A tailored course, built for your situation
Mastering OWASP for Global Finance Data and AI Leaders
Build authority in security-first AI and data systems with a structured path through OWASP’s controls
$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
Senior data and AI leader in global enterprise settings, driving secure, scalable analytics and finance systems
Who this is not for
Junior analysts, IT support staff, or engineers without governance or architecture responsibilities
What you walk away with
- Lead OWASP-aligned AI security reviews with confidence and precision
- Shape vendor selection and integration strategies using OWASP control benchmarks
- Drive peer consensus in cross-functional technical architecture decisions
- Deliver implementation-grade security documentation ahead of audit cycles
- Establish yourself as the internal reference on secure AI system design
The 12 modules (with all 144 chapters)
Module 1. Introducing OWASP and Its Role in AI Systems
Establish the foundation of OWASP’s relevance in modern AI and data platforms, especially within finance and global operations.
12 chapters in this module
- What OWASP Solves in AI and Data Systems
- OWASP vs Traditional Security Frameworks
- Mapping OWASP to Finance Data Risks
- Key Components of the OWASP Top 10
- OWASP's Influence on Vendor Decisions
- Security by Design in AI Architecture
- How Finance Teams Use OWASP Controls
- Global Compliance Overlaps with OWASP
- Integrating OWASP into AI Governance
- Common Misconceptions About OWASP
- OWASP in Regulated Industries
- Setting the Baseline for Course Progression
Module 2. OWASP Top 10 for Finance AI Applications
Deep dive into each OWASP Top 10 risk with concrete examples relevant to financial data pipelines and AI models.
12 chapters in this module
- Understanding Injection in Data Queries
- Broken Authentication in Internal Tools
- Sensitive Data Exposure in Analytics
- XML External Entities in Reporting
- Broken Access Control in Dashboards
- Security Misconfiguration in Cloud AI
- Cross-Site Scripting in Web Outputs
- Insecure Deserialization Risks
- Using Components with Known Vulnerabilities
- Insufficient Logging and Monitoring
- Applying the Top 10 to ML Pipelines
- Prioritizing Risks by Business Impact
Module 3. Integrating OWASP into Data Governance
Bridge OWASP controls into existing data governance frameworks used in global finance organizations.
12 chapters in this module
- Aligning OWASP with Data Classification
- Mapping Controls to Data Stewardship Roles
- Security Gates in Data Lifecycle
- OWASP in ETL and Data Pipelines
- Data Access Reviews Using OWASP Benchmarks
- Audit Preparation with OWASP Evidence
- Documenting Control Implementation
- Linking OWASP to SOX Controls
- Cross-System Consistency Strategies
- Versioning OWASP Assessments
- Scaling Across Global Data Teams
- Maintaining Relevance Over Time
Module 4. Vendor Selection and Third-Party Risk
Use OWASP as a decision filter for evaluating AI and analytics vendors in enterprise procurement.
12 chapters in this module
- Assessing Vendor OWASP Compliance
- Requesting OWASP Documentation
- Scoring Third-Party Security Posture
- Negotiating OWASP-Driven SLAs
- Integrating OWASP into RFPs
- Evaluating AI Model Security Claims
- Penetration Testing Requirements
- Continuous Monitoring of Vendors
- Handling OWASP Gaps in Contracts
- Benchmarking Against Industry Peers
- Managing Multi-Vendor Ecosystems
- Creating Repeatable Vendor Reviews
Module 5. Secure AI Development Lifecycle
Embed OWASP principles into the AI development process from concept to deployment.
12 chapters in this module
- Threat Modeling for AI Projects
- Security Requirements Gathering
- OWASP in Agile Data Sprints
- Code Review Using OWASP Checklists
- Static Analysis Tools Integration
- Dynamic Testing in Staging
- Model Input Validation Techniques
- Securing Model APIs
- Monitoring for Anomalies in Production
- Incident Response Planning
- Post-Deployment Audits
- Feedback Loops for Security Debt
Module 6. Building Internal Security Advocacy
Position yourself as the go-to resource on OWASP within global cross-functional teams.
12 chapters in this module
- Communicating OWASP to Non-Technical Stakeholders
- Running OWASP Awareness Sessions
- Creating Internal Playbooks
- Establishing Peer Review Circles
- Presenting to Executive Leadership
- Linking Security to Business Outcomes
- Developing Cross-Team Champions
- Measuring Adoption Across Units
- Recognizing Secure Practices Publicly
- Integrating into Onboarding
- Sustaining Engagement Over Time
- Scaling Beyond Initial Wins
Module 7. Implementing OWASP in Cloud Environments
Apply OWASP controls specifically to cloud-hosted finance and AI systems on AWS, GCP, or Azure.
12 chapters in this module
- Cloud Security Posture and OWASP
- Securing Serverless AI Functions
- Identity and Access in Cloud AI
- Network Security in Multi-Region Deployments
- Data Encryption Across Cloud Zones
- Logging and Monitoring in Cloud Platforms
- Automated Compliance Scans
- Cloud Provider vs Customer Responsibility
- Using Native Tools for OWASP Checks
- Cost-Security Tradeoff Decisions
- Multi-Cloud Consistency
- Scaling Security with Infrastructure as Code
Module 8. Audit Readiness and Documentation
Generate clean, thorough documentation that satisfies internal and external auditors using OWASP standards.
12 chapters in this module
- Preparing for Internal Audits
- Documenting Control Implementation
- Gathering Evidence for OWASP Claims
- Creating Audit-Friendly Narratives
- Anticipating Follow-Up Questions
- Cross-Referencing SOX and OWASP
- Version Control for Security Docs
- Working with External Auditors
- Responding to Findings
- Continuous Documentation Updates
- Automating Evidence Collection
- Maintaining Audit Trails
Module 9. Leading Cross-Functional Security Reviews
Take ownership of technical architecture reviews using OWASP as your framework for influence.
12 chapters in this module
- Setting the Agenda for Security Reviews
- Facilitating Constructive Debates
- Using OWASP to Guide Tradeoffs
- Documenting Decisions and Rationale
- Handling Technical Disagreements
- Incorporating Peer Feedback
- Escalation Paths for Deadlocks
- Building Credibility Over Time
- Balancing Speed and Security
- Integrating Legal and Compliance Input
- Maintaining Decision Logs
- Sharing Outcomes Across Teams
Module 10. Advanced Threat Modeling for AI Systems
Go beyond basics with proactive threat modeling tailored to AI and machine learning pipelines.
12 chapters in this module
- Identifying AI-Specific Attack Vectors
- Model Inversion and Data Leakage
- Adversarial Attacks on ML Models
- Poisoning Training Data
- Model Stealing Risks
- Bias as a Security Risk
- Threat Modeling Workshops
- Using STRIDE with OWASP
- Scenario-Based Risk Ranking
- Validating Assumptions Through Testing
- Updating Models as Threats Evolve
- Reporting Threat Findings
Module 11. Scaling OWASP Across Global Teams
Deploy OWASP consistently across regions, languages, and time zones with minimal drift.
12 chapters in this module
- Centralized vs Local Ownership
- Training Global Teams on OWASP
- Translating Guidelines Accurately
- Time-Zone-Aware Review Cycles
- Regional Regulatory Overlays
- Standardizing Tools and Templates
- Measuring Global Compliance
- Addressing Cultural Differences
- Creating Regional Champions
- Managing Rollout Phases
- Feedback Loops from Field Teams
- Continuous Improvement Strategy
Module 12. Sustaining OWASP Leadership Over Time
Ensure your influence endures through leadership changes, reorgs, and evolving technology.
12 chapters in this module
- Documenting Institutional Knowledge
- Onboarding New Team Members
- Updating Playbooks for New Tech
- Tracking Emerging OWASP Updates
- Participating in OWASP Communities
- Contributing Back to Frameworks
- Measuring Program Maturity
- Reporting Security KPIs to Executives
- Budgeting for Security Initiatives
- Aligning with Long-Term Strategy
- Adapting to Regulatory Shifts
- Leaving a Lasting Security Legacy
How this maps to your situation
- When launching a new AI product
- During vendor selection cycles
- Before audit seasons
- When expanding into new regions
Before vs. after
Before
Reactive participation in security discussions with limited leverage in technical decisions
After
Proactive leadership in AI and data architecture reviews, with recognized authority on OWASP standards
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 completion over 4-6 weeks with on-demand access.
If nothing changes
Without structured OWASP mastery, influence in cross-functional security decisions may default to others, and opportunities to shape secure AI adoption at scale may be missed.
How this compares to the alternatives
Unlike generic cybersecurity courses, this program is tailored for senior data and AI leaders who need to exert influence in technical governance, not just understand theory, but lead decisions.
Frequently asked
Who is this course for?
Senior data, finance, and AI leaders in global enterprises who influence technical architecture, vendor selection, and security governance.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is prior security experience required?
No, but experience in data governance, analytics, or AI leadership is expected to fully benefit from the content.
$199 one-time. Approximately 3 hours per module, designed for completion over 4-6 weeks with on-demand access..
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