Master the Tactical Methodology to Hack LLMs and Secure Agentic AI: the Global Command for Offensive Teams
AI is transforming products, operations, and decision-making across industries. But when AI systems move
into production, they open new attack paths, through models, prompts, data pipelines, agent workflows,
APIs, and integrations, creating vulnerabilities adversaries are already targeting.
Traditional pentesting doesn’t fully cover LLM vulnerabilities. Prompt injection, data poisoning, and model
manipulation require specialized offensive skills. Certified Offensive AI Security Professional is the first
credential built specifically for AI red teamers.
Reconnaissance, Mapping, Exploitation, Manipulation, and Data Exfiltration.
Data poisoning against LLMs/ML systems to identify training-time and inference-time weaknesses
Secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory
Across models, datasets, dependencies, and third-party integrations using SBOM/ MBOM approaches
Aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices
AI-focused detection logic, incident playbooks, and forensic procedures
C|OASP trains you to perform end-to-end adversarial testing and deliver defensive validation evidence.
Not a member yet? Register now
Are you a member? Login now
Not a member yet? Register now
Are you a member? Login now
