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Premium engagement picks with OWASP

$199.00
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A tailored course, built for your situation

Premium engagement picks with OWASP

Access higher-margin security projects by mastering offensive and defensive alignment in modern data stacks

$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.
Being passed over for high-visibility security engagements despite deep technical expertise

The situation this course is for

Skilled data leaders often sit outside the core OWASP workflow, missing opportunities to lead secure development cycles and high-stakes compliance reviews, even when their systems are central to the attack surface.

Who this is for

Senior data science and analytics leaders influencing security posture but not formally embedded in AppSec or DevSecOps pipelines

Who this is not for

Junior engineers, standalone security practitioners, or compliance officers without data science or engineering context

What you walk away with

  • Lead OWASP-based threat modeling sessions for data pipelines
  • Qualify for cross-functional engagements involving AppSec and infrastructure teams
  • Produce audit-ready documentation that aligns with red team findings
  • Negotiate scope and timelines directly with penetration testing groups
  • Deliver secure-by-design frameworks that reduce rework in AI and ML deployments

The 12 modules (with all 144 chapters)

Module 1. Mapping OWASP to data pipeline architecture
Identify where OWASP Top 10 controls intersect with data ingestion, transformation, and serving layers. Build context-aware threat models specific to ML workloads.
12 chapters in this module
  1. Data flow mapping under OWASP assumptions
  2. Injection risks in dynamic SQL pipelines
  3. Authentication bypass in API-fed datasets
  4. Session handling in notebook environments
  5. Access control misconfigurations in shared storage
  6. Sensitive data exposure in logs and caches
  7. Server-side request forgery in ETL jobs
  8. Insecure deserialization in model inputs
  9. Using components with known vulnerabilities
  10. Insufficient logging in pipeline monitoring
  11. Security misconfigurations in auto-scaling clusters
  12. Broken access control in federated queries
Module 2. Threat modeling for large-scale data systems
Apply STRIDE and PASTA frameworks to distributed data environments. Prioritize risks based on exploit likelihood and impact to downstream models.
12 chapters in this module
  1. Identifying spoofing vectors in identity tokens
  2. Tampering risks in intermediate data states
  3. Repudiation gaps in audit trails
  4. Information disclosure in debug outputs
  5. Denial of service in real-time pipelines
  6. Elevation of privilege in cluster access
  7. Threat trees for batch processing jobs
  8. Data poisoning attack paths
  9. Model inversion scenarios
  10. Adversarial input simulation
  11. Schema drift as attack vector
  12. Credential leakage in CI/CD
Module 3. Integrating red team feedback into data governance
Translate penetration test findings into data control improvements without overhauling existing workflows.
12 chapters in this module
  1. Interpreting red team reports for data teams
  2. Mapping findings to data layer controls
  3. Prioritizing remediation by risk tier
  4. Creating compensating controls for legacy systems
  5. Documenting exceptions with justification
  6. Aligning timelines with sprint cycles
  7. Tracking remediation in Jira clones
  8. Reporting progress to central security
  9. Building trust with offensive teams
  10. Negotiating scope reductions
  11. Escalating architectural blockers
  12. Closing loops on repeat findings
Module 4. Secure design patterns for ML pipelines
Embed OWASP principles into model training, serving, and feedback loops. Prevent model theft, data leakage, and prompt injection.
12 chapters in this module
  1. Input validation for unstructured data
  2. Sanitizing text inputs in NLP models
  3. Preventing prompt leakage in generative pipelines
  4. Model checkpoint protection
  5. Inference API rate limiting
  6. Authentication in prediction endpoints
  7. Caching risks in real-time scoring
  8. Monitoring for model drift attacks
  9. Logging predictions without PII
  10. Secure model registry policies
  11. Version control for trained weights
  12. Access logs for model endpoints
Module 5. Building audit-ready documentation
Create evidence packages that satisfy internal and external reviewers without slowing innovation.
12 chapters in this module
  1. SoA structure for data teams
  2. Control mapping templates
  3. Evidence collection workflows
  4. Automated log harvesting
  5. Data classification schemas
  6. Retention policies for sensitive outputs
  7. Access review cadence documentation
  8. Incident response playbooks
  9. Vendor risk assessments
  10. Third-party attestation handling
  11. Change management for pipeline updates
  12. Disaster recovery runbooks
Module 6. Negotiating scope with AppSec teams
Assert influence in security planning cycles by speaking the language of risk and control maturity.
12 chapters in this module
  1. Understanding AppSec priorities
  2. Translating data risks to business impact
  3. Proposing alternative mitigations
  4. Setting realistic timelines
  5. Escalating resource constraints
  6. Justifying technical debt
  7. Aligning with CISO objectives
  8. Presenting trade-offs clearly
  9. Using maturity models as leverage
  10. Avoiding scope creep
  11. Defining out-of-scope responsibly
  12. Closing engagements formally
Module 7. Vendor security reviews for data tools
Lead third-party risk assessments for new data platforms and SaaS providers using OWASP-aligned checklists.
12 chapters in this module
  1. Questionnaire design for data vendors
  2. Evaluating encryption at rest and in transit
  3. Assessing API security posture
  4. Reviewing SOC 2 reports
  5. Checking penetration test coverage
  6. Validating incident response SLAs
  7. Auditing access control models
  8. Reviewing code review practices
  9. Checking for open-source vulnerabilities
  10. Assessing dependency management
  11. Evaluating backup and recovery
  12. Signing off on vendor contracts
Module 8. Automating OWASP controls in CI/CD
Embed security checks directly into data pipeline deployment workflows.
12 chapters in this module
  1. Static analysis in PR pipelines
  2. Secrets detection in code commits
  3. Dependency scanning tools
  4. Infrastructure as code linting
  5. Automated compliance checks
  6. Policy as code frameworks
  7. Triggering manual reviews
  8. Integrating SAST tools
  9. Blocking deployments on failure
  10. Alerting on policy drift
  11. Rollback procedures
  12. Audit trail preservation
Module 9. Scaling secure practices across teams
Multiply your impact by creating reusable assets and training materials for peer groups.
12 chapters in this module
  1. Creating internal playbooks
  2. Developing training modules
  3. Hosting brown bag sessions
  4. Mentoring junior staff
  5. Standardizing control implementation
  6. Sharing templates and scripts
  7. Measuring adoption rates
  8. Gathering peer feedback
  9. Improving documentation iteratively
  10. Recognizing secure practices
  11. Celebrating secure releases
  12. Building community of practice
Module 10. Leading pre-acquisition security due diligence
Take ownership of technical risk reviews during mergers and acquisitions involving data assets.
12 chapters in this module
  1. Initial data inventory requests
  2. Assessing pipeline architecture
  3. Reviewing data lineage tools
  4. Evaluating access controls
  5. Checking encryption standards
  6. Auditing model governance
  7. Identifying shadow data stores
  8. Assessing vendor lock-in
  9. Reviewing compliance posture
  10. Estimating remediation costs
  11. Reporting findings to leadership
  12. Negotiating post-acquisition fixes
Module 11. OWASP in cloud-native data environments
Apply OWASP principles to serverless, containerized, and microservices-based data systems.
12 chapters in this module
  1. Container image security checks
  2. Orchestrator access controls
  3. Service mesh authentication
  4. API gateway policies
  5. Event-driven pipeline risks
  6. Function-level permissions
  7. Cold start attack vectors
  8. Logging in ephemeral environments
  9. Monitoring container escapes
  10. Securing build agents
  11. Network segmentation rules
  12. Zero-trust implementation
Module 12. Future-proofing data security posture
Stay ahead of emerging threats and compliance expectations in AI-driven environments.
12 chapters in this module
  1. Tracking new OWASP updates
  2. Monitoring AI-specific risks
  3. Preparing for regulatory changes
  4. Engaging with standards bodies
  5. Contributing to open source
  6. Sharing learnings externally
  7. Building thought leadership
  8. Speaking at conferences
  9. Publishing case studies
  10. Mentoring next-gen leaders
  11. Shaping internal policy
  12. Influencing product roadmap

How this maps to your situation

  • When joining a new security review cycle
  • Before a third-party audit begins
  • During vendor selection for a new data tool
  • After a red team exercise reveals gaps

Before vs. after

Before
Being invited late to security discussions, reacting to findings, and missing chances to lead high-impact projects
After
Proactively leading OWASP-aligned reviews, picking premium engagements, and owning secure-by-design rollouts across data systems

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 3-4 hours per week over 12 weeks, with self-paced access to all materials

If nothing changes
Continuing to miss high-visibility, high-leverage security engagements that position data leaders as central to organizational resilience

How this compares to the alternatives

Unlike generic security certifications, this course focuses specifically on how data science managers can leverage OWASP to increase their sphere of influence and access higher-margin work, without needing to become full-time security practitioners.

Frequently asked

Do I need a security background to benefit from this course?
No. The course is designed for data leaders who influence security outcomes but aren’t security specialists. It focuses on practical integration, not theory.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me lead engagements outside my immediate team?
Yes. You’ll gain the frameworks and documentation patterns needed to confidently lead cross-functional security reviews and pre-acquisition due diligence.
$199 one-time. Approximately 3-4 hours per week over 12 weeks, with self-paced access to all materials.

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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