برچسب: AI

This course has a both theory and practical lab sections with a focus on finding and exploiting vulnerabilities in AI and LLM systems and applications. The training is aligned with the OWASP Top 10 LLM as well as the OWASP Top 10 Agentic vulnerability classes. The videos are easy to follow along and replicate.

Offensive Cyber Operations with AI (OCO-AI) is a hands-on, practitioner-focused course that teaches you how to integrate large language models, autonomous agents, and workflow automation into the full cyber kill chain. Designed for offensive security professionals, it shows how AI can accelerate reconnaissance, attack-surface discovery, binary analysis, Active Directory pathfinding, phishing preparation, and post-exploitation planning in realistic red team scenarios.

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.

AI Hacking 101 teaches students the fundamentals of penetration testing for AI/LLM-based applications through self-paced video instruction and guided hands-on labs. Students will learn to detect and exploit common AI vulnerabilities, with practical exercises using a custom-built lab environment featuring a vulnerable chatbot that uses Retrieval-Augmented Generation (RAG) and integrates with a company knowledge base.

This course is designed to introduce students to the fundamentals of AI including neural networks and transformer large language models (LLMs). Beginning with the math behind neural networks and how they are trained, students will learn how these networks are used for natural language processing and the architecture of modern transform LLMs, providing a full picture of how neural networks and LLMs actually work. This course does not focus on how to use AI tools.

Learn hands-on how to exploit AWS cloud misconfigurations and build practical skills with step-by-step walkthroughs, labs, and CTFs. CloudGoat enables you to deploy vulnerable-by-design AWS scenarios in your own environments, although we will be providing a couple of those scenarios as 1-click deploy Cybr Hands-On Labs if you would rather not use your own environments. Not all of the scenarios will be available with our labs due to how vulnerable they are.