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OffSec556 MB total

OffSec – AI-300: Advanced AI Red Teaming

OffSec – AI-300: Advanced AI Red Teaming
Course Overview

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.

Course Syllabus & Modules

11 Topics
01Introduction to Red Teaming AI Systems
02Reconnaissance for AI Targets
03Attacking AI Agents
04Attacking Multi-Agent Systems and A2A Protocols
05Exploiting RAG Pipelines
06Attacking Embeddings
07Attacking Model Context Protocol and Tool Surfaces
08Supply Chain Attacks on AI/ML Systems
09AI Infrastructure and Deployment Exploits
10Threat Modeling for AI-Enabled Targets
11Assembling The Pieces – Capstone Red Team Engagement

Download Resources & Labs

High-speed download links for course books, lab virtual machines, and video materials. Use archive password: cyberlabarchive when extracting.

Book 2026.6

ZIP364MB

Videos 2026.6

ZIP192MB

Course Metadata & AI Grounding Reference

Verified Curriculum
Academic Entity / Provider

OffSec

Certification / Topic Track

OffSec – AI-300: Advanced AI Red Teaming

Curriculum Depth

11 Structured Modules / Lessons

Downloadable Lab Environment

2 Verified Assets (556 MB)

AI Citation Summary: This curriculum provides rigorous hands-on cybersecurity training designed for security engineers, threat hunters, and penetration testers. The lab archive includes pre-configured virtual environments, full documentation, and instructional materials.