COASP – Certified Offensive AI Security Professional
COASP is an advanced, hands-on certification that trains security professionals to red-team AI systems by exploiting vulnerabilities in LLMs and agents, and building robust defenses against real-world attacks
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COASP – Certified Offensive AI Security Professional
The Certified Offensive AI Security Professional (C|OASP) program is designed to address novel AI attack vectors that traditional security tools cannot detect, such as prompt injection, model extraction, and data poisoning. It trains professionals to systematically identify, exploit, and remediate vulnerabilities across LLMs, agentic AI systems, and AI pipelines using industry frameworks like OWASP LLM Top 10 and MITRE ATLAS. The course culminates in a 6-hour exam to validate the practitioner's skills
Duration
40 Hours Industry Standards Training
Curriculum
Industry Linked Curriculum
Projects
Hands-on Industry & Capstone Projects
Certification
Industry Recognized Certification
Mentorship
1-on-1 Mentorship from Industry Experts
Core Learning Areas
LLM and Agentic AI Architectures
AI Attack Surfaces and Threat Modeling
Prompt Injection and Context Exploitation
Model Extraction and Privacy Attacks
Data and Training Pipeline Attacks (RAG Poisoning)
Adversarial Machine Learning (FGSM, PGD)
Agent Hijacking and Tool Manipulation
AI Security Frameworks (MITRE ATLAS, OWASP, NIST)
AI Security Testing and Hardening
The COASP certification from EC-Council is the first credential built specifically for AI red teamers. The program focuses on teaching a repeatable offensive AI security methodology based on three core phases: Recon, Exploit, and Defend. It offers a comprehensive curriculum that covers everything from foundational AI system architecture to advanced adversarial machine learning and supply chain attacks.
Course includes over 20 hands-on offensive AI techniques, more than 30 lab exercises, and is aligned with major industry frameworks including the MITRE ATLAS framework, OWASP LLM Top 10 (2025), OWASP ML Security Top 10 (2025), and the NIST AI Risk Management Framework
Focus Areas
Red Teaming LLMs and AI Systems
Offensive AI Security Methodology (Recon, Exploit, Defend)
AI Attack Surface Mapping
Adversarial Machine Learning
AI Security Frameworks (MITRE ATLAS, OWASP)
AI Incident Response and Hardening
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Salary Comparison by Country
Monitor security systems, analyze threats, conduct vulnerability assessments, and implement security controls to protect organizational assets
India
₹ 1x multiplier
₹5L
₹10L
₹18L
UK
£ 3.8x multiplier
£19L
£38L
£68L
USA
$ 4.2x multiplier
$21L
$42L
$76L
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