EC-Council Certified Offensive AI Security Professional (COASP)
About This Course
This 5-day intensive, hands-on course equips participants with the offensive AI security capabilities required to assess, exploit, evaluate, and harden modern AI and machine learning systems across the enterprise AI lifecycle. Through structured real-world scenarios, participants develop and apply emerging skills in cybersecurity and security governance, threat and vulnerability management, security assessment and testing, security architecture, cyber risk management, cybersecurity framework application, artificial intelligence application, network security, security programme management, cyber and data breach incident management, and cyber forensics. Participants will classify AI-specific threats, map AI attack surfaces using MITRE ATLAS, apply AI governance and compliance requirements, conduct OSINT and endpoint enumeration, perform AI vulnerability scanning and fuzzing, execute prompt injection and jailbreaking attacks, assess adversarial machine learning and data poisoning risks, evaluate agentic AI and model-to-model attack paths, harden AI infrastructure and supply chains, develop AI security testing plans, and manage AI-specific incident response and forensic investigations. The course culminates in an enterprise-grade AI Red Team engagement, where participants plan, execute, evaluate, document, and report AI security findings and recommend defensive hardening measures for integration into DevSecOps practices.
What You'll Learn
Learning Outcome 1: Apply emerging cybersecurity and security governance skills to classify AI-specific threats, map vulnerabilities using MITRE ATLAS and related attack taxonomies, and align enterprise AI operations with relevant security policies, risk frameworks, and regulatory requirements.
Learning Outcome 2: Apply emerging threat and vulnerability management skills to conduct OSINT, enumerate AI endpoints, APIs, models, and vector databases, use threat intelligence to assess exposed AI assets, and prioritise cyber risk reduction before exploitation occurs.
Learning Outcome 3: Apply emerging security assessment, testing, and security architecture skills to conduct AI vulnerability scanning, automated fuzzing, prompt injection, jailbreaking, system prompt leakage, and improper output handling tests, and design secure LLM controls such as capability scoping, output validation, and least-privilege guardrails.
Learning Outcome 4: Apply emerging cyber risk management and cybersecurity framework application skills to evaluate adversarial machine learning, model privacy, data poisoning, backdoor, Trojan, and training pipeline risks, and implement defensive measures such as adversarial robustness scoring, differential privacy, provenance tracking, cryptographic hashing, and secure MLOps controls.
Learning Outcome 5: Apply emerging artificial intelligence application and network security skills to assess agentic AI architectures, model-to-model interactions, AI workflow orchestration, AI infrastructure, APIs, libraries, and supply chain dependencies, and recommend controls for operational constraints, secure inter-agent communication, network segmentation, container isolation, API gateways, SBOM/MBOM usage, and infrastructure hardening.
Learning Outcome 6: Apply emerging security programme management, cyber and data breach incident management, and cyber forensics skills to plan, execute, evaluate
Entry Requirements
At least 2 years of working experience in cybersecurity, IT security, application security, penetration testing, or security operations
Foundational understanding of cybersecurity concepts including network security, operating systems, authentication, access control and security testing methodologies
Basic familiarity with Artificial Intelligence (AI), Large Language Models (LLMs), APIs and modern web applications
Ability to use Windows and Linux operating systems in a professional environment
Working proficiency in Microsoft Office applications (Word, Excel, PowerPoint)
Ability to speak, listen, read and write English at a proficiency level equivalent to the Employability Skills Workforce Skills Qualification (ES WSQ) Workplace Literacy (WPL) Level 6