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GEN7193 Mastering OWASP for Tech Lead Managers in AI

$199.00
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A tailored course, built for your situation

Mastering OWASP for Tech Lead Managers in AI

Turn security rigor into strategic influence without expanding headcount

$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.
Security reviews slowing down sprint velocity

The situation this course is for

Teams scramble to retrofit OWASP compliance late in the cycle. Audits reveal gaps not from negligence, but from misaligned timing and unclear ownership between security and engineering. The cost isn't fines, it's deferred launches and eroded trust.

Who this is for

Tech Lead Manager in AI/ML organizations, balancing delivery velocity with security and compliance expectations. Typically reports into AI Platform or Infrastructure leadership. Regularly involved in tool selection, incident post-mortems, and cross-team integration planning.

Who this is not for

Individual contributors not involved in cross-team decisions, consultants without internal delivery context, or compliance auditors without engineering oversight

What you walk away with

  • Frame OWASP controls as enablers of speed, not constraints
  • Structure reusable position papers for security-adjacent architecture reviews
  • Anticipate vendor selection criteria before SIGs land on your desk
  • Document decision rationales that stand up to peer challenge
  • Gain repeat invitations to strategic planning forums

The 12 modules (with all 144 chapters)

Module 1. Why OWASP Now Shapes AI System Boundaries
AI systems expand the attack surface beyond traditional web assets. OWASP API Security Top 10 and ASVS now inform threat modeling for inference endpoints, data pipelines, and fine-tuning workflows. This module maps OWASP's evolution to current Meta-scale system design patterns.
12 chapters in this module
  1. How AI model endpoints differ from standard web APIs
  2. Tracing OWASP ASVS controls to model inference paths
  3. When third-party AI frameworks introduce OWASP risk
  4. Mapping MITRE ATLAS to OWASP threat categories
  5. Security review gates in model deployment pipelines
  6. OWASP ZAP usage patterns in CI/CD for AI services
  7. Logging and monitoring expectations for AI APIs
  8. Data leakage risks at model output layers
  9. Authentication patterns for internal model access
  10. Rate limiting design for AI inference endpoints
  11. OWASP role in red team engagements on AI systems
  12. Post-incident review alignment with OWASP standards
Module 2. Translating OWASP Controls into Team-Level Standards
Controls only stick when adapted to team workflow. This module shows how to convert OWASP ASVS or Top 10 items into checklists, templates, and peer-review expectations that engineers adopt without friction.
12 chapters in this module
  1. Turning OWASP ASVS level 1 into onboarding docs
  2. Mapping Top 10 risks to sprint planning templates
  3. Creating OWASP-aligned code review rubrics
  4. Integrating ASVS into design document templates
  5. Automating OWASP compliance checks in pre-merge
  6. OWASP control ownership at the feature team level
  7. Security champions and OWASP knowledge diffusion
  8. Versioning OWASP standards across teams
  9. Updating standards after internal incident findings
  10. Metrics that track OWASP control adoption
  11. Linking OWASP compliance to team OKRs
  12. Avoiding over-compliance in low-risk services
Module 3. OWASP in Vendor Selection and Toolchain Evaluation
Security influence starts before procurement. This module prepares you to assess third-party AI tools, APIs, and platforms against OWASP principles , even when full audits aren't feasible.
12 chapters in this module
  1. Using OWASP ASVS to structure vendor requests
  2. SIG questions that reveal OWASP gaps
  3. Contractual language for OWASP compliance
  4. Assessing open-source AI tools through OWASP lens
  5. Benchmarking MLOps platforms on security depth
  6. OWASP compliance in model hosting providers
  7. Evaluating security documentation from vendors
  8. Incident response expectations in vendor SLAs
  9. Right-to-audit clauses for OWASP verification
  10. Penetration testing requirements for API vendors
  11. Security patching timelines in vendor contracts
  12. Post-breach cooperation expectations
Module 4. Influencing Architecture Without Ownership
You don't need formal authority to shape decisions. This module teaches how to position OWASP insights as strategic accelerators in design reviews, trade-off discussions, and infrastructure planning.
12 chapters in this module
  1. Positioning OWASP early in RFC processes
  2. Framing security as cost of delay, not cost of control
  3. Preparing for architecture review boards
  4. OWASP arguments that win in high-velocity teams
  5. Using incident data to strengthen OWASP positions
  6. Aligning OWASP with reliability and uptime goals
  7. Creating reusable slide templates for OWASP review
  8. Presenting OWASP trade-offs to non-security leaders
  9. Building coalitions around security standards
  10. Timing OWASP input for maximum adoption
  11. Avoiding 'security police' perception
  12. Owning influence, not approval
Module 5. OWASP and Machine Learning Pipeline Security
ML pipelines introduce unique risks at data intake, model training, and serving. This module maps OWASP principles to each stage, focusing on attacker leverage points and mitigation design.
12 chapters in this module
  1. OWASP threats in public dataset usage
  2. Model poisoning risks in fine-tuning workflows
  3. Authentication for access to training data
  4. Encryption standards for model checkpoint storage
  5. OWASP considerations in hyperparameter tuning
  6. Input validation for model training pipelines
  7. Monitoring for data leakage in ETL stages
  8. Access controls for model artifact repositories
  9. OWASP patterns for distributed training clusters
  10. Secure handling of sensitive labels in training
  11. Model inversion attack mitigation strategies
  12. Securing intermediate data outputs in pipelines
Module 6. OWASP in Real-Time Model Serving Environments
Low-latency serving introduces trade-offs between security and performance. This module covers how to embed OWASP controls without introducing unacceptable overhead.
12 chapters in this module
  1. OWASP API security in low-latency endpoints
  2. Rate limiting without breaking user flows
  3. Authentication overhead in model inference paths
  4. Securing model ensembles across services
  5. OWASP considerations for canary deployments
  6. Model rollback security procedures
  7. Input sanitization at inference time
  8. Output filtering for harmful content
  9. Caching strategies and OWASP risk
  10. Monitoring for adversarial queries
  11. Logging requirements for model serving
  12. Incident detection in real-time environments
Module 7. Building OWASP-Ready Incident Response Playbooks
When breaches occur, your team's response reflects your OWASP preparedness. This module shows how to structure playbooks that align with OWASP guidance and reduce mean time to recovery.
12 chapters in this module
  1. Mapping OWASP risks to incident scenarios
  2. Playbook structure for OWASP-aligned response
  3. Role definitions for security incidents
  4. Communication templates for internal stakeholders
  5. Forensic data collection aligned with OWASP
  6. Post-mortem tracking of OWASP control gaps
  7. Updating playbooks after OWASP revisions
  8. Cross-team coordination in incident response
  9. Simulating OWASP-related breach scenarios
  10. Integrating external security firms into playbooks
  11. Legal and compliance considerations in breaches
  12. Public disclosure alignment with OWASP
Module 8. OWASP Knowledge Transfer Across Engineering Teams
Standards erode without continuous education. This module covers practical methods for transferring OWASP knowledge across teams, especially as new members join and projects evolve.
12 chapters in this module
  1. Onboarding engineers on OWASP basics
  2. Creating team-specific OWASP summaries
  3. Security office hours using OWASP framework
  4. Workshops for OWASP control implementation
  5. Internal blogging for OWASP best practices
  6. Mentoring junior leads on security review
  7. Documenting institutional OWASP knowledge
  8. Updating training after new OWASP releases
  9. Using past incidents as OWASP teaching tools
  10. Peer review as OWASP knowledge reinforcement
  11. Tracking team-level OWASP proficiency
  12. Gamifying OWASP adoption across teams
Module 9. OWASP Metrics That Matter to Leadership
Security data only influences when it's presented right. This module teaches how to build OWASP-aligned metrics that resonate with executive priorities like velocity, risk reduction, and innovation.
12 chapters in this module
  1. OWASP compliance as percentage of services
  2. Tracking time to remediate OWASP findings
  3. Mean time between OWASP-related incidents
  4. Correlating OWASP adherence with uptime
  5. Cost of delay from OWASP retrofits
  6. Security debt tracking by OWASP category
  7. Benchmarking OWASP compliance over time
  8. Visualizing OWASP progress for leadership
  9. OWASP risk exposure in new project intake
  10. Predictive metrics for OWASP gaps
  11. Linking OWASP compliance to incident reduction
  12. Creating dashboards for OWASP oversight
Module 10. OWASP and Regulatory Interface Points
While OWASP isn't a regulation, its principles increasingly inform compliance frameworks. This module shows how OWASP work satisfies broader requirements in audits, certifications, and internal risk reviews.
12 chapters in this module
  1. OWASP alignment with SOC 2 controls
  2. Using OWASP for ISO 27001 compliance
  3. OWASP in privacy impact assessments
  4. Mapping OWASP to GDPR technical requirements
  5. NIST CSF mapping to OWASP practices
  6. OWASP in internal audit findings
  7. Security certifications and OWASP evidence
  8. Documentation needed for external reviews
  9. OWASP in data protection officer reporting
  10. Handling regulator inquiries about OWASP
  11. Third-party audit expectations for OWASP
  12. OWASP in enterprise risk management
Module 11. Future-Proofing OWASP for Emerging AI Threats
New AI capabilities introduce novel attack vectors. This module prepares you to extend OWASP principles to prompt injection, model stealing, and adversarial learning scenarios.
12 chapters in this module
  1. Prompt injection as OWASP Top 10 risk
  2. Securing AI agents using OWASP principles
  3. Model extraction attack mitigation
  4. OWASP considerations in autonomous AI
  5. Adversarial training and model robustness
  6. Input filtering for LLM-based systems
  7. Output validation for generative AI models
  8. OWASP in multi-agent AI environments
  9. Authentication for AI-to-AI communication
  10. Monitoring for AI model degradation
  11. OWASP principles in AI safety research
  12. Future OWASP extensions for AI security
Module 12. Sustaining OWASP Influence Across Leadership Cycles
Security influence must survive leadership changes. This module shows how to document and institutionalize your OWASP contributions so they endure beyond individual tenure.
12 chapters in this module
  1. Documenting OWASP decision rationales
  2. Creating institutional memory for security standards
  3. Archiving security review outcomes
  4. Building reference architectures with OWASP
  5. Handing off OWASP leadership to successors
  6. Preserving security policies across reorgs
  7. Updating OWASP guidance as tech evolves
  8. Measuring lasting impact of OWASP work
  9. OWASP in technical leadership onboarding
  10. Success metrics for security influence
  11. Balancing consistency with innovation
  12. Knowing when to sunset OWASP controls

How this maps to your situation

  • Early-stage OWASP integration in AI system design
  • Mid-cycle OWASP alignment in deployment pipelines
  • Post-incident OWASP refinement and documentation
  • Long-term OWASP institutionalization across teams

Before vs. after

Before
Security input arrives late, treated as overhead, and creates friction in delivery timelines.
After
Security framing is embedded early, accelerates consensus, and becomes a trusted input to architecture planning.

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: 90 minutes per week for 12 weeks, or complete in one intensive weekend.

If nothing changes
Without structured OWASP influence, security remains reactive. Teams retrofit controls late, increasing incident risk and eroding trust in engineering leadership.

How this compares to the alternatives

Generic security courses teach compliance checklists. This course teaches how to wield OWASP as a lever for influence in high-velocity AI organizations , without slowing innovation.

Frequently asked

Is this course about passing an OWASP certification?
No. This course is about applying OWASP principles to increase your influence in technical decision-making, particularly in AI and machine learning environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover regulatory compliance?
It shows how OWASP practices support compliance frameworks like SOC 2, ISO 27001, and NIST CSF , but the focus is on practical influence, not audit preparation.
$199 one-time. 90 minutes per week for 12 weeks, or complete in one intensive weekend..

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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