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Generative AI Techniques for Cyber Offense Capabilities

by Laurentiu Raducu

This course will teach you how attackers leverage LLMs for performing cyber offensive actions.

What you'll learn

With the increasing sophistication of cyber-attacks, traditional defense mechanisms are no longer sufficient. Cyber adversaries are leveraging AI to create more advanced, targeted threats, leaving organizations vulnerable to unprecedented security challenges. In this course, Generative AI Techniques for Cyber Offense, you’ll learn to harness AI tools and techniques to simulate and understand cyber-attacks, improving your ability to protect against them. First, you’ll explore how to use generative AI for obfuscating code and other techniques to bypass detection, enhancing your defense evasion skills. Next, you’ll discover how to optimize and automate attack execution, including generating scripts for brute forcing, password cracking, payload delivery mechanisms, and creating reverse shell payloads. You'll also learn to craft sophisticated malware variants, focusing on persistence and file encryption techniques. Finally, you’ll analyze web applications for vulnerabilities, using generative AI to discover and test for SQL injection, blind injection, XSS, and buffer overflows.

You’ll also learn to exploit file upload capabilities to gain deeper access. When you’re finished with this course, you’ll have the skills and knowledge of AI-powered cyber-offensive tactics, enabling you to carry out highly targeted cyber-attacks while understanding how to safeguard against them.

About the author

It all began in highschool, when Laurentiu first started his path in the computer science journey. Initially he started with C++, and fell in love quickly with the prospect of learning to develop software. Thanks to his passion for chess, his first computer program was a console-based ASCII chess game developed in C++. After a while, during university, Laurentiu started to experiment with other OOP programming languages, like Java, Kotlin or Python. He started to play with different tech stacks ... more

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