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SEC3774 Mastering ISO 27001 for Data Engineering Practitioners

$199.00
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A tailored course, built for your situation

Mastering ISO 27001 for Data Engineering Practitioners

Build defensible security integration patterns rooted in standards, sources, and real-world precedent

$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.
Feeling questioned on security control placement in data pipelines despite following best practices

The situation this course is for

You've architected controls into pipelines with care, only to face pushback from security teams who don't see the rationale. Without standard-backed justification, even sound decisions get reworked, delaying delivery and weakening trust in engineering-led compliance.

Who this is for

Mid-level Data Engineer in a global systems integrator, operating at the intersection of data architecture and compliance expectations, expected to justify design choices but lacking structured reference material or precedent

Who this is not for

Junior developers learning security basics, auditors focused on checklist validation, or executives seeking high-level risk overviews

What you walk away with

  • Cite ISO 27001 control clauses accurately when challenged on data handling design
  • Reference real implementation examples from regulated data environments
  • Map pipeline architecture decisions directly to control objectives in documentation
  • Anticipate common peer objections and prepare backed reasoning in advance
  • Build internal credibility as a source of repeatable, auditable design patterns

The 12 modules (with all 144 chapters)

Module 1. Foundations of ISO 27001 in Data-Centric Environments
Establish a working understanding of ISO 27001’s relevance to data engineering, focusing on control objectives that directly impact pipeline design, data classification, and access logic. Learn how the standard frames information assets and why data pipelines qualify as critical processes.
12 chapters in this module
  1. Defining information assets in data engineering workflows
  2. Understanding ISO 27001 scope as applied to ETL systems
  3. The role of risk assessment in control selection for data
  4. How data lifecycle stages align with control domains
  5. Clarifying roles: Data Engineer vs. DPO vs. ISMS owner
  6. ISO 27001 certification process overview for service firms
  7. Mapping the firm delivery expectations to clause 4
  8. Common misinterpretations of Annex A in data projects
  9. Difference between technical and procedural controls
  10. When to document a deviation versus a control waiver
  11. Precedent from financial services data handling reviews
  12. Case study: Data warehouse onboarding under ISO 27001
Module 2. Control Mapping for Pipeline Architecture
Learn how to align data pipeline components, ingestion, transformation, storage, with specific ISO 27001 controls. This module equips you to justify placement of encryption, access rules, and logging within end-to-end flows using standard-backed logic.
12 chapters in this module
  1. Mapping ingestion layers to A.8.2.1 media handling rules
  2. Applying A.8.2.3 to temporary data buffers in streaming
  3. Encryption boundaries and A.10.1.1 key management mandates
  4. Storage tiering and information classification alignment
  5. Access control design per A.9.1.2 in multi-tenant pipelines
  6. Logging requirements under A.12.4 for audit trails
  7. Retention rules linked to A.10.1.3 and legal compliance
  8. Segregation of duties in pipeline deployment workflows
  9. Anomaly detection thresholds per A.12.4.1
  10. Metadata tagging strategies to satisfy A.5.10
  11. Documenting data lineage to meet A.12.3.1
  12. Worked example: Mapping a healthcare claims pipeline
Module 3. Building Defensible Design Narratives
Develop the ability to articulate pipeline security decisions using ISO 27001 as a foundation. This module teaches how to structure explanations that anticipate scrutiny and provide clear, cited reasoning.
12 chapters in this module
  1. Framing decisions around risk treatment objectives
  2. Using control clauses as justification anchors
  3. Preempting common peer challenges in design reviews
  4. Structuring responses to security team pushback
  5. Creating narrative consistency across documentation
  6. How to cite precedent without revealing client data
  7. Balancing compliance and performance trade-offs
  8. Integrating auditor feedback into future designs
  9. Documenting rationale in architecture decision records
  10. Aligning data handling rules with A.6.2.1 policies
  11. Presenting control mappings to non-technical leads
  12. Template: Standard response to access control queries
Module 4. Data Classification and Handling Rules
Implement classification schemes that align with ISO 27001's information handling requirements. Learn how to embed rules into pipeline logic and justify classification tiers based on control impact.
12 chapters in this module
  1. Defining data sensitivity levels per organizational policy
  2. Mapping classification to encryption and access controls
  3. Automating tagging during ingestion using schema rules
  4. Handling PII under A.8.2.1 and GDPR crosswalks
  5. Temporary data handling in transformation layers
  6. Masking strategies for development and testing
  7. Retention policies per A.10.1.3 and jurisdiction
  8. Secure deletion verification for data at rest
  9. Batch-level classification in high-volume pipelines
  10. Handling exceptions and override workflows
  11. Audit log requirements for classification changes
  12. Case study: Customer data handling in BFSI context
Module 5. Cryptographic Controls in Data Flows
Apply ISO 27001 cryptographic requirements directly to data movement and storage. This module covers key management, algorithm selection, and integration patterns that stand up to review.
12 chapters in this module
  1. A.10.1.1 scope: Where crypto applies in pipelines
  2. Key management responsibilities in shared platforms
  3. Algorithm selection per current NIST guidance
  4. Envelope encryption patterns for cloud storage
  5. Key rotation strategies in automated environments
  6. Secure key storage in containerized deployments
  7. TLS requirements for inter-service data transfer
  8. Managing crypto in serverless and auto-scaling
  9. Documenting exceptions for legacy system integration
  10. Auditing crypto control effectiveness
  11. Integration with centralized key management services
  12. Worked example: Secure cross-region replication
Module 6. Access Control in Multi-System Pipelines
Design access rules for pipeline components that satisfy ISO 27001's user access management requirements. Learn how to justify role definitions, segregation, and least privilege in complex environments.
12 chapters in this module
  1. Defining roles based on pipeline responsibilities
  2. Implementing least privilege in orchestration tools
  3. Segregation of duties between dev and prod access
  4. Justifying access scopes to security reviewers
  5. Automated provisioning and de-provisioning
  6. Multi-factor authentication for privileged access
  7. Access logging and correlation across tools
  8. Reviewing access rights per A.9.2.4
  9. Handling emergency access procedures
  10. Managing third-party access in client projects
  11. Attribute-based access control in data layers
  12. Template: Access review report for audit
Module 7. Incident and Anomaly Response in Data Systems
Develop detection and response protocols that align with ISO 27001's incident management requirements. This module covers logging, alerting, and communication workflows appropriate to pipeline operations.
12 chapters in this module
  1. Defining anomalous data behavior per A.12.4
  2. Logging data access and transformation events
  3. Setting thresholds for volume and timing anomalies
  4. Integrating with SIEM for pipeline telemetry
  5. Handling suspected data exfiltration
  6. Incident classification and escalation paths
  7. Forensic readiness in distributed processing
  8. Documenting incident response decisions
  9. Post-incident review and control updates
  10. Reporting timelines under A.16.1.2
  11. Simulating pipeline disruption scenarios
  12. Template: Incident log entry for data skew
Module 8. Vendor and Third-Party Data Risk
Evaluate third-party tools and services used in pipelines against ISO 27001's supplier security requirements. Learn how to justify technology choices and integration patterns under scrutiny.
12 chapters in this module
  1. Assessing SaaS providers under A.15.1.1
  2. Reviewing data processing agreements for DPA
  3. Validating encryption-in-transit with providers
  4. Audit rights and evidence access provisions
  5. Managing open-source components in pipelines
  6. Documenting due diligence for tool selection
  7. Handling provider security incidents
  8. Justifying use of non-certified tools
  9. Crosswalking CSA CCM to ISO 27001 gaps
  10. Managing API key security in vendor integrations
  11. Template: Third-party risk assessment summary
  12. Case study: Cloud storage provider selection
Module 9. Documentation and Audit Readiness
Produce documentation that satisfies ISO 27001 auditors while remaining useful to engineering teams. This module covers SoA alignment, control evidence, and narrative cohesion.
12 chapters in this module
  1. Writing SoA statements for pipeline components
  2. Mapping controls to technical implementation
  3. Generating audit-ready runbooks from code
  4. Maintaining documents through version cycles
  5. Preparing for internal and external audits
  6. Responding to auditor findings with evidence
  7. Redacting client details in submission packages
  8. Version control for compliance documentation
  9. Automating evidence collection with CI/CD
  10. Justifying control exclusions with risk acceptance
  11. Template: Pipeline control evidence pack
  12. Case study: Preparing for the firm internal review
Module 10. Change Management and Control Stability
Ensure pipeline changes comply with ISO 27001's change control requirements. This module covers review workflows, rollback planning, and maintaining control integrity through updates.
12 chapters in this module
  1. Change approval workflows for data pipeline updates
  2. Impact assessment for schema and code changes
  3. Integrating security review into CI/CD gates
  4. Rollback procedures for failed deployments
  5. Versioning data handling rules and policies
  6. Communicating changes to downstream consumers
  7. Handling emergency fixes outside normal process
  8. Documenting change decisions for audit
  9. Automating control validation in staging
  10. Reviewing changes per A.12.1.3
  11. Template: Pipeline change log entry
  12. Case study: Schema evolution in regulated context
Module 11. Training and Awareness for Engineering Teams
Develop internal training content that communicates ISO 27001 principles to developers and data engineers. This module focuses on practical takeaways and real-world relevance.
12 chapters in this module
  1. Identifying audience-specific security needs
  2. Translating controls into engineering practices
  3. Creating hands-on labs for secure pipeline design
  4. Delivering just-in-time training at onboarding
  5. Measuring effectiveness of security training
  6. Using redacted audit findings as teaching tools
  7. Integrating compliance updates into team meetings
  8. Developing quick-reference guides for teams
  9. Promoting accountability through team rituals
  10. Documenting training completion for audit
  11. Template: 30-minute security onboarding session
  12. Case study: Rolling out data classification training
Module 12. Sustaining Compliance in Evolving Architectures
Adapt ISO 27001 practices to new technologies and shifting requirements. This module prepares you to defend control relevance as architectures evolve.
12 chapters in this module
  1. Evaluating serverless against control requirements
  2. Applying controls to real-time streaming platforms
  3. Managing security in data mesh environments
  4. Updating controls for AI/ML data pipelines
  5. Handling edge computing in data collection
  6. Integrating new regulations into existing controls
  7. Reassessing controls after major platform changes
  8. Documenting control adaptations for audit
  9. Maintaining consistency across hybrid deployments
  10. Justifying control modernization to leadership
  11. Template: Control gap assessment after migration
  12. Case study: Modernizing legacy ETL under ISO 27001

How this maps to your situation

  • Initial pipeline design under compliance constraints
  • Peer review and justification of control placement
  • Internal audit preparation and evidence gathering
  • Post-implementation review and control refinement

Before vs. after

Before
You implement security controls in data pipelines but face repeated questions about their placement and necessity, lacking standardized references to justify decisions.
After
You confidently explain design choices using ISO 27001 clauses, real-world implementation patterns, and documented trade-offs, making your pipeline security decisions defensible and repeatable.

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: 90 minutes per week for 12 weeks, or accelerate at your own pace

If nothing changes
Without structured justification frameworks, even well-designed controls risk being overruled or reworked, leading to delivery delays, erosion of engineering authority, and missed opportunities to shape compliance from within the team.

How this compares to the alternatives

Generic compliance courses teach abstract principles without engineering context. This course is built specifically for data engineers operating in regulated environments, with code-level examples, control mappings, and narrative templates tied directly to ISO 27001 implementation.

Frequently asked

Is this course technical or policy-focused?
It’s both: written for engineers who need to implement controls and justify them using policy language. Code examples and control citations are paired throughout.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover other standards like SOC 2 or ISO 27701?
Focus is ISO 27001. Crosswalks to SOC 2 and GDPR are included where relevant, but the core framework is ISO 27001.
$199 one-time. 90 minutes per week for 12 weeks, or accelerate at your own pace.

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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