A tailored course, built for your situation
Direct influence over data governance framework decisions at scale using CIS Controls
A tailored path to owning the architecture and control narrative in your current role
Who this is for
Senior individual contributor in data engineering at a high-velocity tech company, operating at the intersection of infrastructure, compliance, and control frameworks.
Who this is not for
Managers looking for team-wide training, entry-level engineers, or anyone seeking certification prep.
What you walk away with
- Own the mapping between data systems and CIS Controls with documented rationale
- Lead control implementation discussions without escalation
- Anticipate audit questions and structure evidence proactively
- Integrate CIS Controls into CI/CD pipelines with repeatable templates
- Become the internal reference for configuration standards across teams
The 12 modules (with all 144 chapters)
- What makes CIS Controls different
- How v8 reorganized control families
- The role of data systems in control scope
- Defining 'inventory' in modern data stacks
- Configuration compliance for data nodes
- Automated validation touchpoints
- Mapping data services to control 1
- Control 2 asset management nuances
- Service accounts and control 4
- Logging requirements under control 6
- Network segmentation for data clusters
- Time-bound access in control 5
- Designing for audit readiness
- Tagging strategy for compliance
- Schema evolution under control 7
- Secure pipeline orchestration
- Pipeline monitoring thresholds
- Logging data access patterns
- Pipeline ownership metadata
- Data lineage as control evidence
- Version control for ETL jobs
- Environment segregation patterns
- Secrets management integration
- Pipeline-level CIS alignment
- Container image hardening
- Pod-level compliance checks
- Node configuration baselines
- Kubernetes CIS benchmark alignment
- Serverless runtime security
- Event-driven architecture risks
- API gateway control points
- Service mesh compliance
- Data serialization standards
- Configuration drift detection
- Auto-remediation workflows
- Control evidence at scale
- Log aggregation from data layers
- Automated control status reports
- Query patterns for auditor requests
- Dashboarding control compliance
- Automated SoA generation
- Time-series validation checks
- Drift detection intervals
- Scheduled control verification
- Exportable evidence bundles
- Immutable logging setup
- Cross-account log routing
- Evidence lifecycle management
- AWS Config rules for data services
- GCP Security Command Center
- Azure Policy compliance
- CloudTrail for data access
- VPC flow log analysis
- S3 bucket encryption enforcement
- BigQuery audit metadata
- Data transfer monitoring
- Cloud-native logging integration
- Managed service compliance
- Cross-cloud control consistency
- Cloud control ownership model
- Justifying control exceptions
- Tailoring control scope
- Documenting implementation tradeoffs
- Risk-based control adjustments
- Temporary exemptions process
- Control substitution logic
- Organization-specific control additions
- Maintaining CIS alignment
- Version upgrade pathways
- Peer review for control changes
- Change audit trails
- Control rationalization framework
- Translating control language
- Security playbooks for engineers
- Compliance onboarding workshops
- Cross-functional control reviews
- Incident response integration
- Post-mortem compliance updates
- Engineering feedback loops
- Security champion networks
- Product team collaboration
- Legal alignment on control scope
- Audit readiness workshops
- Control awareness materials
- Pre-commit hooks for compliance
- CI pipeline security gates
- Infrastructure as code linting
- Static analysis for control gaps
- Dynamic testing integration
- Container scan policies
- Pull request compliance checks
- Developer feedback mechanisms
- Secure template libraries
- Automated control documentation
- Release gate criteria
- Rollback compliance checks
- Log schema standardization
- Centralized log routing
- Real-time anomaly detection
- User behavior analytics
- Data access threshold alerts
- Log retention compliance
- Threat detection playbooks
- Automated response workflows
- Incident escalation paths
- Forensic readiness setup
- Retention policy enforcement
- Log integrity verification
- Vendor compliance questionnaires
- CIS alignment in contracts
- Third-party audit evidence
- SaaS configuration reviews
- API security baselines
- Data residency compliance
- Subprocessor oversight
- Vendor risk scoring
- Continuous monitoring setup
- Onboarding compliance gates
- Exit process controls
- Vendor control exception tracking
- Pre-audit evidence packages
- Audit scope negotiation
- Finding response templates
- Evidence trail navigation
- Real-time audit support
- Automated auditor access
- Control narrative documentation
- Audit follow-up workflows
- Management response drafting
- Evidence version control
- Corrective action timelines
- Post-audit improvement plans
- Control ownership documentation
- Knowledge transfer protocols
- Succession planning for controls
- Framework change monitoring
- Industry update tracking
- Control review cadence
- Training for new hires
- External threat intelligence
- Regulatory alignment tracking
- Benchmark evolution planning
- Community engagement strategies
- Internal control advocacy
How this maps to your situation
- When rolling out new data infrastructure
- Before audit season begins
- During cloud migration
- After a control failure or finding
Before vs. after
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 3-4 hours per module, designed to be completed over 6-8 weeks with real-world application between modules.
How this compares to the alternatives
Unlike generic compliance courses, this is tailored to data engineering contexts and CIS Controls implementation at tech-first organizations, with concrete patterns used at firms like Meta, AWS, and Stripe.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.