Train for the Front Lines of AI Security

Master the offensive security skills needed to identify, exploit, and defend vulnerabilities in LLMs, AI agents, and modern AI systems before attackers do.


Certified Offensive AI Security Professional (C|OASP) is EC-Council’s practitioner-level certification for professionals responsible for testing and securing AI systems in adversarial environments. This course is built for offensive security work, validating your ability to red-team AI systems, exploit vulnerabilities in LLMs and agents, and build defenses that hold up against real-world attacks.

C|OASP is not about building AI models or leading AI programs. It is about learning to think like an attacker inside AI systems—mapping attack surfaces, uncovering weaknesses across models and pipelines, validating security controls, and reducing operational risk before deployment. For security professionals working at the intersection of AI and cyber, this course provides a structured path into one of the most urgent emerging disciplines in security.

Looking for a more interactive experience? Instructor-led and group training options are available. Contact us at [email protected] to explore live training opportunities.

Build Hands-On Skills in Offensive AI Security

Learn how to identify, exploit, and defend vulnerabilities in AI systems, LLMs, and agents using real-world red-teaming techniques and adversarial thinking.


Map AI Attack Surfaces

Identify vulnerabilities across AI systems, including models, data pipelines, APIs, and agent-based architectures.


Exploit LLM and Agent Vulnerabilities

Conduct prompt injection, data poisoning, and adversarial attacks to uncover weaknesses in AI systems.


Think Like an AI Attacker

Adopt an offensive mindset to simulate real-world attack scenarios and test AI system resilience under adversarial conditions.


Validate Security Controls

Test and validate defensive mechanisms to ensure AI systems can withstand real-world threats and misuse.


Secure AI Systems in Practice

Apply techniques to strengthen AI models, pipelines, and deployments against evolving attack vectors.


Operate in Adversarial Environments

Develop the skills needed to assess, test, and secure AI systems in high-risk, real-world operational environments.

A Structured Approach to Offensive AI Security

Progress through a hands-on curriculum designed to develop your ability to identify, exploit, and defend vulnerabilities across modern AI systems and architectures.


Module 1
Foundations of AI Security and Threat Landscape
Module 2
AI System Architecture and Attack Surfaces
Module 3
Prompt Injection and LLM Exploitation Techniques
Module 4
Adversarial Machine Learning and Model Manipulation
Module 5
Data Poisoning and Training Data Attacks
Module 6
Red Teaming AI Systems and Attack Simulation
Module 7
Defensive Techniques and AI Security Controls
Module 8
Securing AI Systems in Production Environments

Built for Professionals Securing AI in High-Risk Environments

Designed for experienced professionals working at the intersection of AI and cybersecurity who need to identify vulnerabilities, simulate attacks, and defend AI systems in real-world environments.


Cybersecurity Professionals

Expanding into AI security and looking to identify, exploit, and defend vulnerabilities in AI systems and applications.


Penetration Testers and Red Teamers

Applying offensive security techniques to AI systems, including LLMs, agents, and AI-driven applications.


AI and ML Engineers

Seeking to understand how AI systems can be attacked and how to build more secure and resilient models and pipelines.


Security Analysts and Engineers

Responsible for assessing risk, monitoring systems, and ensuring AI technologies are deployed securely.


DevSecOps and Platform Engineers

Integrating security into AI pipelines and ensuring AI systems are resilient across development and deployment environments.


Government and Defense Professionals

Operating in high-risk environments where AI security, resilience, and adversarial testing are critical.

Train to Identify and Stop AI Attacks Before They Happen

Build real-world offensive AI security knowledge through a structured, on-demand program and earn an EC-Council certification that validates your ability to identify and mitigate AI system risks.


On-Demand Learning Experience

  • Self-paced, on-demand training through the EC-Council iLearn platform
  • Practitioner-focused content covering offensive AI security concepts and real-world attack methodologies
  • Structured modules designed to build your ability to identify, exploit, and defend vulnerabilities across AI systems

Certification and Exam Details

  • Certification: Certified Offensive AI Security Professional (C|OASP)
  • Exam Format: Multiple choice (100 questions)
  • Exam Duration: 3 hours
  • Passing Score: 70–80%
  • Includes exam voucher and one retake

Prerequisites

  • A minimum of 2–3 years of experience in cybersecurity, penetration testing, or a related field is strongly recommended
  • Working knowledge of security concepts, attack methodologies, and system architecture
  • Familiarity with AI/ML concepts and modern AI tools (including LLMs) is expected

Looking for a Live Training Option?

Instructor-led and private group training options are available. Contact us at [email protected] to learn more about upcoming sessions or group training opportunities.

AI Systems Are Already Being Targeted

As organizations adopt AI at scale, attackers are exploiting new vulnerabilities in models, data, and pipelines—often faster than defenses can keep up.


Artificial intelligence is rapidly becoming part of critical systems across industries—but it is also introducing entirely new attack surfaces. From prompt injection to data poisoning and model manipulation, attackers are already exploiting weaknesses in AI systems that many organizations do not fully understand.

Traditional security approaches are not enough. AI systems behave differently, introduce new risks, and require new ways of thinking about security. Without the ability to test and validate these systems under adversarial conditions, vulnerabilities often go unnoticed until they are exploited.

The Certified Offensive AI Security Professional (C|OASP) prepares you to address that gap. It equips you with the knowledge to identify attack vectors, simulate real-world threats, and strengthen AI systems before they are deployed in high-risk environments.

AI is creating new opportunities—and new vulnerabilities. The professionals who can secure it will be essential to every organization adopting it.

Start Building Your AI Security Capabilities

Develop the skills to identify vulnerabilities, simulate attacks, and secure AI systems before they are exposed in real-world environments.