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SEC0837 Mastering CIS Controls for Principal AI Consultants

$199.00
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What is the CIS Controls for Principal AI Consultants course about?

Even experienced consultants waste time reconstructing control logic across engagements. Without a mastered framework, teams fall back on fragmented checklists, inconsistent documentation, and reactive audits, slowing deployment and diluting technical authority.

What situation is the CIS Controls for Principal AI Consultants for?

Even experienced consultants waste time reconstructing control logic across engagements. Without a mastered framework, teams fall back on fragmented checklists, inconsistent documentation, and reactive audits, slowing deployment and diluting technical authority.

What do you take away from the CIS Controls for Principal AI Consultants course?

Map CIS Controls directly to AI system components and data flows Produce audit-ready control documentation in under two days Lead cross-functional teams with authoritative interpretation of control requirements Adapt CIS Controls to novel AI architectures with confidence Preserve institutional knowledge across leadership transitions.

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.

What does the CIS Controls for Principal AI Consultants cover on delivery and format?

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 6-8 hours over 3 weeks, with on-demand access for ongoing reference.

How does this compare to the alternatives?

Unlike generic compliance courses, this program is tailored to AI systems and built for senior technical consultants who need to implement , not just understand , the CIS Controls.

What does the CIS Controls for Principal AI Consultants cover on frequently asked?

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

How is the CIS Controls for Principal AI Consultants delivered?

The CIS Controls for Principal AI Consultants is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. A certificate of completion is issued by The Art of Service when you finish.

Closely related courses: CIS Controls for Principal Growth Strategists, CIS Controls for Principal System Engineers, CIS Controls for Principal Technical Writers, CIS Controls for Principal Product Managers.

More answers: what you get with every course, refund policy, all help answers.

A tailored course, built for your situation

Mastering CIS Controls for Principal AI Consultants

Build defensible, repeatable AI governance frameworks with precision

$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.
Never rebuild your control mapping from scratch or rely on outdated templates

The situation this course is for

Even experienced consultants waste time reconstructing control logic across engagements. Without a mastered framework, teams fall back on fragmented checklists, inconsistent documentation, and reactive audits, slowing deployment and diluting technical authority.

Who this is for

Senior AI and security practitioners who lead governance in technical environments and must translate controls into working systems

Who this is not for

Entry-level compliance staff or professionals focused only on policy drafting without technical implementation

What you walk away with

  • Map CIS Controls directly to AI system components and data flows
  • Produce audit-ready control documentation in under two days
  • Lead cross-functional teams with authoritative interpretation of control requirements
  • Adapt CIS Controls to novel AI architectures with confidence
  • Preserve institutional knowledge across leadership transitions

The 12 modules (with all 144 chapters)

Module 1. CIS Controls Overview for AI Systems
Understand the structure and intent of the CIS Controls as applied to machine learning pipelines and AI infrastructure.
12 chapters in this module
  1. Purpose of CIS Controls
  2. AI-specific control gaps
  3. Control maturity levels
  4. Mapping to NIST CSF
  5. Framework navigation
  6. Control grouping logic
  7. Implementation prioritisation
  8. Baseline assessment design
  9. AI asset inventory
  10. Threat model alignment
  11. Compliance threshold setting
  12. Stakeholder communication
Module 2. Inventory and Control of Hardware Assets
Establish complete visibility over physical and virtual infrastructure supporting AI workloads.
12 chapters in this module
  1. AI hardware identification
  2. Cloud instance tagging
  3. Trusted platform modules
  4. Decommissioning protocols
  5. Remote device tracking
  6. Asset ownership enforcement
  7. Firmware validation
  8. Network discovery methods
  9. Virtualisation controls
  10. Patch status monitoring
  11. Hardware-based security
  12. Audit trail generation
Module 3. Inventory and Control of Software Assets
Maintain accurate records of software components used in AI systems, including dependencies and libraries.
12 chapters in this module
  1. AI model lineage tracking
  2. Container inventory
  3. Open source licensing
  4. Software bill of materials
  5. Version control integration
  6. Dependency scanning
  7. Approved software list
  8. Unauthorised software detection
  9. License compliance
  10. Vulnerability correlation
  11. Automated inventory tools
  12. Software lifecycle management
Module 4. Data Protection Processes
Implement safeguards for sensitive data used in AI training and inference.
12 chapters in this module
  1. Data classification for AI
  2. Training data provenance
  3. Data encryption in transit
  4. Encryption at rest
  5. Data retention policies
  6. Access logging
  7. Data anonymisation
  8. Synthetic data controls
  9. Data leakage prevention
  10. Cross-border transfer rules
  11. Consent tracking
  12. Data subject rights
Module 5. Secure Configuration Management
Enforce hardened configurations across AI infrastructure and endpoints.
12 chapters in this module
  1. Baseline configuration design
  2. AI model container hardening
  3. OS security settings
  4. Cloud security posture
  5. Automated configuration checks
  6. Drift detection
  7. Remediation workflows
  8. Configuration versioning
  9. Immutable infrastructure
  10. Security benchmarking
  11. CIS Benchmarks use
  12. DevSecOps integration
Module 6. Account Management and Access Control
Govern user and service identities with precision in AI development environments.
12 chapters in this module
  1. Role-based access control
  2. Service account governance
  3. Privileged access review
  4. Multi-factor enforcement
  5. Identity lifecycle
  6. API key controls
  7. Just-in-time access
  8. Identity federation
  9. Access certification
  10. AI model access logs
  11. Principle of least privilege
  12. Credential rotation
Module 7. Continuous Vulnerability Management
Detect and prioritise vulnerabilities in AI systems and supporting infrastructure.
12 chapters in this module
  1. Vulnerability scanning cadence
  2. AI library scanning
  3. AI model integrity checks
  4. Threat intelligence integration
  5. Risk scoring methodology
  6. Patch prioritisation
  7. Automated remediation
  8. Third-party dependency checks
  9. AI-specific CVE tracking
  10. False positive reduction
  11. Remediation tracking
  12. Executive reporting
Module 8. Audit Log Management
Collect, protect, and analyse logs from AI systems for security and compliance.
12 chapters in this module
  1. Log sources identification
  2. Centralised log aggregation
  3. Log retention policy
  4. Log integrity protection
  5. AI model access logging
  6. Anomaly detection
  7. Correlation rules
  8. Incident response support
  9. Compliance audit readiness
  10. Log search efficiency
  11. Retention automation
  12. Forensic readiness
Module 9. Email and Web Browser Protections
Secure communication endpoints used in AI development and deployment.
12 chapters in this module
  1. Phishing-resistant email controls
  2. Browser extension management
  3. Malware protection
  4. Content filtering
  5. AI tool access via browser
  6. Secure API gateway use
  7. Session management
  8. Zero-trust browser access
  9. Email encryption
  10. Web-based IDE security
  11. Credential phishing detection
  12. Browser-based AI tools
Module 10. Malware Defences and Endpoint Protection
Protect AI development and production environments from malicious software.
12 chapters in this module
  1. Endpoint detection tools
  2. AI model poisoning detection
  3. Host-based firewalls
  4. Application whitelisting
  5. Tamper protection
  6. Ransomware mitigation
  7. Zero-day exploit response
  8. Sandboxing techniques
  9. AI container scanning
  10. Runtime protection
  11. Threat hunting
  12. Automated response
Module 11. Data Recovery and Resilience
Ensure availability and recoverability of AI models and datasets.
12 chapters in this module
  1. AI model backup procedures
  2. Data backup frequency
  3. Recovery testing
  4. RTO and RPO definition
  5. Versioned model storage
  6. Disaster recovery planning
  7. Cloud-native backup tools
  8. Immutable backups
  9. Recovery validation
  10. AI pipeline recovery
  11. Failover testing
  12. Recovery automation
Module 12. Security Awareness and Incident Response
Prepare teams to respond to AI-related security incidents with confidence.
12 chapters in this module
  1. AI incident scenarios
  2. Tabletop exercise design
  3. Response playbook creation
  4. AI model rollback
  5. Stakeholder notification
  6. Legal compliance triggers
  7. Post-incident review
  8. Threat simulation
  9. AI misuse detection
  10. Model drift monitoring
  11. Incident documentation
  12. Executive communication

How this maps to your situation

  • AI infrastructure deployment
  • AI model audit preparation
  • AI governance framework design
  • AI security incident response

Before vs. after

Before
Reactive, ad-hoc control mapping with inconsistent documentation and high rework.
After
Proactive, repeatable application of CIS Controls in AI systems with authoritative, audit-ready outputs.

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 6-8 hours over 3 weeks, with on-demand access for ongoing reference.

If nothing changes
Without a mastered approach to CIS Controls, practitioners risk repeated audit cycles, delayed deployments, and diminished influence in strategic AI decisions.

How this compares to the alternatives

Unlike generic compliance courses, this program is tailored to AI systems and built for senior technical consultants who need to implement , not just understand , the CIS Controls.

Frequently asked

Is this course focused on technical or policy-level implementation?
It's designed for technical implementation with precise control mapping to AI systems, infrastructure, and development workflows.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive templates I can use immediately?
Yes , every module includes downloadable templates and real-world examples tailored to AI governance contexts.
$199 one-time. Approximately 6-8 hours over 3 weeks, with on-demand access for ongoing reference..

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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