A tailored course, built for your situation
Mastering OWASP for Senior Security Practice Leads
Turn proactive risk identification into strategic influence within your current scope
The situation this course is for
High-severity findings late in the cycle force rework, delay go-live dates, and erode engineering trust. Ad-hoc checklists fail to scale with cloud-native velocity.
Who this is for
Senior technical leader guiding application security posture across distributed teams, accountable for risk coverage but lacking formal authority over delivery timelines
Who this is not for
Junior developers, penetration testers, compliance auditors, or full-time policy writers
What you walk away with
- Shape secure architecture before code is written, not after
- Align OWASP benchmarks with sprint-level planning cycles
- Document consistent risk narratives that earn peer sign-off
- Integrate threat modeling outputs directly into CI/CD pipelines
- Reduce rework from security findings by 70%+
The 12 modules (with all 144 chapters)
- Mapping injection risks to multi-tenant API gateways
- Validating broken authentication in serverless runtimes
- Assessing sensitive data exposure in distributed caches
- Detecting XML external entity risks in legacy integrations
- Evaluating broken access control in microservice meshes
- Identifying security misconfigurations in IaC templates
- Tracking cryptographic failures in transit and at rest
- Preventing insecure deserialization in event queues
- Mitigating components with known vulnerabilities in npm pipelines
- Avoiding insufficient logging and monitoring in container hosts
- Linking SSRF risks to internal service discovery mechanisms
- Adapting OWASP classifications for low-code platforms
- Scoping threat models per feature epic, not per system
- Using data flow diagrams that engineers can maintain
- Introducing STRIDE analysis in PR reviews
- Automating DFD validation with pipeline hooks
- Prioritizing findings using business impact tiers
- Embedding mitigations in user story definitions
- Generating lightweight output for audit traceability
- Revisiting models after major refactors, not annually
- Training dev leads to run mini-sessions independently
- Integrating findings into bug tracking severity tiers
- Linking remediation deadlines to release gates
- Tracking model completeness across service portfolios
- Defining baseline rules for JavaScript services
- Enforcing input validation at API gateway layers
- Setting linting thresholds for Python backends
- Managing secrets in Go binaries and containers
- Configuring Java security managers in app servers
- Validating Ruby on Rails parameter handling
- Hardening .NET serialization practices
- Securing Rust memory safety patterns
- Building ESLint plugins for React components
- Creating pre-commit hooks for Terraform
- Integrating security rules into developer onboarding
- Updating standards with new framework versions
- Adding SAST scanning to pull request validation
- Running DAST tests in staging environments
- Integrating dependency scanning into package managers
- Configuring IaC security checks in CI jobs
- Setting pass-fail criteria for build gates
- Routing findings to ticketing systems automatically
- Reducing false positives through baseline tuning
- Alerting on critical vulnerabilities in real time
- Scheduling periodic deep scans outside PR flow
- Tracking scan coverage across repositories
- Managing credentials for scanning tools securely
- Auditing pipeline security configurations
- Weighting likelihood based on exploit availability
- Adjusting impact for PII and financial data
- Factoring in uptime requirements for SLA tiers
- Accounting for third-party integration surface area
- Scoring based on customer trust implications
- Incorporating brand risk into severity models
- Using deployment environment in scoring logic
- Applying organizational risk appetite bands
- Documenting rationale for risk exceptions
- Presenting risk rankings to non-security leads
- Updating scores after control implementation
- Automating risk heat map visualizations
- Identifying natural advocates in engineering teams
- Defining clear responsibilities and boundaries
- Creating lightweight training on common risks
- Providing tool access and escalation paths
- Running monthly syncs with security leads
- Sharing wins and lessons across squads
- Recognizing contributions in performance cycles
- Tracking champion-driven remediation rates
- Maintaining updated playbooks for new risks
- Measuring program adoption by team coverage
- Integrating champion feedback into tooling
- Rotating roles to avoid burnout
- Classifying incoming reports by source type
- Validating reported issues efficiently
- Assigning ownership based on service ownership
- Setting SLAs for initial triage responses
- Coordinating fixes across time zones
- Documenting resolution decisions transparently
- Reporting status to executive stakeholders
- Preparing public disclosure statements
- Maintaining legal and PR alignment
- Tracking time to resolution trends
- Improving detection accuracy over time
- Reducing duplicate report volume
- Enforcing OAuth2 best practices in service-to-service calls
- Validating scope definitions against least privilege
- Rate limiting to prevent abuse and DoS
- Securing GraphQL endpoints against query overload
- Managing API key lifecycle securely
- Instrumenting audit trails for API access
- Protecting against BOLA and BFLA attacks
- Validating input structure at edge gateways
- Documenting security requirements in OpenAPI specs
- Automatically detecting schema changes
- Deprecating old versions with clear timelines
- Monitoring for anomalous usage patterns
- Securing container image build pipelines
- Enforcing minimal base images in CI
- Scanning for vulnerabilities in layered images
- Setting non-root user policies in Kubernetes
- Limiting container capabilities at runtime
- Applying network policies to pod communications
- Managing service account permissions tightly
- Auditing config drift in managed services
- Monitoring serverless function triggers
- Protecting event-driven data flows
- Validating container registry access controls
- Detecting rogue containers in clusters
- Automating access reviews for service accounts
- Collecting architecture diagrams on change
- Validating compliance with secure baselines
- Routing artifacts to reviewers by expertise
- Tracking review completion across teams
- Sending reminders before deadlines
- Aggregating findings into executive dashboards
- Integrating with GRC platforms
- Generating evidence packs for auditors
- Archiving completed reviews securely
- Measuring review cycle times
- Identifying recurring delays in workflow
- Defining clear roles during incidents
- Establishing communication channels securely
- Creating runbooks for common attack types
- Isolating compromised services quickly
- Preserving forensic data without disrupting service
- Engaging legal and PR teams appropriately
- Coordinating with external vendors
- Running tabletop simulations quarterly
- Documenting post-incident learnings
- Updating defenses based on findings
- Reducing mean time to containment
- Sharing anonymized lessons across teams
- Tracking reduction in high-severity findings
- Measuring time to fix from discovery
- Calculating developer satisfaction with tooling
- Assessing test coverage for security controls
- Reporting mean time to detect and respond
- Benchmarking against peer organizations
- Showing risk reduction over time
- Demonstrating cost avoidance from early fixes
- Evaluating champion program effectiveness
- Presenting metrics to non-technical leaders
- Aligning KPIs with business objectives
- Updating dashboards automatically
How this maps to your situation
- Expanding influence in pre-development design reviews
- Reducing friction between security and engineering
- Earning consistent inclusion in architecture councils
- Shaping risk tolerance decisions across product lines
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 90 minutes per module, self-paced over 12 weeks or accelerated in one week depending on preference.
How this compares to the alternatives
Unlike generic OWASP training, this course focuses on the specific challenges senior practice leads face when influencing distributed engineering teams without direct authority.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.