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Certified Offensive AI Security Professional (COASP)

Our Mission

COASP validates you can red-team AI systems, exploit vulnerabilities in LLMs and agents, and build defenses that survive real-world attacks. You will master offensive techniques that break AI before the attackers do.  

Hands-On AI Offensive Security Techniques

Master the offensive techniques that break AI systems before attackers do. From prompt injection to model extraction, learn to think like an adversary and defend like an engineer.

  • API Reconnaissance
  • AI Reconnaissance via Model Fingerprinting
  • Transfer, Boundary & Noise Attacks
  • Telemetry Analysis to Map AI Decision Boundaries
  • Multi-Protocol Reconnaissance
  • FGSM & PGD Attacks on Image Classifiers
  • RAG Poisoning Attacks
  • API Reconnaissance & Model Extraction
  • Cross-LLM Attacks
  • PGD Attacks on Audio Models

Course and Exam

LLMs are vulnerable. Prompt injection bypasses guardrails. Data poisoning corrupts models. This credential enables you to red-team AI systems, exploit vulnerabilities in LLMs and agents, and build defenses that survive real-world attacks.

  • Red-team LLMs: prompt injection, jailbreaking, guardrail bypass
  • Exploit AI agents: tool manipulation, memory poisoning, chain attacks
  • Master OWASP LLM Top 10 & MITRE ATLAS attack frameworks

$2599.99

Offensive AI Security Methodology

 From reconnaissance to exploitation, testing to hardening, there is a systematic approach to securing AI systems against adversarial threats.

This framework equips you to think like an attacker and defend like an expert.


01 RECON

Map AI system architectures, enumerate exposed endpoints, and build threat models. Profile training pipelines, data flows, and inference APIs to identify where defenses are weakest.


02 EXPLOIT

Execute prompt injection, jailbreaking, data poisoning, and model extraction attacks to validate AI system weaknesses and document exploitable gaps.


03 DEFEND

Implement guardrails, detection mechanisms, and incident response procedures to harden AI systems and ensure resilient, secure deployments.

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