Certified Offensive AI Security Professional (Bundle offer)

Certified Offensive AI Security Professional (Bundle offer)

Rs 190,000.00
Sale price  Rs 190,000.00 Regular price 
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Certified Offensive AI Security Professional (Bundle offer)

Certified Offensive AI Security Professional (Bundle offer)

Rs 190,000.00
Sale price  Rs 190,000.00 Regular price 

Quick Note

  • Bundle offer: eCourseware+ iLab access + Exam Voucher.
  • Training: Self-Paced Online (Official EC-Council Training).
  • Course Version: Latest available version (2026) in the EC-Council catalog.
  • Access Delivery: Once your order is processed, your login credentials will be shared by EC-Council to your registered email within 3–5 business days.

Course Description

C|OASP (Certified Offensive AI Security Professional) is a hands-on, practitioner-level credential that validates your ability to ethically attack AI systems so you can defend them with engineering-grade controls.

C|OASP is not about building AI models or running AI programs. It is about proving you can:

  • Think like an attacker inside AI systems
  • Uncover weaknesses across models and pipelines
  • Validate security controls
  • Reduce operational risk before deployment

This is the only credential built for offensive AI security work with outcomes you can demonstrate.

What You Will Learn

C|OASP trains you to perform end-to-end adversarial testing and deliver defensive validation evidence, including:

Simulate adversarial AI kill chains
- Reconnaissance mapping -> exploitation manipulation -> exfiltration.

Harden AI architectures
- Secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory.

Conduct AI security assessments
- Aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices.

Build SOC-ready capabilities
- AI-focused detection logic, incident playbooks, and forensic procedures.

Execute prompt injection, adversarial prompting
- And data poisoning against LLMs/ML systems to identify training-time and inference-time weaknesses.

Assess AI supply-chain risk
- Across models, datasets, dependencies, and third-party integrations using SBOM/MBOM approaches.

Implement defensive engineering controls
- Filtering, sandboxing, rate limiting, anomaly detection, and drift monitoring.

Produce assurance and compliance artifacts
- Mapped to NIST AI RMF, ISO/IEC 42001, and emerging AI regulatory expectations.

Course Outline

Module 01: Offensive AI and AI System Hacking Methodology
Module 02: AI Reconnaissance and Attack Surface Mapping
Module 03: AI-Specific Vulnerability Scanning and Fuzzing
Module 04: Prompt-Based and LLM Application Attacks
Module 05: Adversarial Machine Learning and Model Privacy Attacks
Module 06: Data and Training Pipeline Attacks
Module 07: Agentic AI and Model-to-Model Attacks
Module 08: AI Infrastructure and Supply Chain Attacks
Module 09: AI Security Testing, Evaluation, and Hardening
Module 10: AI Incident Response, Forensics, and Capstone Red Team

Recommended Audience

C|OASP is designed for security professionals who wish to master offensive and defensive AI security techniques.

Offensive Security
- Penetration Tester/Ethical Hacker
- Red Team Operator/Red Team Lead
- Offensive Security Engineer
- Adversary Emulation/Purple Team Specialist

Threat Intelligence
- Malware Analyst/Threat Researcher
- Cyber Threat Intelligence (CTI) Analyst – AI Focus
- Fraud/Abuse Detection Analyst (AIenabled threats)

Security Engineering
- DevSecOps/Secure DevOps Specialist
- Application Security Engineer (LLM Apps/APIs)
- Product Security Engineer/AI Product Security

Defensive Security
- SOC Analyst (Tier 2/3)/Detection Engineer
- Blue Team Engineer/Threat Detection Engineer
- Incident Responder (IR)/DFIR Analyst
- Security Operations Manager (SOC Lead)

AI/ML Engineering
- ML Engineer/Applied AI Engineer
- GenAI Engineer (RAG/Agents)
- AI/LLM Application Developer
- MLOps/AI Platform Engineer

AI Security Architecture
- Secure AI Engineer/AI Security Architect
- LLM Systems Engineer

Prerequisites

Recommended 3 years of cybersecurity experience.

Package Includes

Your package includes following advantages, effective from date of purchase of your training course: 
- eCourseware self-study environment delivered in a video-streaming format (One (1) Year access)
- Six (6) months access to EC-Council's official online lab environment
- Certification or Exam voucher valid for a period of one (1) year

Exam Details

Exam Code: 312-52
Number of Questions: 70
Duration: 6 hours
Format: Multiple Choice and Performance-based questions
Availability: EC-Council Exam Portal

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