A tailored course, built for your situation
Mastering OWASP for AI/ML Engineers Working with LLMs and Agentic Systems
Build secure, enterprise-grade AI systems with confidence and authority
$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 that stall AI deployment and fragment team alignment
The situation this course is for
AI/ML engineers build powerful systems, but without built-in security guardrails, their work faces repeated security pushback, rework, and delayed production sign-off. The cost isn't just time, it's diminished influence across engineering and compliance stakeholders.
Who this is for
AI/ML Engineer working at a regulated semiconductor or industrial tech firm, building LLM-powered or agentic systems requiring compliance alignment
Who this is not for
Engineers focused solely on research prototypes with no production roadmap, or those without cross-functional stakeholder exposure
What you walk away with
- Design AI systems with OWASP security patterns embedded from day one
- Reduce security rework cycles by aligning early with compliance and platform teams
- Produce audit-ready documentation directly from system architecture decisions
- Lead cross-functional security reviews with structured implementation evidence
- Position yourself as the go-to engineer for secure agentic AI deployments
The 12 modules (with all 144 chapters)
Module 1. Foundations of OWASP in AI/ML Systems
Understand how OWASP principles apply specifically to LLMs, agentic workflows, and vision-language models in production environments.
12 chapters in this module
- Introduction to OWASP for AI Systems
- Mapping OWASP Top 10 to LLM Attack Vectors
- Security by Design in Model Architecture
- Threat Modeling for Agentic AI
- Data Flow Integrity in Multi-Modal Systems
- Authentication Patterns for AI Agents
- Input Validation in Natural Language Interfaces
- Model Inversion and Extraction Risks
- Role-Based Access in AI Orchestration
- Secure Prompt Handling Techniques
- Audit Logging for AI Decision Paths
- Compliance Alignment with Early Design
Module 2. OWASP Alignment with Knowledge Graphs
Secure knowledge-intensive AI systems by protecting graph integrity, relationship inference, and entity resolution layers.
12 chapters in this module
- Graph Database Security Fundamentals
- Preventing Knowledge Leakage in Queries
- Entity Resolution Attack Vectors
- Schema-Level Access Controls
- Predicate Inference Protections
- Secure Embedding Indexing
- Query Injection Defenses
- Contextual Access in Graph Traversals
- Provenance Tracking for Facts
- Integrity Verification of Inferences
- Audit Trails for Graph Edits
- Compliance Mapping for Graph Outputs
Module 3. Securing LLM Interactions
Implement OWASP-backed controls for prompt handling, context management, and output filtering in production LLM deployments.
12 chapters in this module
- Prompt Injection Attack Patterns
- Contextual Isolation Between Sessions
- Output Filtering for Policy Compliance
- System Prompt Protection Methods
- User Role Propagation in Chaining
- Token-Level Access Controls
- Guardrail Integration Frameworks
- Real-Time Toxicity Detection
- PII Redaction in Streaming Output
- Model Confidence and Uncertainty Logging
- Rate Limiting for Agent Flows
- Secure Template Repositories
Module 4. Agentic System Security
Apply OWASP principles to multi-agent coordination, tool use, and autonomous decision paths.
12 chapters in this module
- Agent Identity and Authentication
- Tool Call Authorization Frameworks
- Chain-of-Thought Integrity
- Memory Management Security
- Autonomous Goal Validation
- Environment Interaction Controls
- Agent-to-Agent Encryption
- Secure Planning Logic
- Task Decomposition Safeguards
- Fallback Mechanism Security
- Human-in-the-Loop Verification
- End-to-End Audit Trails
Module 5. Vision-Language Model Protections
Secure multimodal inputs and outputs against adversarial manipulation and data leakage.
12 chapters in this module
- Image Input Sanitization
- Adversarial Patch Detection
- Cross-Modal Prompt Leakage
- Metadata Exposure Risks
- Visual Question Answering Filters
- Object Recognition Bias Controls
- Scene Interpretation Integrity
- Video Stream Security
- Multimodal Output Coherency
- Context-Aware Redaction
- Model Confidence Calibration
- Audit Logging for Visual Decisions
Module 6. Secure DevOps for AI Systems
Integrate OWASP checks into MLOps pipelines and deployment workflows.
12 chapters in this module
- CI/CD Security Gates
- Model Signing and Verification
- Artifact Provenance Tracking
- Pipeline Access Controls
- Secrets Management in AI Workflows
- Container Hardening for Inference
- Model Drift and Anomaly Detection
- Version Control for Prompt Libraries
- Automated OWASP Compliance Scans
- Rollback Security for AI Deployments
- Immutable Audit Logs
- Zero-Trust Model Serving
Module 7. Cross-Functional Security Alignment
Lead security discussions with product, compliance, and infrastructure teams using shared OWASP frameworks.
12 chapters in this module
- Translating OWASP for Non-Technical Stakeholders
- Security Review Meeting Preparation
- Evidence-Based Compliance Responses
- Incident Response Readiness
- Cross-Team Threat Modeling
- Regulatory Mapping for AI Controls
- Vendor Security Questionnaires
- Third-Party Audit Support
- Security Training for Product Teams
- Executive-Level Risk Narratives
- Security KPI Reporting
- Post-Incident Architecture Review
Module 8. Secure Model Deployment Patterns
Implement OWASP-compliant deployment architectures for on-premise and hybrid environments.
12 chapters in this module
- On-Premise Model Serving Security
- Air-Gapped Inference Protections
- Federated Learning Security
- Edge Device Hardening
- Model Encryption at Rest
- Secure Inference APIs
- Network Segmentation for AI
- Hardware-Based Trust Anchors
- Zero-Day Patching Strategies
- Physical Access Controls
- Remote Wipe and Disable
- Supply Chain Integrity Checks
Module 9. Data Protection and Privacy
Embed data privacy controls aligned with OWASP and regional expectations like DPDPA the current cycle.
12 chapters in this module
- Data Minimization in Training Sets
- PII Detection and Masking
- Consent Management Integration
- Data Retention Policies
- Cross-Border Data Flow Controls
- Anonymization Techniques
- Differential Privacy Implementation
- Audit Rights for Data Subjects
- Vendor Data Processing Agreements
- Right to Be Forgotten Workflows
- Data Subject Access Request Handling
- Privacy Impact Assessment Integration
Module 10. Incident Response for AI Systems
Develop OWASP-aligned response plans for AI-specific security events.
12 chapters in this module
- AI-Specific Threat Detection
- Model Poisoning Response
- Prompt Injection Incident Handling
- Data Exfiltration Scenarios
- Model Theft Countermeasures
- Adversarial Example Mitigation
- Reputation Damage Control
- Legal and Regulatory Notification
- Public Statement Templates
- Post-Incident Architecture Review
- Lessons Learned Documentation
- Security Posture Improvement
Module 11. Governance and Compliance Reporting
Produce audit-ready documentation and compliance evidence using OWASP frameworks.
12 chapters in this module
- Compliance Gap Analysis
- Control Mapping to OWASP
- Evidence Collection Automation
- Internal Audit Preparation
- Regulatory Submission Readiness
- Third-Party Assessment Support
- Compliance Dashboard Design
- Policy Exception Management
- Risk Register Integration
- Control Effectiveness Measurement
- Audit Trail Completeness
- Compliance Reporting Templates
Module 12. Scaling Secure AI Practices
Institutionalize OWASP adoption across teams and future projects.
12 chapters in this module
- Security Champion Networks
- Internal Training Programs
- Security Playbook Development
- Cross-Team Knowledge Sharing
- Lessons Learned Integration
- Security Metrics Standardization
- Architecture Review Board Integration
- Tooling Standardization
- Security Debt Tracking
- Maturity Model Adoption
- Continuous Improvement Cycles
- Executive Communication Strategy
How this maps to your situation
- Designing LLM-powered systems requiring security sign-off
- Leading agentic AI development across teams
- Responding to compliance and audit requests
- Scaling secure AI practices across the organization
Before vs. after
Before
Security reviews slow deployment, compliance asks cause rework, and cross-team alignment feels reactive.
After
Your systems are built with security by design, documentation flows from architecture, and teams align early.
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 45 minutes per module, designed for integration with active project work.
If nothing changes
Without structured security integration, AI projects face repeated delays, compliance friction, and diminished engineering influence.
How this compares to the alternatives
Unlike generic security awareness courses, this program delivers AI/ML-specific OWASP implementation patterns with concrete examples for LLMs, agentic systems, and multimodal models, directly applicable to your current role.
Frequently asked
Is this course focused on web app security or AI systems?
It's specifically tailored to AI/ML systems, applying OWASP principles to LLMs, agentic workflows, and vision-language models.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with internal compliance reviews?
Yes, you'll learn to generate audit-ready documentation and lead cross-functional security alignment.
$199 one-time. Approximately 45 minutes per module, designed for integration with active project work..
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