A tailored course, built for your situation
Mastering OWASP for Master Data Analysts
Build authority in secure data practices with a recognized framework
The situation this course is for
Even skilled data professionals find themselves sidelined in security discussions because their expertise isn’t mapped to recognized standards like OWASP. This leads to missed influence on controls, slower approvals, and work that doesn’t rise to executive attention.
Who this is for
Senior data analysts in regulated sectors who interface with security and compliance teams but lack formal recognition in security frameworks
Who this is not for
Junior data clerks, ETL developers without governance exposure, or security engineers focused solely on network perimeters
What you walk away with
- Fluency in OWASP Top 10 mappings to data exposure points
- Templates for documenting secure data workflows aligned with OWASP principles
- Credibility to lead cross-functional reviews on API and data access controls
- Recognition as the internal go-to for OWASP-related data risk questions
- A repeatable process to evaluate third-party tools against OWASP benchmarks
The 12 modules (with all 144 chapters)
- Data lifecycle and OWASP alignment
- Where data roles intersect with OWASP
- Common misperceptions in regulated firms
- Case study: medical device data leak
- Mapping OWASP to non-web assets
- Defining data-specific threat models
- Stakeholder expectations on OWASP
- Documenting data exposure controls
- OWASP and compliance overlap
- Internal audit expectations
- Building secure data culture
- Next-step actions for analysts
- Injection in data queries
- Broken authentication and data access
- Sensitive data exposure in logs
- XML external entities in data imports
- Broken access control on datasets
- Security misconfigurations in ETL
- Cross-site scripting in data tools
- Insecure deserialization risks
- Using components with known flaws
- Insufficient logging in pipelines
- Server-side request forgery
- Applying Top 10 to master data
- Threat actors in data ecosystems
- Data flow diagramming
- Identifying trust boundaries
- Abuse case development
- DREAD scoring for data
- OWASP threat dragon basics
- Documenting assumptions
- Reviewing third-party data risks
- Mapping threats to controls
- Prioritizing mitigations
- Cross-team validation
- Updating threat models
- Principle of least privilege
- Defense in depth for data layers
- Fail-safe defaults in pipelines
- Secure defaults in tooling
- Economy of mechanism
- Complete mediation on access
- Open design philosophy
- Separation of duties
- Least common mechanism
- Psychological acceptability
- Minimizing attack surface
- Layered data protections
- Role-based access design
- Attribute-based controls
- OAuth for data tools
- API key management
- Session handling in data apps
- Token expiration policies
- Multi-factor for privileged access
- Access review cadence
- Just-in-time access
- Privileged data roles
- Monitoring access changes
- Audit trail requirements
- Sanitizing inbound data
- Whitelist validation rules
- Data type enforcement
- String length checks
- Encoding normalization
- SQL injection prevention
- Parameterized queries
- File upload validation
- Metadata sanitization
- Error message handling
- Invalid input logging
- Automated validation testing
- Hardening database defaults
- Secure ETL server setup
- Disabling unused services
- Patch management schedules
- Baseline configuration templates
- Automated config checks
- Logging configuration changes
- Version control for configs
- Change approval workflows
- Cloud storage security
- Data masking defaults
- Inventory of data systems
- Generic error messages
- Avoiding stack traces
- Structured logging formats
- Log retention policies
- Sensitive data in logs
- Centralized log collection
- Monitoring for anomalies
- Alerting on suspicious patterns
- Log integrity controls
- Incident response triggers
- Audit trail completeness
- Reviewing logs for compliance
- Authentication for data APIs
- Rate limiting strategies
- Input validation on endpoints
- Preventing DDoS on data routes
- Securing GraphQL
- Documentation security
- Versioning securely
- Deprecating old APIs
- Monitoring API usage
- Third-party API risks
- Contract testing
- Penetration testing APIs
- Vendor security questionnaires
- OWASP compliance checks
- Reviewing open-source components
- SBOM analysis
- Penetration test requirements
- Data processing agreements
- Security attestations
- Continuous monitoring
- Incident response clauses
- Exit strategy documentation
- Patch transparency
- Vendor lock-in considerations
- Mapping OWASP to SOC 2
- OWASP and ISO 27001 overlap
- Evidence collection strategies
- Preparing for security audits
- Documenting control adherence
- Auditor communication tactics
- Gap analysis using OWASP
- Remediation planning
- Reporting OWASP compliance
- Lessons from past audits
- Audit follow-up actions
- Continuous improvement
- Positioning your expertise
- Presenting OWASP insights
- Building cross-functional trust
- Creating reusable playbooks
- Mentoring peers
- Internal training design
- Writing internal guides
- Influencing roadmap decisions
- Tracking recognition metrics
- Documenting impact
- Advocating for resources
- Sustaining leadership visibility
How this maps to your situation
- After onboarding new data sources
- During SOC 2 or ISO 27001 audits
- Before vendor security reviews
- When designing new data pipelines
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 integration into weekly workflows without disruption.
How this compares to the alternatives
Unlike generic cybersecurity courses focused on network defense or application development, this program is tailored specifically for data analysts in regulated environments who must bridge governance and security using recognized standards like OWASP.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.