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SEC3066 Mastering CIS Controls for Marketing Leaders in Gen AI

$199.00
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A tailored course, built for your situation

Mastering CIS Controls for Marketing Leaders in Gen AI

Build defensible AI governance with structured, source-backed implementation steps

$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.
Having to justify AI governance decisions without structured backing

The situation this course is for

Marketing-led AI initiatives often face skepticism from risk and compliance teams due to perceived lack of rigor. Without a shared framework, practitioners struggle to defend design choices when challenged.

Who this is for

Senior marketing technologists in regulated fintech and payments environments leading Gen AI implementation

Who this is not for

Individuals seeking campaign automation tips or general AI content writing skills

What you walk away with

  • Map CIS Controls v8 to Gen AI workflows in payment processing and customer data handling
  • Document control rationale using direct citations from CIS, NIST, and EBA GL
  • Respond to peer challenges with specific examples from audit-tested implementations
  • Build repeatable governance templates aligned with EU regulatory expectations
  • Differentiate between mandatory and contextual controls in marketing technology stacks

The 12 modules (with all 144 chapters)

Module 1. CIS Controls and the Marketing Technology Stack
Introduce the CIS Controls v8 framework and map its relevance to marketing-owned AI systems in payments. Identify high-leverage controls for data classification, access governance, and logging.
12 chapters in this module
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Module 2. Control 1.1: Inventory of Authorized Devices in Cloud AI Environments
Apply CIS Control 1.1 to AI deployment in AWS and Azure. Learn how to justify dynamic scaling while maintaining auditability.
12 chapters in this module
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Module 3. Control 4.1: Establish and Maintain a Secure Configuration Process
Document configuration baselines for AI models and data pipelines using CIS benchmarks. Align with EBA GL principles on model governance.
12 chapters in this module
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Module 4. Control 6.1: Maintenance, Monitoring, and Analysis of Audit Logs
Design logging for AI-driven campaigns that satisfy SOC 2 and DORA requirements. Use real examples from payment gateway integrations.
12 chapters in this module
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Module 5. Control 16.1: Account Monitoring and Control
Implement least privilege in marketing AI tools using role-based access from CIS. Show alignment with ISO 27001 Annex A.9.
12 chapters in this module
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Module 6. Control 18.1: Application Software Security
Enforce secure coding in AI prompt engineering and API integrations. Use CIS guidelines to justify monitoring thresholds.
12 chapters in this module
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Module 7. Control 20.1: Penetration Testing
Plan red team exercises for AI marketing bots. Use EBA GL recommendations to scope impact on customer data.
12 chapters in this module
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Module 8. Mapping CIS to GDPR and DORA Requirements
Crosswalk CIS Controls with GDPR Article 30 and DORA Article 25 for reporting obligations. Build defensible compliance narratives.
12 chapters in this module
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Module 9. Control 13.1: Data Protection
Apply encryption and tokenization to customer data in AI systems. Use ISO 27001 and EBA GL to support decisions.
12 chapters in this module
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Module 10. Control 5.1: Secure Configurations for Network Devices
Justify network segmentation for AI test environments. Show alignment with NIST CSF PR.AC-4.
12 chapters in this module
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Module 11. Building Defensible Governance Presentations
Structure peer-facing documents with layered justification: control → framework → regional law → business impact.
12 chapters in this module
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Module 12. Implementation Playbook and Artifact Assembly
Assemble a reference-ready package: control mappings, policy excerpts, and incident response templates for Gen AI in payments.
12 chapters in this module
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How this maps to your situation

  • AI deployment in regulated payments
  • Cross-functional governance reviews
  • Audit preparation cycles
  • Vendor selection for AI tooling

Before vs. after

Before
Justifying AI governance decisions based on intuition or campaign KPIs
After
Walking through control rationale with sources, examples, and framework alignment

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 hours per module, with optional deep dives using provided templates and citations.

If nothing changes
Continued reliance on anecdotal justification leaves AI initiatives vulnerable to escalation, delay, or shutdown during compliance reviews.

How this compares to the alternatives

Unlike generic AI ethics courses, this program delivers structured, control-by-control implementation guidance rooted in CIS v8, with direct citations to EBA GL, NIST, and ISO standards used in EU financial regulation.

Frequently asked

Is this course technical?
No. It's designed for non-engineers who need to justify technical decisions. All controls are explained in operational terms with marketing-relevant examples.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to non-payment AI use cases?
Yes. While examples come from payments, the framework applies to any regulated Gen AI deployment.
$199 one-time. Approximately 3 hours per module, with optional deep dives using provided templates and citations..

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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