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GEN5875 Mastering OWASP for Data Engineers in High-Stakes Consulting

$199.00
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A tailored course, built for your situation

Mastering OWASP for Data Engineers in High-Stakes Consulting

Build trusted, audit-ready data systems with precision and authority

$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.
Spending cycles on reactive fixes instead of proactive design

The situation this course is for

Data engineers in consulting roles often inherit architectures with embedded compliance debt. They’re asked to ‘make it work’ under audit timelines, rather than shape the system upstream. This reactive stance limits visibility, budget leverage, and client trust.

Who this is for

Mid-career Data Engineer in a global consulting firm, regularly interfacing with compliance and security teams, working across regulated sectors (finance, healthcare, government). Values precision, authority, and clean delivery.

Who this is not for

Junior engineers learning SQL pipelines, developers focused on UI-layer security, or compliance analysts without code exposure.

What you walk away with

  • Identify OWASP Top 10 risks specific to data pipeline architecture
  • Map OWASP controls directly to data layer components (storage, ETL, APIs)
  • Integrate security artefacts into CI/CD workflows without slowing delivery
  • Produce audit-ready documentation that passes reviewer scrutiny
  • Position yourself as the go-to engineer for high-trust data engagements

The 12 modules (with all 144 chapters)

Module 1. Understanding OWASP in the Data Layer
Establish the connection between application security principles and data system vulnerabilities. Focus on API abuse, insecure deserialization, and broken access controls in ETL workflows.
12 chapters in this module
  1. Why OWASP matters beyond web apps
  2. Data pipeline attack surface mapping
  3. The top 3 OWASP risks in batch processing
  4. Insecure data serialization patterns
  5. Broken object-level authorization in APIs
  6. Mass assignment in schema evolution
  7. Credential leakage in logging streams
  8. Server-side request forgery in data routing
  9. Improper asset management in data lakes
  10. Insufficient logging of access patterns
  11. Security misconfigurations in cloud storage
  12. Cryptographic failures in data-at-rest
Module 2. Threat Modeling Data Architectures
Learn to proactively assess data systems using STRIDE and DREAD frameworks tailored to pipeline topology. Output: annotated threat models ready for peer review.
12 chapters in this module
  1. STRIDE applied to data flows
  2. Identifying spoofing vectors in ingestion
  3. Tampering risks in transformation logic
  4. Repudiation in audit logging
  5. Information disclosure in staging layers
  6. Denial of service in downstream syncs
  7. Elevation of privilege in pipeline ownership
  8. DREAD scoring for data risks
  9. Mapping OWASP to MITRE ATT&CK
  10. Threat trees for ingestion endpoints
  11. Automated threat detection hooks
  12. Review-ready threat model templates
Module 3. Secure Data Ingestion Patterns
Design ingestion pipelines that validate, sanitize, and isolate inputs by default. Includes file, API, and stream processing contexts.
12 chapters in this module
  1. Input validation at source boundaries
  2. Content-type sniffing risks
  3. File upload sanitization
  4. API key leakage prevention
  5. OAuth scope validation in ingestion
  6. Rate limiting for data APIs
  7. Schema conformance on entry
  8. Malformed XML/JSON handling
  9. CSV injection patterns
  10. Log poisoning detection
  11. Buffer overflow in stream buffers
  12. Secure parsing libraries
Module 4. Authentication and Authorization in Data Systems
Implement fine-grained access controls across ingestion, transformation, and output layers. Covers impersonation, role chaining, and token misuse.
12 chapters in this module
  1. Principle of least privilege in pipelines
  2. OAuth token lifetime management
  3. Role-based access to staging tables
  4. Attribute-based access in query layers
  5. Token impersonation risks
  6. Service account hardening
  7. Multi-tenant isolation patterns
  8. SSO integration security
  9. API gateway policy enforcement
  10. Credential rotation automation
  11. Role chaining abuse detection
  12. Access review reporting
Module 5. Encryption and Key Management
Apply encryption at rest and in transit with robust key handling. Includes KMS integration, key rotation, and audit logging.
12 chapters in this module
  1. TLS termination for data APIs
  2. Client-side vs server-side encryption
  3. KMS integration patterns
  4. Key rotation automation
  5. Encrypted data shuffling risks
  6. HSM-backed key storage
  7. Leaked keys in configuration files
  8. Environment variable exposure
  9. Audit logging for key access
  10. Cryptographic agility planning
  11. PQC readiness indicators
  12. Data masking vs encryption
Module 6. Secure Transformation Logic
Avoid code injection, deserialization, and logic flaws in ETL jobs. Focus on Python, Spark, and SQL contexts.
12 chapters in this module
  1. Code injection in dynamic queries
  2. Unsafe deserialization in job configs
  3. Job chaining with untrusted input
  4. SQL injection in templated queries
  5. Command injection in subprocess calls
  6. Template injection in config files
  7. Untrusted library imports
  8. Dependency chain verification
  9. Remote code execution in UDFs
  10. Sandboxing untrusted transformations
  11. Input sanitization in joins
  12. Error handling that leaks state
Module 7. Data Output and Exfiltration Controls
Prevent unauthorized data egress through APIs, dashboards, and file exports. Implement data loss prevention patterns.
12 chapters in this module
  1. API output filtering rules
  2. Dashboard access leakage
  3. File export watermarking
  4. Sensitive data discovery in outputs
  5. PII exposure in logs
  6. Batch job data leaks
  7. Cross-tenant output contamination
  8. Email delivery misconfigurations
  9. Unencrypted S3 exports
  10. CDN caching of sensitive data
  11. Data retention policy violations
  12. Automated exfiltration detection
Module 8. Logging, Monitoring, and Detection
Build observable systems that surface misuse and enable rapid response. Includes correlation, anomaly detection, and alerting.
12 chapters in this module
  1. Log schema standardization
  2. Audit trail completeness
  3. Anomalous query detection
  4. User behavior analytics
  5. Pipeline restart logging
  6. Failed login correlation
  7. Data volume anomaly thresholds
  8. Role change notifications
  9. Alert fatigue reduction
  10. SIEM integration patterns
  11. Incident response playbooks
  12. Automated forensic data capture
Module 9. Compliance Integration
Align OWASP controls with GDPR, HIPAA, SOC 2, and ISO 27001 requirements. Generate compliance evidence natively.
12 chapters in this module
  1. Mapping OWASP to GDPR Article 32
  2. HIPAA technical safeguards
  3. SOC 2 CC6.1 alignment
  4. ISO 27001 A.12.2.1 integration
  5. Data protection impact assessments
  6. Regulator-facing documentation
  7. Evidence generation automation
  8. Control boundary definition
  9. Compliance-ready logs
  10. Third-party audit preparation
  11. Client assurance reporting
  12. Cross-framework mapping
Module 10. Automating Security in CI/CD
Embed security checks into pipeline deployment workflows. Includes static analysis, secrets scanning, and policy-as-code.
12 chapters in this module
  1. Pre-commit hooks for secrets
  2. Static analysis in pull requests
  3. Dependency scanning automation
  4. Policy-as-code enforcement
  5. Infrastructure as code scanning
  6. Container security testing
  7. Automated compliance checks
  8. Gate approval workflows
  9. Pipeline-as-code security
  10. Drift detection
  11. Rollback readiness
  12. Security gates in staging
Module 11. Client-Facing Security Assurance
Build credibility with clients through clear, documented security posture. Covers SOC 2 reports, questionnaires, and architecture reviews.
12 chapters in this module
  1. Security questionnaires response
  2. SOC 2 compliance narratives
  3. Architecture review preparation
  4. Trust documentation templates
  5. Client assurance meetings
  6. Third-party auditor coordination
  7. Gap assessment delivery
  8. Remediation plan ownership
  9. Client risk committee updates
  10. Vendor security reviews
  11. Contractual compliance clauses
  12. Assurance roadmap development
Module 12. Leading High-Trust Data Engagements
Position yourself as the trusted advisor on data system security. Includes engagement selection, scoping, and authority negotiation.
12 chapters in this module
  1. Identifying high-leverage opportunities
  2. Engagement qualification criteria
  3. Budget influence in proposals
  4. Scope negotiation with security teams
  5. Authority to design upstream
  6. Cross-functional leadership
  7. Stakeholder alignment tactics
  8. Value-based pricing frameworks
  9. Referenceable outcomes
  10. Repeat client patterns
  11. Thought leadership positioning
  12. Career compounding through trust

How this maps to your situation

  • Pre-engagement threat modeling
  • Secure pipeline delivery
  • Audit and compliance readiness
  • Client assurance and trust

Before vs. after

Before
Reacting to compliance requests after architecture decisions are made.
After
Leading with security-first design and winning higher-margin, strategic engagements.

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 to fit around project cycles.

If nothing changes
Continuing to deliver technically sound pipelines that still require rework under audit pressure, missing opportunities to lead trusted initiatives.

How this compares to the alternatives

Unlike generic security courses, this focuses on data engineers in consulting, real code, real pipelines, real compliance pressure. No theory, no fluff, just actionable patterns you can apply tomorrow.

Frequently asked

Is this course only for web application security?
No. It focuses on data system risks, pipelines, APIs, ETL jobs, and storage layers, using OWASP principles adapted to engineering in regulated environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me pass audits?
Yes. You’ll produce documentation and design patterns that align with OWASP, SOC 2, and ISO 27001 requirements, reducing audit rework.
$199 one-time. Approximately 3 hours per module, designed to fit around project cycles..

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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