A tailored course, built for your situation
Mastering NIST CSF for Principal Information Security Engineers
Build repeatable security frameworks that compound across Cyber AI initiatives
$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.
Reinventing the wheel on every Cyber AI compliance task drains time and dilutes impact
The situation this course is for
Senior security engineers waste cycles rebuilding similar NIST CSF mappings, control validations, and audit packages for each new project, even when risks and systems repeat. This rework delays deployments, increases variance in quality, and hides the compounding value of their expertise.
Who this is for
Principal-level information security engineers leading AI-integrated security initiatives in regulated enterprises
Who this is not for
Junior compliance analysts, auditors without technical implementation roles, or practitioners not working with NIST CSF or Cyber AI systems
What you walk away with
- Produce reusable control implementation templates aligned with NIST CSF Core Functions
- Develop a personal library of validated security patterns applicable across Cyber AI projects
- Accelerate future NIST CSF assessments by 50% using prior artefacts as baseline
- Demonstrate measurable growth in security throughput across engagements
- Establish internal reference status for AI-driven compliance frameworks
The 12 modules (with all 144 chapters)
Module 1. Foundations of NIST CSF in AI-Enhanced Environments
Establish context for applying NIST CSF to Cyber AI systems, focusing on Identify and Protect functions in dynamic threat landscapes.
12 chapters in this module
- Defining Cyber AI boundaries
- Mapping assets to NIST CSF subcategories
- Identifying regulatory touchpoints
- Classifying data sensitivity levels
- Integrating threat modeling outputs
- Establishing risk tolerance baselines
- Documenting governance roles
- Leveraging existing SOC 2 overlaps
- Tracking control ownership
- Versioning framework decisions
- Aligning with ISO 27001 where applicable
- Setting success metrics
Module 2. Developing Reusable Control Patterns
Design modular control implementations that can be adapted across projects without rework.
12 chapters in this module
- Identifying recurring control needs
- Building template checklists
- Parameterizing control logic
- Creating decision trees for exceptions
- Standardizing evidence collection
- Automating control validation
- Versioning control templates
- Tagging by system type
- Indexing for searchability
- Documenting assumptions
- Maintaining change logs
- Linking to audit trails
Module 3. Automated Detection Mapping
Integrate NIST CSF Detect function with AI-driven monitoring systems for consistent threat visibility.
12 chapters in this module
- Aligning logs to NIST Detect categories
- Configuring anomaly thresholds
- Correlating AI alerts with control gaps
- Prioritizing incident playbooks
- Validating detection coverage
- Benchmarking detection speed
- Reducing false positives
- Integrating with SIEM rules
- Feeding back into training data
- Documenting detection efficacy
- Maintaining alert baselines
- Updating detection logic
Module 4. Incident Response Playbook Integration
Embed NIST CSF Respond function into repeatable, AI-aware incident workflows.
12 chapters in this module
- Classifying incident types
- Pre-authorizing response actions
- Defining escalation thresholds
- Embedding legal holds
- Orchestrating cross-team comms
- Automating initial triage
- Validating containment steps
- Preserving forensic data
- Integrating with EDR tools
- Updating IR playbooks
- Documenting lessons learned
- Maintaining response metrics
Module 5. Recovery Framework Design
Create scalable recovery patterns aligned with NIST CSF Recovery function and AI system dependencies.
12 chapters in this module
- Mapping AI model dependencies
- Defining recovery SLAs
- Validating backup integrity
- Automating recovery checks
- Testing rollback procedures
- Documenting system interdependencies
- Coordinating with DevOps
- Updating runbooks
- Measuring recovery success
- Incorporating AI retraining
- Validating data consistency
- Securing recovery environments
Module 6. Governance Artefact Assembly
Build standardized packages for leadership review and audit readiness using NIST CSF structure.
12 chapters in this module
- Compiling control inventories
- Generating executive summaries
- Producing compliance dashboards
- Aligning with board-level priorities
- Documenting risk exceptions
- Maintaining control gaps register
- Creating audit trails
- Generating attestation packages
- Linking to regulatory requirements
- Updating compliance status
- Securing artefact storage
- Versioning governance outputs
Module 7. Third-Party Risk Integration
Extend NIST CSF controls to vendors and partners in AI supply chains.
12 chapters in this module
- Assessing vendor AI maturity
- Scoping vendor audits
- Mapping third-party controls
- Validating security assurances
- Monitoring ongoing compliance
- Integrating vendor data
- Managing subcontractor risks
- Conducting remote assessments
- Documenting due diligence
- Updating vendor scorecards
- Negotiating control alignment
- Tracking remediation progress
Module 8. AI Model Security Baselines
Apply NIST CSF principles to the development, deployment, and monitoring of AI models.
12 chapters in this module
- Defining model inventory standards
- Validating training data provenance
- Securing model pipelines
- Monitoring for drift
- Detecting adversarial attacks
- Auditing model decisions
- Documenting ethical constraints
- Enforcing access controls
- Logging model interactions
- Updating retraining triggers
- Assessing explainability needs
- Aligning with fairness standards
Module 9. Control Automation with Scripting
Turn manual NIST CSF validations into automated, repeatable checks.
12 chapters in this module
- Identifying automatable controls
- Writing validation scripts
- Scheduling control checks
- Integrating with CI/CD
- Handling false positives
- Logging automated results
- Versioning scripts
- Securing automation code
- Monitoring script uptime
- Updating for system changes
- Documenting automation scope
- Scaling across environments
Module 10. Knowledge Transfer Systems
Design documentation and training assets that preserve institutional knowledge.
12 chapters in this module
- Creating onboarding packages
- Building searchable knowledge bases
- Recording decision rationales
- Developing training modules
- Maintaining versioned playbooks
- Indexing by use case
- Tagging by ownership
- Securing access controls
- Updating for policy changes
- Validating understanding
- Measuring adoption rates
- Integrating with LMS
Module 11. Metrics That Compound
Track and leverage security outcomes to demonstrate growing efficiency and impact.
12 chapters in this module
- Defining baseline metrics
- Measuring rework reduction
- Tracking artefact reuse
- Calculating time savings
- Benchmarking across teams
- Visualizing progress
- Reporting efficiency gains
- Linking to audit outcomes
- Demonstrating risk reduction
- Updating KPIs
- Maintaining dashboards
- Communicating results
Module 12. Scaling the Security Framework
Replicate and adapt the compounding security model across business units and new technologies.
12 chapters in this module
- Identifying expansion opportunities
- Adapting to cloud environments
- Integrating with DevSecOps
- Extending to IoT systems
- Applying to M&A targets
- Training new teams
- Maintaining consistency
- Updating governance model
- Scaling automation
- Incorporating feedback
- Documenting scaling lessons
- Planning next-phase adoption
How this maps to your situation
- When onboarding a new AI system
- Prior to annual compliance review
- After a control gap is identified
- During vendor security evaluation
Before vs. after
Before
Starting from scratch on each Cyber AI security initiative, duplicating effort and missing opportunities to leverage past work
After
Leveraging a growing library of reusable NIST CSF artefacts that reduce rework, accelerate delivery, and amplify impact across engagements
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters total)
- 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 to be completed at your pace over 6-8 weeks
If nothing changes
Continuing to rebuild compliance frameworks from the ground up means missed opportunities to scale security impact, wasted engineering cycles, and slower response to evolving AI threats.
How this compares to the alternatives
Unlike generic NIST CSF training, this course focuses on creating compounding value through reusable artefacts tailored to Cyber AI environments, giving you measurable efficiency gains others can't replicate.
Frequently asked
Who is this course for?
Principal-level security engineers leading Cyber AI initiatives who want to reduce rework and increase leverage through repeatable frameworks.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this work if my organization uses a different framework?
NIST CSF is designed to be flexible, this course teaches how to adapt it to any security program, with integration points to ISO 27001, COBIT, and others.
$199 one-time. Approximately 3 hours per module, designed to be completed at your pace over 6-8 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