Deep Learning A-Z 2026: Mạng Nơ-ron, AI & Giải thưởng ChatGPT
Kirill Eremenko
How to use AI and LLMs for Offensive and Defensive Security
How to leverage AI and LLMs for both offensive and defensive Security
Your instructor is Martin Voelk. He is a Cyber Security veteran with 25 years of experience. Martin holds some of the highest certification incl. CISSP, OSCP, OSWP, Portswigger BSCP, CCIE, PCI ISA and PCIP. He works as a consultant for a big tech company and engages in Bug Bounty programs where he found thousands of critical and high vulnerabilities.
This course has a both theory and practical lab sections The videos are easy to follow along and replicate.
The course features the following:
AI/LLM Introduction
Models / UIs and local setup
Most common LLM Models
Privacy
RAG (Retrieval Augmented Generation)
Front Ends (Open WebUI, jan ai, lmstudio etc.)
Ollama
Huggingface
Prompting
Basics
Prompt Engineering
Zero-shot, few-shot, Chain of Thought
System Prompts
Make your own bots
Prompt leakage
Jailbreaking
Troubleshooting
API usage
Tools
Yolo
Fabric
LLM CLI
Burp AI Features
Explore Issue Feature
Explainer Feature
AI Login Sequence
Broken Access Control
Shadow Repeater
AI HTTP Analyzer
LM Report
Using AI/LLM for Offensive Security
Create Pentest bots and examples
Create Redteam bots and examples
HDI attack generation
C&C attack generation
Using AI/LLM for Defensive Security
Create Blue Team bots and examples
Incident Response bot
Tool support companion bots
Code analysis bots
Notes & Disclaimer
This course is for educational purposes only. This information is not to be used for malicious exploitation and must only be used on targets you have permission to attack.
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