Certified Offensive AI Security Professional
Certified Offensive AI Security Professional
LLMs are vulnerable. Prompt injection bypasses guardrails. Data poisoning corrupts models. This credential enables you to red-team AI systems, exploit vulnerabilities in LLMs and agents, and build defenses that survive real-world attacks.
- Red-team LLMs: prompt injection, jailbreaking, guardrail bypass
- Exploit AI agents: tool manipulation, memory poisoning, chain attacks
- Master OWASP LLM Top 10 & MITRE ATLAS attack frameworks
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About the Certified Offensive AI Security Professional Course
Course Outline
- Offensive AI and AI System Hacking Methodology
- AI Reconnaissance and Attack Surface Mapping
- AI Vulnerability Scanning and Fuzzing
- Prompt Injection and LLM Application Attacks
- Adversarial Machine Learning and Model Privacy Attacks
- Data and Training Pipeline Attacks
- Agentic AI and Model-to-Model Attacks
- AI Infrastructure and Supply Chain Attacks
- AI Security Testing, Evaluation, and Hardening
- AI Incident Response and Forensics
Hands-On AI Offensive Security Techniques
Master the offensive techniques that break AI systems before attackers do. From prompt injection to model extraction, learn to think like an adversary and defend like an engineer.
- API Reconnaissance
- AI Reconnaissance via Model Fingerprinting
- Transfer, Boundary & Noise Attacks
- Telemetry Analysis to Map AI Decision Boundaries
- Multi-Protocol Reconnaissance
- FGSM & PGD Attacks on Image Classifiers
- RAG Poisoning Attacks
- API Reconnaissance & Model Extraction
- Cross-LLM Attacks
- PGD Attacks on Audio Models
Offensive AI Security Methodology
From reconnaissance to exploitation, testing to hardening, there is a systematic approach to securing AI systems against adversarial threats.
This framework equips you to think like an attacker and defend like an expert.
RECON Map AI system architectures, enumerate exposed endpoints, and build threat models. Profile training pipelines, data flows, and inference APIs to identify where defenses are weakest.
EXPLOIT Execute prompt injection, jailbreaking, data poisoning, and model extraction attacks to validate AI system weaknesses and document exploitable gaps.
DEFEND Implement guardrails, detection mechanisms, and incident response procedures to harden AI systems and ensure resilient, secure deployments.
Ideal for:
COASP is designed for security professionals who want to master offensive and defensive AI security techniques.
- Penetration Tester/Ethical Hacker
- Red Team Operator/Red Team Lead
- Offensive Security Engineer
- Adversary Emulation/Purple Team Specialist
- SOC Analyst (Tier 2/3)/Detection Engineer
- Blue Team Engineer/Threat Detection Engineer
- Incident Responder (IR)/DFIR Analyst
- Security Operations Manager (SOC Lead)
- Malware Analyst/Threat Researcher
- Cyber Threat Intelligence (CTI) Analyst – AI Focus
- Fraud/Abuse Detection Analyst (AI-enabled threats)
- ML Engineer/Applied AI Engineer
- GenAI Engineer (RAG/Agents)
- AI/LLM Application Developer
- MLOps/AI Platform Engineer
- DevSecOps/Secure DevOps Specialist
- Application Security Engineer (LLM Apps/APIs)
- Product Security Engineer/AI Product Security
- Secure AI Engineer/AI Security Architect
- LLM Systems Engineer
Frequently Asked Questions
What is the Certified Offensive AI Security Professional (COASP) certification?
COASP is EC-Council’s offensive AI security program designed for cybersecurity professionals who must think like attackers and defend AI like engineers. It trains you to red-team LLMs, exploit AI systems, and defend enterprise AI before attackers do.
Who should take the COASP certification?
C|OASP is ideal for red-team and blue-team professionals, SOC analysts, penetration testers, AI/ML engineers, DevSecOps specialists, and compliance managers responsible for AI safety in regulated industries like finance, healthcare, and defense.
What this program covers?
This program covers prompt injection attacks, model extraction and theft, training data poisoning, agent hijacking, LLM jailbreaking, and defensive engineering techniques. The curriculum is aligned with industry frameworks, including OWASP LLM Top 10, NIST AI RMF, and ISO 42001.
Do I need prior cybersecurity experience?
Yes, this program requires foundational cybersecurity knowledge. This is not a beginner course, it’s hands-on offensive security training for professionals who already understand security fundamentals.
What's included in the certification?
The program includes 10 comprehensive modules, hands-on adversarial labs with real AI systems, DCWF-aligned learning paths, certification exam, lifetime access to materials, and access to the AI security community.