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AI-based Practical Security Training: From Vulnerability Detection to LLM Jailbreaking

As AI rapidly permeates daily life and industries, attack techniques targeting these systems are evolving alongside them. This course is a practical, hands-on program designed to help you understand the latest security threats surrounding Generative AI and LLMs, automate security tasks using AI, and experience LLM jailbreak attacks and defenses firsthand.

10 learners are taking this course

Level Intermediate

Course period Unlimited

prompt engineering
prompt engineering
LLM
LLM
security training
security training
AI Agent
AI Agent
prompt engineering
prompt engineering
LLM
LLM
security training
security training
AI Agent
AI Agent

What you will gain after the course

  • AI can automatically detect web vulnerabilities.

  • You can automate Recon & Google Dorking with an AI Agent.

  • You can understand LLM jailbreak attack techniques and defense strategies.

  • Generative AI security threats can be analyzed from a practical perspective.

Practical Security with AI: From Vulnerability Detection to LLM Jailbreaking

As generative AI and LLMs are rapidly being adopted across all industries, the focus of security threats is now shifting toward the AI systems themselves. Attack techniques such as prompt injection, sensitive information leakage, system prompt exposure, and LLM jailbreaking have become realistic security issues rather than just theory.

This course goes beyond simple conceptual explanations; it is a hands-on security training program designed to help you understand LLM security threats, design attack and defense strategies through prompt engineering, and automate security tasks using AI Agents.

Students will directly experience the entire practical security workflow using AI, ranging from web vulnerability detection, reconnaissance, and Google Dorking automation to LLM jailbreak attacks and defense strategies.

What you will learn

LLM Security Threats & Prompt Engineering

  • Learn through real-world cases how generative AI and LLMs are being exploited.

  • Structurally understand representative LLM security threats such as prompt injection, sensitive information leakage, and system prompt exposure.

  • Learn how to design attack and defense prompts using prompt engineering.

  • Learn the concepts of LLM jailbreaking and strategies for attack and defense.


AI Agent-Based Security Automation Practice

  • Summarize the basic concepts of web vulnerabilities.

  • Learn how to automatically detect web vulnerabilities using AI Agents.

  • We will conduct a hands-on session on automating Google Dorking and Reconnaissance using AI Agents.

Notes before taking the course

Learning Materials and Important Notes

  • Lecture materials for the hands-on practice are provided.

  • Unauthorized distribution or sharing of lecture materials and all videos/documents is strictly prohibited.

Recommended for
these people

Who is this course right for?

  • For those curious about Generative AI and LLM security threat cases

  • Those interested in web vulnerability detection using AI

  • Those who want to automate security tasks with AI Agents

  • Those who want to practice Google Dorking and Recon automation

  • For those who want to understand LLM jailbreak attacks and defenses

  • Those who want to experience both Security for AI and AI for Security.

Need to know before starting?

  • It is helpful to have a basic understanding of web security concepts.

  • Understanding basic Python syntax makes the practice easier.

  • Experience with Generative AI (ChatGPT, Claude, etc.) is helpful.

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Courses

SecurityGround is NSHC's security education brand.

Curriculum

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28 lectures ∙ (7hr 38min)

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