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GEN0524 Mastering OWASP for Aspiring Data Analysts in Regulated Industries

$199.00
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A tailored course, built for your situation

Mastering OWASP for Aspiring Data Analysts in Regulated Industries

Build confidence in secure data workflows with a structured path through modern web risk frameworks

$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.

Who this is for

Early-career data analyst in a regulated tech environment building credibility in secure data practices, navigating compliance-adjacent deliverables without deep security training

Who this is not for

Senior penetration testers, CISOs, or software developers leading OWASP implementation at the code level

What you walk away with

  • Translate OWASP Top 10 risks into data-specific threat models
  • Produce audit-ready control mapping for data pipelines
  • Anticipate red-team challenges on authentication and input validation layers
  • Document security decisions with framework-backed reasoning
  • Structure cross-functional narratives that align data and security teams

The 12 modules (with all 144 chapters)

Module 1. Understanding OWASP in the Context of Data Workflows
Lays the foundation by connecting OWASP's core mission to real data analyst responsibilities like pipeline validation, access governance, and report integrity.
12 chapters in this module
  1. How web application risks impact data integrity downstream
  2. Mapping OWASP Top 10 to common data processing vulnerabilities
  3. Why data analysts are now first responders in security workflows
  4. Differentiating between developer security and data stewardship
  5. Key intersections of data roles and OWASP control areas
  6. Recognizing security debt in legacy reporting systems
  7. Common misconceptions about OWASP for non-developers
  8. How GDPR and data privacy tie into OWASP risks
  9. Identifying high-risk data touchpoints in dashboards
  10. Cross-walking SOC 2 evidence needs with OWASP controls
  11. Understanding OWASP's role in cloud-native environments
  12. Preparing for audit questions on data application security
Module 2. OWASP Top 10: Relevance to Data Analysts
Breaks down each OWASP risk category with data-specific examples, showing how injection, authentication flaws, and exposure appear in queries and reports.
12 chapters in this module
  1. SQL injection risks in ad hoc query workflows
  2. Authentication bypass in self-service BI portals
  3. Exposure of sensitive data through API-connected dashboards
  4. Insecure direct object references in shared datasets
  5. Misconfigured security headers impacting data exports
  6. Vulnerable third-party libraries in data visualization tools
  7. Insufficient logging in ETL job monitoring
  8. Broken access controls in shared reporting environments
  9. Server-side request forgery in data integration tools
  10. Using data classification to prioritize OWASP risks
  11. Mapping data pipeline stages to OWASP risk categories
  12. Creating data-specific threat scenarios from OWASP examples
Module 3. Threat Modeling for Data-Centric Applications
Teaches how to proactively identify risks in data products using structured frameworks aligned with OWASP principles.
12 chapters in this module
  1. Introducing threat modeling to non-security roles
  2. Using STRIDE to evaluate data workflow risks
  3. Building data flow diagrams for security analysis
  4. Identifying trust boundaries in ETL pipelines
  5. Assessing data exposure in cloud storage layers
  6. Evaluating access patterns for insider threat risks
  7. Prioritizing threats by impact and likelihood
  8. Documenting assumptions in data pipeline design
  9. Incorporating red-team feedback into threat models
  10. Aligning threat models with compliance requirements
  11. Versioning threat assessments across data projects
  12. Communicating risks to engineering and security teams
Module 4. Secure Data Pipeline Design Principles
Covers architectural patterns that reduce OWASP risk exposure in ETL, transformation, and visualization layers.
12 chapters in this module
  1. Validating inputs at ingestion from untrusted sources
  2. Sanitizing data in transformation scripts
  3. Avoiding hardcoded credentials in pipeline jobs
  4. Implementing least privilege access in data workflows
  5. Encrypting sensitive data in transit and at rest
  6. Securing API connections to external data sources
  7. Handling PII in staging and test environments
  8. Using parameterized queries to prevent injection
  9. Auditing data access through logging mechanisms
  10. Isolating high-risk data processes in sandboxed environments
  11. Validating output formats for unintended exposure
  12. Designing for secure data retention and deletion
Module 5. Control Mapping for Audit-Ready Documentation
Shows how to link OWASP guidance to internal controls and audit requirements, especially for regulated environments.
12 chapters in this module
  1. Translating OWASP controls into data-specific evidence
  2. Mapping OWASP risks to SOC 2 control objectives
  3. Documenting control implementation for auditors
  4. Creating traceable links between risks and mitigations
  5. Using matrices to show control coverage over time
  6. Aligning data security documentation with ISO 27001
  7. Preparing for auditor questions on OWASP alignment
  8. Versioning control documentation with pipeline changes
  9. Automating evidence collection for recurring audits
  10. Building cross-functional approval workflows
  11. Storing documentation in access-controlled repositories
  12. Demonstrating continuous control operation
Module 6. Secure Query and Reporting Practices
Focuses on mitigating OWASP risks in everyday analyst activities like writing queries and publishing dashboards.
12 chapters in this module
  1. Writing SQL queries resistant to injection attacks
  2. Using views to limit data exposure in reporting
  3. Validating parameters in dynamic dashboards
  4. Avoiding sensitive data in error messages
  5. Securing access to self-service analytics tools
  6. Enforcing role-based access in BI platforms
  7. Masking PII in preview and test reports
  8. Auditing dashboard access and download activity
  9. Handling shared report links securely
  10. Validating third-party data connectors
  11. Reviewing query logs for anomalous patterns
  12. Implementing query timeouts and limits
Module 7. Authentication and Session Management in Data Tools
Covers secure handling of credentials, tokens, and access in data integration and visualization platforms.
12 chapters in this module
  1. Storing credentials securely in pipeline configurations
  2. Using OAuth tokens instead of passwords
  3. Rotating access keys on a regular schedule
  4. Avoiding hardcoded secrets in notebooks
  5. Managing multi-factor access for data platforms
  6. Handling session timeouts in web-based tools
  7. Validating identity providers in single sign-on
  8. Detecting and blocking brute-force attempts
  9. Logging authentication events for review
  10. Integrating identity management with data access
  11. Auditing user sessions across reporting tools
  12. Revoking access for deactivated accounts
Module 8. Data Validation and Input Sanitization Techniques
Teaches practical methods to sanitize untrusted data inputs to prevent exploitation through OWASP-related vulnerabilities.
12 chapters in this module
  1. Validating file types and extensions on upload
  2. Sanitizing CSV and JSON inputs in pipelines
  3. Checking for malicious script content in strings
  4. Using allowlists for expected input formats
  5. Escaping special characters in dynamic queries
  6. Validating date and number formats rigorously
  7. Rejecting malformed data early in ingestion
  8. Using schema enforcement at the pipeline level
  9. Detecting anomalous input patterns
  10. Implementing content-type checking for APIs
  11. Logging rejected inputs for threat analysis
  12. Educating stakeholders on secure data submission
Module 9. Error Handling and Logging Best Practices
Shows how to design secure error responses and maintain logs that support security without exposing sensitive data.
12 chapters in this module
  1. Avoiding stack traces in user-facing reports
  2. Logging errors without exposing PII
  3. Categorizing errors for security monitoring
  4. Differentiating between client and server errors
  5. Masking sensitive data in exception messages
  6. Using structured logging formats for analysis
  7. Retaining logs for compliance and forensics
  8. Alerting on repeated failed access attempts
  9. Integrating logs with centralized SIEM tools
  10. Auditing changes to logging configurations
  11. Reviewing logs for signs of probing attacks
  12. Documenting error handling in runbooks
Module 10. Secure API Usage in Data Integrations
Covers secure design and use of APIs to pull, push, and transform data across systems with OWASP compliance in mind.
12 chapters in this module
  1. Validating API endpoints for known vulnerabilities
  2. Using rate limiting to prevent abuse
  3. Securing API keys in configuration files
  4. Handling OAuth scope appropriately
  5. Validating data received from third-party APIs
  6. Implementing retry logic without data duplication
  7. Monitoring API response times and errors
  8. Auditing API access and changes
  9. Using TLS for all API communications
  10. Checking API documentation for security notes
  11. Managing API versioning securely
  12. Documenting API dependencies in runbooks
Module 11. Cross-Functional Collaboration on Security Risks
Equips analysts to lead security conversations with developers, auditors, and compliance teams using OWASP as a shared language.
12 chapters in this module
  1. Communicating OWASP risks to non-technical stakeholders
  2. Translating auditor findings into data actions
  3. Facilitating meetings between data and security teams
  4. Presenting control gaps with supporting evidence
  5. Building trust through consistent security practices
  6. Documenting decisions for future reference
  7. Responding to red-team findings professionally
  8. Escalating risks with clear impact statements
  9. Incorporating feedback into data workflows
  10. Aligning timelines with audit and compliance cycles
  11. Sharing best practices across peer groups
  12. Maintaining cross-functional communication logs
Module 12. Building a Personal Playbook for OWASP in Data Roles
Guides the learner to compile a customized, reusable reference guide for ongoing use in projects and audits.
12 chapters in this module
  1. Organizing OWASP knowledge for quick reference
  2. Creating templates for control documentation
  3. Building a decision tree for common risks
  4. Compiling examples from past projects
  5. Updating the playbook with new threat insights
  6. Storing the playbook in accessible locations
  7. Sharing select sections with team leads
  8. Using the playbook in onboarding new members
  9. Reviewing the playbook quarterly for relevance
  10. Integrating feedback from auditors and peers
  11. Linking playbook entries to training materials
  12. Demonstrating proactive security posture

How this maps to your situation

  • Onboarding into regulated data environments
  • Preparing for internal or external audits
  • Leading secure data product design
  • Responding to red-team findings

Before vs. after

Before
Reacts to security findings in data projects, struggles to justify control choices, spends extra time preparing for audits
After
Anticipates OWASP-related risks in design phase, produces documentation that passes review quickly, leads cross-functional alignment

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 access.

Time investment: Approximately 6 hours of total reading and reflection, designed to fit into weekend or evening blocks.

If nothing changes
Continuing without structured OWASP knowledge may lead to repeated audit findings, extended review cycles, and missed opportunities to lead secure data initiatives.

How this compares to the alternatives

Unlike broad cybersecurity certifications, this course focuses only on the OWASP concepts most impactful to data analysts , no developer-heavy detours, no irrelevant modules.

Frequently asked

Do I need a security background to benefit?
No. This course is designed specifically for data professionals without prior security training, using familiar data workflows to explain OWASP concepts.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me in my current role at IBM?
Yes. It builds directly on your IBM Data Analyst certification and prepares you to handle the security and compliance expectations that arise in client or internal data projects.
$199 one-time. Approximately 6 hours of total reading and reflection, designed to fit into weekend or evening blocks..

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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