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
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)
- What NIST SSDF means for data roles
- Secure development lifecycle stages
- Data pipeline threat modeling basics
- Connecting controls to ML workflows
- Key NIST SSDF publications overview
- SSDF versus OWASP SAMM
- Integration touchpoints with data ops
- Mapping controls to data stages
- Common misalignments to avoid
- Security gate anti-patterns
- How Atlassian teams use standards
- Practitioner mindset shift
- Threat modeling at project kickoff
- Data classification up front
- Secure architecture patterns
- Vendor risk in tooling selection
- Design doc security annotations
- Stakeholder alignment checklist
- Embedding SSDF in Jira tickets
- Security requirements drafting
- Choosing encryption early
- Access model planning
- Logging and monitoring scope
- Documenting assumptions securely
- Code review for security intent
- Dependency scanning setup
- Secrets management in notebooks
- Container security basics
- Pipeline as code standards
- Version control hygiene
- Peer review templates
- Static analysis integration
- Dynamic testing for APIs
- Error handling securely
- Input validation in data transforms
- Secure notebook sharing
- Automated security gates
- Vulnerability scan scheduling
- Test coverage for security claims
- Pen testing coordination
- False positive triage
- Audit trail generation
- Evidence collection automation
- Security test documentation
- Model drift and risk linkage
- Pipeline rollback planning
- Incident simulation drills
- Remediation workflow design
- Decision logging standards
- RACI for security choices
- Escalation path design
- Change approval workflows
- Policy exception handling
- Ownership documentation
- Cross-team alignment rituals
- Security liaison roles
- Compliance evidence curation
- Versioned control mapping
- Sign-off automation
- Audit preparation rhythm
- Secure ETL pattern design
- Feature store access controls
- Model serving hardening
- Batch versus streaming risks
- Data lineage security
- Schema evolution safety
- Pipeline monitoring alerts
- Drift detection setup
- Authentication in pipelines
- Encryption in transit strategies
- Zero-trust principles applied
- Pipeline shutdown protocols
- Translating security for product
- Data team security champions
- Security team feedback loops
- Product roadmap integration
- Shared documentation standards
- Joint incident response
- Security sprint planning
- Product security OKRs
- Communication cadence design
- Escalation triage process
- Blameless postmortem culture
- Shared tooling adoption
- SoA drafting for data systems
- Control mapping templates
- Evidence collection checklist
- Version control for compliance
- Audit narrative structuring
- Regulator-facing summaries
- Internal review packets
- Third-party assessment prep
- Document retention policies
- Change history tracking
- Automated report generation
- Compliance dashboard design
- Vendor security questionnaire
- Open source license checks
- Dependency tree analysis
- API security review
- SaaS provider onboarding
- Contractual obligations tracking
- Patch management rhythm
- End-of-life planning
- Supply chain transparency
- SBOM generation
- API key rotation policy
- Vendor incident response
- Incident detection in pipelines
- Alert triage procedures
- Containment playbooks
- Forensic data preservation
- Legal hold coordination
- Internal reporting chain
- External disclosure prep
- Stakeholder communication
- Post-incident review
- Process improvement loop
- Drill scheduling
- Response automation tools
- Center of excellence setup
- Training program design
- Maturity assessment model
- Adoption metrics tracking
- Leadership reporting rhythm
- Tooling standardization
- Security pattern library
- Knowledge sharing rituals
- Champion network growth
- Feedback incorporation
- Roadmap alignment
- Governance committee role
- Control review cadence
- Threat landscape monitoring
- Framework update integration
- Lessons learned tracking
- Benchmarking against peers
- Tooling upgrade planning
- Feedback from audits
- Staff rotation benefits
- External certification prep
- Internal audit collaboration
- Security metric refinement
- 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
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.
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
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.