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The AI Red Teamer Job Role Path, in collaboration with Google, trains cybersecurity professionals to assess, exploit, and secure AI systems. Covering prompt injection, model privacy attacks, adversarial AI, supply chain risks, and deployment threats, it combines theory with hands-on exercises. Aligned with Google’s Secure AI Framework (SAIF), it ensures relevance to real-world AI security challenges. Learners will gain skills to manipulate model behaviors, develop AI-specific red teaming strategies, and perform offensive security testing against AI-driven applications. The path will be gradually expanded with related modules until its completion.

Certified Red Team – CredOps Infiltrator [CRT-COI] is a practical mini-course focused on Windows credential storage internals and credential access concepts for offensive security teams. Learners explore DPAPI, WDigest, LSASS, WiFi credentials, browser secrets, the Registry, and Credential Manager through on-demand videos, PDF materials, and hands-on exercises. Designed for beginner to intermediate learners, this course is ideal for red teamers, penetration testers, system administrators, students, and cybersecurity enthusiasts looking to strengthen their understanding of credential operations in Windows environments.

Advanced AI Red Teaming (AI-300) is OffSec’s advanced AI cybersecurity training course designed to help security professionals assess and exploit vulnerabilities in modern AI systems. As organizations increasingly adopt generative AI, machine learning models, and autonomous AI applications, the attack surface for cyber threats is rapidly expanding, increasing the need for stronger threat intelligence, risk management, and modern cyber defense strategies. Traditional penetration testing approaches were not designed for AI-enabled environments, where models, data pipelines, agents, and orchestration frameworks introduce entirely new security risks. As organizations deploy generative AI across production environments, the AI attack surface continues to expand, requiring new approaches to AI security testing and offensive assessment.

This is a large, hands-on IoT security course that takes you across the entire connected-device stack and then teaches you how to defend it. It mirrors its title: a hacking half that goes on the offensive across hardware, firmware, networks, radio, mobile apps, and the cloud, followed by a hardening half that maps a concrete defense back to every attack you learn.