Certified Offensive AI Security Professional (C|OASP)

Certified Offensive AI Security Professional (C|OASP) develops practical capability in authorized offensive AI security assessment, AI-system threat modeling, prompt and agent risks, data and model attacks, supply-chain exposure, monitoring, reporting, and defensive validation.

Learners progress through AI Architecture, Threat Modeling, Authorization, Safety, and Assessment Planning; Prompt Injection, Agent Abuse, Data Exposure, Guardrails, and Output Validation; Data Poisoning, Model Extraction, Evasion, Supply Chain, and Monitoring; and Risk Evidence, Defensive Controls, Reporting, Retesting, Governance, and Lessons. Each stage connects EC-Council concepts with implementation decisions, operational controls, troubleshooting, and reviewable evidence.

The learning journey follows an authorized AI red team evaluating model and application weaknesses safely, preserving evidence, and strengthening defensive controls and produces a practical AI red-team charter, attack-scenario evidence, defensive-control assessment, and retest report for implementation and operational use.

What You Will Learn

• Map C-OASP AI system architecture for C-OASP; relate model threat modeling and written authorization to C-OASP foundation-stage safety boundaries decisions.
• Validate C-OASP safety boundaries; connect assessment planning and AI system architecture through C-OASP foundation-stage corrective controls.
• Assess C-OASP prompt-injection risk for C-OASP; relate agent permissions and data exposure to C-OASP control-stage AI guardrails decisions.
• Implement C-OASP AI guardrails; connect output validation and prompt-injection risk through C-OASP control-stage corrective controls.
• Interpret C-OASP data-poisoning risk for C-OASP; relate model-extraction risk and adversarial evasion to C-OASP analysis-stage AI supply chain decisions.
• Verify C-OASP AI supply chain; connect security monitoring and data-poisoning risk through C-OASP analysis-stage corrective controls.
• Design C-OASP risk evidence for C-OASP; relate defensive mitigations and assessment reporting to C-OASP handover-stage security retesting decisions.
• Document C-OASP security retesting; connect AI governance and risk evidence through C-OASP handover-stage corrective controls.

SkillDynamo Training Approach

Training combines course-specific demonstrations, hands-on EC-Council exercises, scenario analysis, validation checklists, structured troubleshooting, and a final improvement plan for Certified Offensive AI Security Professional (C|OASP).