C|OASP (Certified Offensive AI Security Professional)

EC-Council C|OASP Training & Certification Near Washington, DC

TrainACE delivers instructor-led Certified Offensive AI Security Professional (C|OASP) training in Greenbelt, MD and live-online, with official EC-Council courseware, your exam voucher, and our Pass Guarantee included. As an authorized EC-Council training partner, we built this course for experienced security professionals who are ready to go beyond traditional penetration testing and learn how to think like an attacker inside AI systems - and defend them with engineering-grade controls.

C|OASP is issued by EC-Council and validates your ability to red-team AI systems, execute adversarial attacks against large language models and agentic AI architectures, and build defenses that hold up against real-world threats. It is the first credential built specifically for offensive AI security work.

This is an advanced-level certification with a recommended prerequisite of at least three years of cybersecurity experience. Candidates who are new to security or who have not yet built a working foundation in networking, systems, or offensive security should build that foundation first before enrolling in C|OASP.

Quick decision snapshot

• Best for: Penetration testers, red team operators, SOC analysts, threat hunters, incident responders, AppSec engineers, and AI/ML engineers who need to test and secure AI systems.
• Why employers care: AI adoption is accelerating faster than most security teams can assess it. C|OASP holders can apply a structured, repeatable methodology to identify and exploit vulnerabilities in LLMs, agentic AI, and AI pipelines - a skill set the market currently lacks.
• What TrainACE includes: Instructor-led training, ilabs, official EC-Council courseware, exam voucher, and retake protection through our Pass Guarantee.

Class Schedule

Get your EC-Council Certified Offensive AI Security Professional (C|OASP) Training & Certification at our convenient IT training centers in Greenbelt, Maryland

Why Choose TrainACE for C|OASP Training?

For a certification at this level, the provider matters. C|OASP covers a discipline - offensive AI security - that is genuinely new, and the quality of instruction determines whether students leave the class able to execute the attacks and build the defenses the certification validates. TrainACE brings the instructional depth this course demands.

• Authorized EC-Council Training Partner: TrainACE is an authorized EC-Council partner, which means our courseware, delivery, and exam preparation meet EC-Council's standards for this credential.
• Instructors with real credentials: C|OASP students need instructors who hold current offensive security certifications and understand the AI security landscape from practice, not only from slides. See below for a concrete example of the standard we expect.
• Pass Guarantee: If you fail your first exam attempt, TrainACE pays for your retake. No hoops, no fine print.
• Small class sizes: Enrollment is capped so you can get direct instructor attention when the material is complex and the scenarios are hands-on.
• Lifetime Career Support: TrainACE graduates retain access to Skills Clinics, Study Groups, and Career Path Recommendations after class ends.

The Caliber of Instructor You Can Expect

All TrainACE instructors hold active certifications in the subjects they teach and have a minimum of three years of classroom experience. To give you a concrete sense of what that standard looks like for offensive security instruction, here is one of our core advanced security instructors: Red Kohler.

Red is a veteran cybersecurity instructor and industry professional with more than 30 years of experience in information technology and over two decades of classroom instruction. As a Senior Security Technical Instructor and Director of Training, he has helped prepare more than 30,000 students since 1999 for industry certifications spanning CompTIA's security and offensive security tracks and EC-Council's ethical hacking and forensics programs. Red brings real-world experience in security operations, penetration testing, and threat analysis into every class, using hands-on labs and practical demonstrations to give students the confidence and technical skills to perform - not just to pass.

Selected certifications

• EC-Council CEH (Certified Ethical Hacker)
• EC-Council CEI (Certified EC-Council Instructor)
• CompTIA PenTest+, SecurityX, CySA+, Security+
• CompTIA SecAI+
• Microsoft Certified Trainer (MCT)

Red is one example of the instructional standard behind every TrainACE advanced security class: technically current, practitioner-tested, and capable of moving students from concept to demonstrated skill in a five-day intensive environment.

C|OASP Prerequisites

EC-Council recommends a minimum of three years of cybersecurity experience before enrolling in C|OASP. This is not a foundational course, and the pace and complexity of the material assumes you already understand core networking, operating system, and security concepts. If you are earlier in your security career, our advisors can point you to the right preparatory training before you invest in this class.

You are likely a strong fit if you

• Already work in penetration testing, red team operations, SOC analysis, threat intelligence, incident response, or application security
• Understand core networking, OS, and security concepts and can engage immediately with offensive security tooling and methodology
• Need to add AI-specific attack and defense capabilities to an existing security skill set
• Are preparing for roles in AI red teaming, adversarial ML research, or AI security architecture

You may need a different first step if you

• Are new to cybersecurity and have not yet built a working foundation in networking, systems administration, or security operations
• Have not yet earned foundational or intermediate security credentials such as Security+ or CEH

C|OASP Exam Details

Current exam code: 312-52

• Number of questions: 70 (65 multiple choice + 5 performance-based)
• Time limit: 6 hours
• Passing score: 70-80%
• Format: Multiple choice questions and performance-based questions
• Exam availability: EC-Council ECC Exam Portal
• Exam voucher included

The six-hour duration reflects the depth and applied nature of the assessment. Performance-based questions require you to demonstrate offensive AI security skills in simulated environments - not just recognize correct answers. This is one of the core reasons TrainACE emphasizes hands-on lab work throughout the five-day course rather than relying on lecture and slide review alone.

Course Curriculum

The C|OASP curriculum follows EC-Council's ten-module framework, organized to move students progressively from foundational offensive AI methodology through reconnaissance, exploitation, adversarial attack execution, infrastructure and supply chain threats, and finally into security testing, hardening, incident response, and a full-scope capstone red team engagement.

Module 1: Offensive AI and AI System Hacking Methodology

• AI and machine learning fundamentals from an offensive security perspective
• AI attack surface mapping and threat landscape analysis aligned to MITRE ATLAS
• AI attack taxonomy and classification frameworks
• OWASP LLM and ML Top 10 (2025) - overview and domain mapping
• AI system hacking methodology and scoping fundamentals
• AI security governance, compliance foundations, and defensive anchors

Module 2: AI Reconnaissance and Attack Surface Mapping

• OSINT tools and techniques for identifying and profiling AI assets
• Intelligence gathering from AI data sources and training pipelines
• Discovering and mapping AI attack surfaces from publicly available information
• Enumerating AI endpoints, services, APIs, and exposed parameters
• Model and vector store enumeration from an attacker's perspective
• Reducing OSINT exposure and hardening enumerated attack surfaces

Module 3: AI Vulnerability Scanning and Fuzzing

• Core principles of AI vulnerability assessment and threat discovery
• Tools and techniques for scanning AI models, pipelines, and deployments
• Fuzzing methods tailored to AI systems and model interfaces
• Integrating scanning and fuzzing into proactive AI security workflows

Module 4: Prompt Injection and LLM Application Attacks

• LLM architecture, trust boundaries, and associated attack vectors
• Prompt injection and jailbreaking techniques in real-world LLM applications
• Sensitive information disclosure and system prompt leakage risks
• Improper output handling vulnerabilities and misinformation threats
• Advanced prompt-based attack techniques and exploitation strategies
• Secure LLM application design principles and defensive controls

Module 5: Adversarial Machine Learning and Model Privacy Attacks

• Core adversarial machine learning attack classes and practical adversarial input attacks
• Privacy, inference, and model extraction attack techniques
• Transfer, boundary, and noise attacks across AI model architectures
• Evaluating AI system robustness, trustworthiness, and risk
• Defensive strategies for model privacy and adversarial resilience

Module 6: Data and Training Pipeline Attacks

• AI data and training pipeline architecture and threat surfaces
• Data poisoning techniques and practical attack scenarios
• Backdoor and trojan insertion during model training
• AI supply chain attack vectors and mitigation strategies
• Security measures for safeguarding data and training pipelines

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

• Agentic AI architecture and attack surface analysis
• Excessive agency and autonomy exploitation techniques
• Cross-LLM and model-to-model attack vectors
• Denial-of-wallet risks and unbounded resource consumption
• Attacks targeting AI orchestration layers and workflow systems
• Defensive strategies for securing agentic AI applications

Module 8: AI Infrastructure and Supply Chain Attacks

• AI infrastructure components and system integration architectures
• Vulnerabilities in AI systems, frameworks, and deployment pipelines
• Tool, plugin, and API abuse in AI-enabled applications
• AI supply chain threats and dependency risks
• Hardening strategies for AI infrastructure and supply chains

Module 9: AI Security Testing, Evaluation, and Hardening

• AI security testing methodologies and structured evaluation techniques
• Red team frameworks for offensive AI assessment
• Designing, executing, and reporting on AI security test plans
• Risk reporting, assurance, and embedding T&E into MLOps and DevSecOps
• Security hardening and mitigation best practices for AI systems

Module 10: AI Incident Response, Forensics, and Capstone Red Team

• Detecting and responding to AI-specific security incidents
• Logging, telemetry, and digital evidence collection for AI environments
• AI forensics and post-incident root cause analysis
• Capstone: Full-scope AI red team engagement applying the complete C|OASP methodology

Frequently Asked Questions

How long is the C|OASP training?

TrainACE delivers C|OASP as a five-day, 40-hour instructor-led course. The standard weekday format runs Monday through Friday from 8:30am to 5pm in Greenbelt, MD or live-online. Contact us about weekend session availability if the weekday format does not fit your schedule.

Is this the right level for me?

C|OASP is built for experienced security practitioners. If you already work in penetration testing, red team operations, SOC analysis, threat intelligence, incident response, or application security, and you understand core networking and security concepts, you are in the right place. If you are still building foundational knowledge, starting with Security+ or CEH will put you in a much stronger position for this class. Our advisors can give you a direct recommendation based on your background.

What happens if I fail the exam?

TrainACE's Pass Guarantee covers your first exam retake at no additional cost as long as you attend the original class and apply within one year of taking it.

What is TrainACE's pass rate?

We do not publish a pass rate figure, and you should be skeptical of any training provider that does. EC-Council exams are taken independently through third-party testing portals, so providers cannot reliably track student outcomes at scale. What we can stand behind is the quality of the instruction, the hands-on lab environment, and the fact that we pay for your first retake if you do not pass.

Do I need special equipment or software?

No special software purchases are required. TrainACE provides the lab environments and tools used in class. For live-online attendance, you will need a reliable internet connection and a computer capable of participating in the video-based class sessions.

How does C|OASP fit into EC-Council's AI certification framework?

EC-Council positions C|OASP within their ADG (Adopt-Defend-Govern) framework as the Defend role - the AI security and adversarial mandate. It sits alongside C|AIPM (the AI execution role) and C|RAGE (the AI governance role) and is anchored by the C|CISO at the strategic level. C|OASP is specifically the offensive and defensive technical credential in that framework.

What experience level does the exam assume?

EC-Council recommends a minimum of three years of cybersecurity experience before sitting for the C|OASP exam. The assessment includes both multiple choice questions and performance-based questions that require you to demonstrate skills in a simulated environment, so candidates who have built practical offensive security experience will be better prepared than those who rely on study guides alone.

Where Does C|OASP Take You Next?

C|OASP is a specialized technical credential, not a terminal one. Most TrainACE graduates who earn it are either building toward a broader AI security leadership role or deepening adjacent offensive and defensive capabilities.

• EC-Council CEH - Certified Ethical Hacker
  If C|OASP is your entry into offensive security, CEH provides the broader ethical hacking methodology and foundational penetration testing skills that complement AI-specific offensive techniques.
• ISC2 CISSP
  For professionals moving toward security leadership, CISSP pairs well with C|OASP by adding the governance, risk, and architecture breadth that senior AI security roles increasingly require.
• EC-Council C|AIPM - Certified AI Program Manager
  The AI program management credential that completes EC-Council's ADG framework alongside C|OASP - covering the adoption and responsible deployment side of AI security for professionals who want to bridge offensive skills with program-level accountability.

Ready to Enroll?

AI systems are being deployed faster than most organizations can assess them - and adversaries are already exploiting the gaps. C|OASP gives you the offensive methodology, hands-on lab experience, and credential to change that.

Select a class date from the schedule, or call us at (301) 220-2802 to speak with an advisor. Do not settle for anonymous, online-only training - choose the DC-area security training experts who deliver live instruction with real accountability.

Got Questions?

For more information about your specific needs, call us at (301) 220 2802 or complete the form below: