Certified Offensive AI Security Professional

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EC-Council was founded by Jay Bavisi after the 9/11 attacks, driven by the concern of a potential cyber battlefield attack. At the time, the cybersecurity community lacked the necessary tools to prevent such threats. Incorporated as the International Council of E-Commerce Consultants, EC-Council aimed to develop information security training and certification programs. It quickly gained global support, launching its first major program, the Certified Ethical Hacker. Since then, EC-Council has continued expanding its certifications and training in cybersecurity and e-commerce security.

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Master Offensive AI Security. Emulate. Exploit. Defend.

Master offensive and defensive AI security with hands-on skills in AI red teaming, LLM attacks, adversarial machine learning, AI security testing, incident response, and hardening.

Certified Offensive AI Security Professional (C|OASP) is an advanced EC-Council certification program designed for cybersecurity professionals who want to master offensive and defensive AI security.

The program trains professionals to think like attackers and defend like engineers by testing AI systems from input to output, identifying hidden weaknesses, exploiting adversarial vulnerabilities, and designing effective countermeasures to keep AI deployments secure, reliable, and compliant.

C|OASP covers AI reconnaissance, attack surface mapping, AI vulnerability scanning and fuzzing, prompt injection, LLM application attacks, adversarial machine learning, model privacy attacks, data and training pipeline attacks, agentic AI attacks, AI infrastructure and supply-chain threats, AI security testing and hardening, and AI incident response and forensics.

The program combines offensive security, defensive engineering, AI red teaming, threat assessment, and practical hands-on exercises to prepare professionals for emerging AI security roles.

For Whom

  • Penetration Testers / Ethical Hackers
  • Red Team Operators / Red Team Leads
  • Offensive Security Engineers
  • Adversary Emulation / Purple Team Specialists
  • SOC Analysts – Tier 2 / Tier 3
  • Detection Engineers
  • Blue Team Engineers
  • Incident Responders / DFIR Analysts
  • Security Operations Managers / SOC Leads
  • Malware Analysts / Threat Researchers
  • Cyber Threat Intelligence Analysts
  • ML Engineers /
  • Applied AI Engineers
  • GenAI Engineers
  • AI / LLM Application Developers
  • MLOps / AI Platform Engineers
  • LLM Systems Engineers

Career Opportunities

  • AI Red Team Specialist
  • Adversarial AI Engineer
  • Offensive Security Engineer – AI/LLM Focus
  • Adversarial AI Security Analyst
  • Adversarial Machine Learning Researcher
  • AI Threat Hunter
  • AI Security Analyst
  • AI Malware & Exploit Analyst

Course Contents

Module 1 : Offensive AI and AI System Hacking Methodology

Module 2 : AI Reconnaissance and Attack Surface Mapping

Module 3 : AI Vulnerability Scanning and Fuzzing

Module 4 : Prompt Injection and LLM Application Attacks

Module 5 : Adversarial Machine Learning and Model Privacy Attacks

Module 6 : Data and Training Pipeline Attacks

Module 7 : Agentic AI and Model-to-Model Attacks

Module 8 : AI Infrastructure and Supply Chain Attacks

Module 9 : AI Security Testing, Evaluation, and Hardening

Module 10 : AI Incident Response and Forensics

Exam Code : 312-39

Duration : 3 hours

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