Udemy

How to use AI and LLMs for Offensive and Defensive Security

立即報名
  • 134 名學生
  • 更新於 4/2025
  • 可獲發證書
4.7
(13 個評分)
  • 提示:
  • 透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期*
全年招生
課程級別
學習模式
修業期
4 小時 20 分鐘
教學語言
英語
授課導師
Martin Voelk
證書
  • 可獲發
  • (證書的發放與分配,依課程提供者的政策及安排而定。)
評分
4.7
(13 個評分)
*提示: 以上時間表僅供參考,以機構網站為準。

課程簡介

How to use AI and LLMs for Offensive and Defensive Security

Learn how to leverage AI/LLMs for your day-to-day job in both offensive and defensive security. Be ahead of the curve!

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.

課程章節

  • 7 個章節
  • 32 堂課
  • 第 1 章 AI/LLM Introduction
  • 第 2 章 Models / UIs and local setup
  • 第 3 章 Prompting and Prompt Engineering
  • 第 4 章 Tools
  • 第 5 章 Offensive Security with AI
  • 第 6 章 Burp Suite AI Features
  • 第 7 章 Defensive Security with AI

課程內容

  • 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 and Prompt Engineering
  • Zero-shot, few-shot, Chain of Thought
  • System Prompts
  • Make your own bots
  • Prompt leakage
  • Jailbreaking
  • Troubleshooting
  • API usage
  • Yolo tool
  • Fabric tool
  • LLM CLI
  • Using AI/LLM for Offensive Security
  • Using AI/LLM for Defensive Security


評價

  • D
    Dariusz Pawlikowski
    5.0

    The topics are prepared thoroughly and explained in a wonderfully accessible way. Besides that, Martin always offers help and answers questions. I recommend it!

  • V
    Vijay Kumar S
    5.0

    great

  • G
    Gabrielle Botbol
    5.0

    Martin is an amazing teacher. I have taken all his courses and I am not disappointed at all.

  • R
    Richard Hellstern
    5.0

    Just listened for 24 minutes. This seems to be an excellent class.

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