Skip to main content
Image coming soon

CMP9584 Mastering PCI DSS for Data Infrastructure Specialists in High-Visibility Environments

$199.00
Adding to cart… The item has been added

A tailored course, built for your situation

Mastering PCI DSS for Data Infrastructure Specialists in High-Visibility Environments

Build compliant, high-impact data systems that attract premium cross-functional demand

$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.

Who this is for

Senior data infrastructure engineer operating in regulated, high-visibility environments where compliance intersects with core product innovation

Who this is not for

Entry-level data analysts or engineers focused on non-regulated pipelines without exposure to payment or financial data systems

What you walk away with

  • Lead PCI DSS control scoping calls with product and compliance teams, not just attend them
  • Turn infrastructure decisions into documented compliance assets used across reviews
  • Position your data models as the starting point for new payment-feature initiatives
  • Reduce rework by aligning pipeline design with control requirements upfront
  • Become the named reference for PCI DSS impact assessments in cross-functional project kickoffs

The 12 modules (with all 144 chapters)

Module 1. PCI DSS Scope in Modern Data Architectures
Understand how PCI DSS applies to distributed data systems, especially when payment data flows through microservices and event streams. Learn to identify scope boundaries early and avoid over-inclusion. Focus on data lineage, tokenization impact, and segmentation relevance to infrastructure design.
12 chapters in this module
  1. How PCI DSS scope differs in cloud-native data pipelines
  2. Mapping data flows to Requirement 1: Network segmentation
  3. Identifying in-scope systems in service mesh environments
  4. Tokenized data and its impact on storage scope
  5. Common missteps in defining cardholder data environments
  6. Boundary decisions that prevent scope creep downstream
  7. When Kafka topics become in-scope assets
  8. Containerized workloads and PCI DSS footprint assessment
  9. Logging strategies for scope validation
  10. Cross-team alignment on what counts as in-scope
  11. Documentation standards for architecture review boards
  12. Balancing agility with compliance in early-stage designs
Module 2. Data Infrastructure Design Under Requirement 3
Master secure handling of cardholder data in storage systems. Focus on minimizing primary account number exposure through schema design, masking strategies, and encryption-by-default patterns. Build systems that satisfy Requirement 3 without sacrificing performance or developer velocity.
12 chapters in this module
  1. Schema-level controls for cardholder data minimization
  2. Implementing data masking in analytics pipelines
  3. Encryption strategies for data at rest in distributed stores
  4. Managing encryption keys in cloud environments
  5. Tokenization gateways and their integration points
  6. Audit logging for data access to PAN fields
  7. Designing for deletion without breaking referential integrity
  8. Anonymization patterns that preserve business utility
  9. Schema evolution under compliance constraints
  10. Validation checks for accidental PAN reintroduction
  11. Secure handling of test data in development environments
  12. Documentation templates for data handling reviews
Module 3. Access Control and Privilege Management
Apply PCI DSS Requirement 7 and 8 to data infrastructure roles, service accounts, and access workflows. Design fine-grained access controls that scale across teams while meeting compliance thresholds. Reduce standing privileges through just-in-time access patterns.
12 chapters in this module
  1. Role-based access for data infrastructure engineers
  2. Managing service accounts in PCI in-scope systems
  3. Time-bound access for troubleshooting and audits
  4. Multi-factor authentication for administrative access
  5. Privileged access workflows for emergency changes
  6. Audit trails for access changes and privilege escalation
  7. Separation of duties in CI/CD pipelines
  8. Automated access reviews and attestation processes
  9. Integrating access policies with identity providers
  10. Handling shared accounts in legacy tooling
  11. User provisioning and de-provisioning alignment
  12. Access control documentation for auditor review
Module 4. Secure System Configuration Baselines
Translate Requirement 2 into practical baselines for data infrastructure components. Harden containers, clusters, and databases against common misconfigurations. Automate compliance with configuration management tools.
12 chapters in this module
  1. Establishing secure baselines for data processing nodes
  2. Container image hardening for PCI environments
  3. Disabling unnecessary services in data clusters
  4. Secure configuration templates for Hadoop and Spark
  5. Operating system hardening guides for compliance teams
  6. Configuration drift detection in production systems
  7. Automating compliance checks with Infrastructure as Code
  8. Benchmarking against CIS Controls for PCI alignment
  9. Version control for configuration policies
  10. Patch management timelines for in-scope systems
  11. Logging configuration changes for audit readiness
  12. Documentation of configuration exceptions
Module 5. Logging and Monitoring for Audit Trails
Meet Requirement 10 with robust logging from data infrastructure components. Design log collection, retention, and review processes that support forensic investigations and satisfy auditor expectations.
12 chapters in this module
  1. Identifying critical events in data pipeline logs
  2. Log retention policies aligned with PCI DSS 10.7
  3. Centralized logging for distributed pipeline components
  4. Protecting logs from unauthorized modification
  5. Timestamp accuracy and synchronization
  6. Automated log review for suspicious access patterns
  7. Integration with SIEM for real-time alerting
  8. Log reduction techniques without losing compliance value
  9. Anonymizing PII in logs while preserving utility
  10. Audit trail scope for data transformation jobs
  11. Testing log integrity under failure conditions
  12. Log schema standards for cross-team reuse
Module 6. Change and Patch Management for Compliance
Implement Requirement 6 with structured workflows for updating in-scope systems. Automate change tracking and integrate security patches into CI/CD without disrupting data flow reliability.
12 chapters in this module
  1. Identifying in-scope software components for patching
  2. Integrating vulnerability scans into data system pipelines
  3. Change control workflows for configuration updates
  4. Automated testing for patch impact on data integrity
  5. Documentation standards for change records
  6. Emergency change procedures with audit trails
  7. Version tracking for infrastructure dependencies
  8. Third-party library updates under PCI scrutiny
  9. Rollback strategies for failed patches
  10. Communication protocols during change windows
  11. Coordination with compliance teams on change schedules
  12. Archiving change records for audit access
Module 7. Point-to-Point Encryption and Data Flow Security
Address Requirement 4 with secure transmission of cardholder data. Implement end-to-end encryption patterns in microservices and streaming architectures. Reduce decryption points to minimize exposure.
12 chapters in this module
  1. Evaluating P2PE solutions for data pipeline integration
  2. Secure transport between data ingestion and storage
  3. Encryption during data transformation stages
  4. Key management for transit protection
  5. Minimizing plaintext exposure in processing nodes
  6. TLS configuration standards for internal services
  7. Validating certificate lifecycle management
  8. Segmenting encrypted vs unencrypted processing zones
  9. Performance trade-offs in encrypted data flows
  10. Monitoring for unapproved data transmission paths
  11. Auditing decryption events in production systems
  12. Documentation of encryption zones for assessors
Module 8. Vulnerability Management in Data Systems
Apply Requirement 11.2 with regular internal scans and assessments. Detect misconfigurations, open ports, and outdated software in complex distributed environments.
12 chapters in this module
  1. Scope definition for internal vulnerability scans
  2. Scheduling scans without disrupting data pipelines
  3. Integrating scan results into incident response workflows
  4. Remediating findings in containerized environments
  5. Validating fixes with repeat scans
  6. False positive identification in complex systems
  7. Automated scanning in CI/CD pipelines
  8. Reporting scan results to compliance teams
  9. Risk ranking for unpatched vulnerabilities
  10. Compensating controls for unavoidable exposures
  11. Third-party assessment coordination
  12. Documentation of scan history and results
Module 9. Penetration Testing for Data Infrastructure
Prepare for Requirement 11.3 with realistic red team exercises. Understand how testers target data systems and design defenses that reflect real-world threats.
12 chapters in this module
  1. Defining penetration testing scope for data pipelines
  2. Engaging qualified assessors for annual tests
  3. Coordinating test windows with engineering teams
  4. Reviewing test findings for infrastructure impact
  5. Prioritizing remediation based on exploit likelihood
  6. Common attack paths in data processing systems
  7. Hardening APIs used by data infrastructure
  8. Simulating insider threat scenarios
  9. Validating segmentation controls in practice
  10. Post-test response and reporting workflows
  11. Integrating lessons into architecture updates
  12. Documentation for assessor validation
Module 10. Compliance Automation and Infrastructure as Code
Embed PCI DSS controls into Terraform, Ansible, and other IaC tools. Shift compliance left by baking requirements into provisioning workflows.
12 chapters in this module
  1. Translating PCI DSS controls into IaC policies
  2. Using Open Policy Agent for compliance validation
  3. Automated drift detection in provisioned systems
  4. Policy-as-code for network segmentation rules
  5. Integrating compliance checks into CI pipelines
  6. Versioning control policies alongside code
  7. Reporting compliance status to non-technical stakeholders
  8. Auditing policy changes in production
  9. Handling policy exceptions with documentation
  10. Cross-platform policy standards for hybrid environments
  11. Collaboration between security and infrastructure teams
  12. Scaling compliance automation across business units
Module 11. Third-Party Risk and Vendor Management
Address Requirement 12.8 with structured oversight of third-party data processors. Evaluate vendor compliance and enforce contractual obligations effectively.
12 chapters in this module
  1. Identifying third-party service providers in data flows
  2. Reviewing vendor PCI DSS attestation packages
  3. Contractual clauses for compliance assurance
  4. Monitoring vendor adherence to security policies
  5. Data processing agreements for cloud providers
  6. Incident response coordination with vendors
  7. Audit rights and access for third-party environments
  8. Risk assessment for new vendor integrations
  9. Managing sub-processors in vendor ecosystems
  10. Documentation of vendor compliance posture
  11. Exit strategies for non-compliant providers
  12. Vendor offboarding and data deletion verification
Module 12. Sustaining Compliance Through Organizational Change
Ensure long-term adherence as teams and systems evolve. Build institutional knowledge and documentation practices that survive leadership changes and reorganizations.
12 chapters in this module
  1. Knowledge transfer strategies for compliance-critical roles
  2. Maintaining documentation through team rotations
  3. Onboarding engineers into compliant workflows
  4. Updating compliance posture after system migrations
  5. Reassessing scope after product changes
  6. Change impact analysis for compliance requirements
  7. Succession planning for compliance ownership
  8. Documenting tribal knowledge before attrition
  9. Versioning control narratives over time
  10. Auditor-friendly explanations of system evolution
  11. Integrating new regulations into existing frameworks
  12. Handover checklists for compliance-critical roles

How this maps to your situation

  • Preparing for annual PCI DSS assessment
  • Supporting product launch with payment capabilities
  • Responding to internal audit findings
  • Scaling infrastructure under new compliance scrutiny

Before vs. after

Before
Responding reactively to compliance requests, often redesigning systems post-scope definition
After
Proactively shaping project scope with documented, repeatable patterns that attract high-margin work

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 12 hours total , 90 minutes per module, designed for focused Sunday afternoons.

If nothing changes
Continuing to operate reactively may result in repeated redesign cycles, missed opportunities to lead cross-functional initiatives, and under-recognition of your role in enabling compliant innovation.

How this compares to the alternatives

Unlike generic compliance courses, this is tailored to data infrastructure engineers who need to influence design decisions, not just follow them. It replaces scattered documentation with a unified, actionable framework used by practitioners at firms facing similar scrutiny.

Frequently asked

Is this relevant if I don’t work directly on payment systems?
Yes. If your data pipelines intersect with systems that handle cardholder data, scope decisions impact your work. This course helps you lead those conversations early.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me in non-PCI compliance areas?
The method applies to other standards like SOC 2 and ISO 27001. PCI DSS is used as the concrete anchor for practical application.
$199 one-time. Approximately 12 hours total , 90 minutes per module, designed for focused Sunday afternoons..

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
!