Module 11. Scaling Controls Across Global AI Infrastructure
Extend consistent control implementation across regions, clouds, and business units without sacrificing agility.
12 chapters in this module
- Standardizing control implementation globally
- Adapting controls for regional compliance needs
- Managing multi-cloud control consistency
- Synchronizing control rollouts across time zones
- Localizing playbook content for regional teams
- Centralizing control monitoring and reporting
- Empowering regional control champions
- Handling infrastructure exceptions at scale
- Auditing global control compliance
- Optimizing control tooling for distributed teams
- Reducing regional control implementation lag
- Maintaining control agility at scale
Module 12. Sustaining Control Excellence Through Team Changes
Ensure control knowledge and practices survive personnel changes and leadership transitions.
12 chapters in this module
- Onboarding engineers into control workflows
- Documenting control decisions and rationale
- Creating control mentorship programs
- Preserving institutional knowledge
- Updating playbooks after team restructuring
- Maintaining control ownership clarity
- Transferring control responsibilities smoothly
- Auditing control knowledge retention
- Integrating controls into team performance goals
- Celebrating control milestones organization-wide
- Linking control excellence to career growth
- Building a culture of continuous control improvement
How this maps to your situation
- Control implementation in AI infrastructure
- Cross-functional security coordination
- Audit and regulator readiness cycles
- Living documentation for compliance
Before vs. after
Before
Spending 80+ hours monthly compiling control validation evidence, chasing down ownership, and preparing for audit cycles with fragmented documentation and manual checks.
After
Producing auditor-ready control packages in under one workday using automated pipelines, clear ownership models, and a living implementation playbook that sustains compliance through team and platform changes.
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 per week for 12 weeks, or complete in focused sprints as needed.
If nothing changes
Without structured control execution, teams face recurring time sinks during audit cycles, increased risk of configuration drift in AI systems, and potential escalations during regulator reviews , all while velocity slows due to rework and unclear ownership.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses specifically on implementing CIS Controls within AI and large-scale infrastructure environments, with concrete templates and decision frameworks used in production at leading tech firms.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant for AI infrastructure teams?
Yes, every module includes applied examples from large-scale AI and machine learning environments, with control mappings specific to model training, data pipelines, and inference systems.
Can I use this for SOC 2 or ISO 27001 preparation?
Yes, the course includes crosswalks to SOC 2 and ISO 27001 requirements, with evidence packaging patterns that satisfy both frameworks.
$199 one-time. 90 minutes per week for 12 weeks, or complete in focused sprints as needed..
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