Certified Offensive AI Security Professional (C|OASP)

The Certified Offensive AI Security Professional (C|OASP) is a specialized offensive cybersecurity certification program focused on securing modern AI ecosystems through practical adversarial testing, AI red teaming, and AI defense engineering methodologies.

The program is designed for cybersecurity professionals, penetration testers, red team operators, AI engineers, SOC analysts, threat hunters, DevSecOps engineers, and AI security architects seeking advanced expertise in offensive AI security operations.

Unlike traditional AI programs focused on model development, C|OASP focuses on attacking, testing, validating, and securing AI systems in production environments. Learners gain practical exposure to prompt injection, jailbreaking, adversarial ML attacks, model extraction, AI infrastructure exploitation, supply chain compromise, AI incident response, and agentic AI attack scenarios.

The curriculum combines structured offensive methodologies, hands-on lab exercises, AI security frameworks, and enterprise AI defense strategies aligned with:

OWASP LLM Top 10

MITRE ATLAS

NIST AI RMF

ISO/IEC 42001

DoD AI Security Practices

Participants learn how attackers compromise AI systems and how organizations can harden models, APIs, agents, orchestration layers, memory systems, plugins, vector databases, and AI pipelines against evolving threats.

By the end of the program, learners will possess practical offensive AI security capabilities required to assess AI environments, simulate adversarial attacks, validate enterprise AI defenses, and secure next-generation AI applications across enterprise infrastructures.