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Broader Scope in Data Science with NIST SSDF Integration

$199.00
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A tailored course, built for your situation

Broader Scope in Data Science with NIST SSDF Integration

Expand your influence and decision ownership in secure data systems design

$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.
Stuck waiting for security teams to validate data pipeline changes?

The situation this course is for

Data scientists often face delays when deploying models or pipelines because security validation happens late, outside their control. This creates friction, rework, and missed windows for insight delivery.

Who this is for

Senior data scientist in a product-led tech organization, working at the intersection of data systems and compliance-sensitive infrastructure, seeking greater autonomy in secure delivery

Who this is not for

Entry-level analysts, professionals outside data or security domains, or those focused solely on dashboarding or reporting without pipeline ownership

What you walk away with

  • Lead NIST SSDF implementation in data pipeline design without handoffs
  • Own security-significant decisions in data system architecture reviews
  • Produce repeatable, audit-ready documentation tied to control objectives
  • Anticipate and resolve security review feedback before submission
  • Serve as the primary escalation point for cross-functional NIST SSDF alignment

The 12 modules (with all 144 chapters)

Module 1. Foundations of NIST SSDF in Data Systems
Understand how NIST SSDF maps to data science workflows, focusing on secure pipeline design and deployment decisions.
12 chapters in this module
  1. What NIST SSDF means for data roles
  2. Secure development lifecycle stages
  3. Data pipeline threat modeling basics
  4. Connecting controls to ML workflows
  5. Key NIST SSDF publications overview
  6. SSDF versus OWASP SAMM
  7. Integration touchpoints with data ops
  8. Mapping controls to data stages
  9. Common misalignments to avoid
  10. Security gate anti-patterns
  11. How Atlassian teams use standards
  12. Practitioner mindset shift
Module 2. Integrating SSDF into Design Phase
Apply NIST SSDF principles during initial data system planning to reduce rework and security pushback later.
12 chapters in this module
  1. Threat modeling at project kickoff
  2. Data classification up front
  3. Secure architecture patterns
  4. Vendor risk in tooling selection
  5. Design doc security annotations
  6. Stakeholder alignment checklist
  7. Embedding SSDF in Jira tickets
  8. Security requirements drafting
  9. Choosing encryption early
  10. Access model planning
  11. Logging and monitoring scope
  12. Documenting assumptions securely
Module 3. Secure Development Practices
Implement secure coding and pipeline practices aligned with SSDF for data scientists.
12 chapters in this module
  1. Code review for security intent
  2. Dependency scanning setup
  3. Secrets management in notebooks
  4. Container security basics
  5. Pipeline as code standards
  6. Version control hygiene
  7. Peer review templates
  8. Static analysis integration
  9. Dynamic testing for APIs
  10. Error handling securely
  11. Input validation in data transforms
  12. Secure notebook sharing
Module 4. Verification and Testing Integration
Embed verification steps into CI/CD pipelines to catch issues early and reduce audit friction.
12 chapters in this module
  1. Automated security gates
  2. Vulnerability scan scheduling
  3. Test coverage for security claims
  4. Pen testing coordination
  5. False positive triage
  6. Audit trail generation
  7. Evidence collection automation
  8. Security test documentation
  9. Model drift and risk linkage
  10. Pipeline rollback planning
  11. Incident simulation drills
  12. Remediation workflow design
Module 5. Governance and Accountability
Establish clear ownership and tracking for security decisions in data projects.
12 chapters in this module
  1. Decision logging standards
  2. RACI for security choices
  3. Escalation path design
  4. Change approval workflows
  5. Policy exception handling
  6. Ownership documentation
  7. Cross-team alignment rituals
  8. Security liaison roles
  9. Compliance evidence curation
  10. Versioned control mapping
  11. Sign-off automation
  12. Audit preparation rhythm
Module 6. NIST SSDF and Data Pipeline Architecture
Apply NIST SSDF to high-risk components like ETL, feature stores, and model serving.
12 chapters in this module
  1. Secure ETL pattern design
  2. Feature store access controls
  3. Model serving hardening
  4. Batch versus streaming risks
  5. Data lineage security
  6. Schema evolution safety
  7. Pipeline monitoring alerts
  8. Drift detection setup
  9. Authentication in pipelines
  10. Encryption in transit strategies
  11. Zero-trust principles applied
  12. Pipeline shutdown protocols
Module 7. Cross-Functional Alignment
Lead alignment between data, security, and product teams using NIST SSDF as a shared language.
12 chapters in this module
  1. Translating security for product
  2. Data team security champions
  3. Security team feedback loops
  4. Product roadmap integration
  5. Shared documentation standards
  6. Joint incident response
  7. Security sprint planning
  8. Product security OKRs
  9. Communication cadence design
  10. Escalation triage process
  11. Blameless postmortem culture
  12. Shared tooling adoption
Module 8. Documentation for Audit and Review
Produce clear, reusable artefacts that satisfy internal and external reviewers.
12 chapters in this module
  1. SoA drafting for data systems
  2. Control mapping templates
  3. Evidence collection checklist
  4. Version control for compliance
  5. Audit narrative structuring
  6. Regulator-facing summaries
  7. Internal review packets
  8. Third-party assessment prep
  9. Document retention policies
  10. Change history tracking
  11. Automated report generation
  12. Compliance dashboard design
Module 9. Managing Third-Party Components
Securely integrate external tools, libraries, and services into data systems.
12 chapters in this module
  1. Vendor security questionnaire
  2. Open source license checks
  3. Dependency tree analysis
  4. API security review
  5. SaaS provider onboarding
  6. Contractual obligations tracking
  7. Patch management rhythm
  8. End-of-life planning
  9. Supply chain transparency
  10. SBOM generation
  11. API key rotation policy
  12. Vendor incident response
Module 10. Incident Response for Data Systems
Prepare and respond to security events in data pipelines using SSDF-aligned practices.
12 chapters in this module
  1. Incident detection in pipelines
  2. Alert triage procedures
  3. Containment playbooks
  4. Forensic data preservation
  5. Legal hold coordination
  6. Internal reporting chain
  7. External disclosure prep
  8. Stakeholder communication
  9. Post-incident review
  10. Process improvement loop
  11. Drill scheduling
  12. Response automation tools
Module 11. Scaling NIST SSDF Across Teams
Extend SSDF practices beyond one team to drive organization-wide consistency.
12 chapters in this module
  1. Center of excellence setup
  2. Training program design
  3. Maturity assessment model
  4. Adoption metrics tracking
  5. Leadership reporting rhythm
  6. Tooling standardization
  7. Security pattern library
  8. Knowledge sharing rituals
  9. Champion network growth
  10. Feedback incorporation
  11. Roadmap alignment
  12. Governance committee role
Module 12. Continuous Improvement and Evolution
Keep SSDF integration current with evolving threats, tools, and business needs.
12 chapters in this module
  1. Control review cadence
  2. Threat landscape monitoring
  3. Framework update integration
  4. Lessons learned tracking
  5. Benchmarking against peers
  6. Tooling upgrade planning
  7. Feedback from audits
  8. Staff rotation benefits
  9. External certification prep
  10. Internal audit collaboration
  11. Security metric refinement
  12. Future state visioning

How this maps to your situation

  • Designing a new data pipeline requiring security review
  • Responding to auditor findings on control gaps
  • Onboarding a third-party model provider
  • Leading a postmortem after a data incident

Before vs. after

Before
Wait for security teams to review and approve pipeline changes, often after development is complete
After
Lead secure-by-design decisions from the start, reducing rework and owning outcomes

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, designed for working professionals. Total course time: 36 hours, spread flexibly over 6-8 weeks.

If nothing changes
Continuing to operate without SSDF integration means ongoing friction with security teams, delayed deployments, and missed opportunities to expand your leadership scope in high-impact technical domains.

How this compares to the alternatives

Unlike generic compliance courses, this program is tailored to data science roles applying NIST SSDF in product environments. It avoids board-level abstractions and focuses on concrete decisions, artefacts, and workflows that practitioners own.

Frequently asked

Is this course technical or policy-focused?
It's both: technical enough for hands-on data scientists, with clear mappings to compliance expectations and policy requirements.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this if my team doesn’t use NIST SSDF yet?
Yes, this course prepares you to lead adoption and become the internal reference.
$199 one-time. Approximately 3 hours per module, designed for working professionals. Total course time: 36 hours, spread flexibly 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