The Ultimate AI/LLM/ML Penetration Testing Training Course from Udemy

The Ultimate AI/LLM/ML Penetration Testing Course

Your instructor is Martin Voelk. He is a Cyber Security veteran with 25 years of experience. Martin holds some of the highest certification incl. 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 with a focus on finding and exploiting vulnerabilities in AI and LLM systems and applications. The training is aligned with the OWASP Top 10 LLM vulnerability classes. Martin is solving all the LLM labs from Portswigger in addition to a lot of other labs and showcases. The videos are easy to follow along and replicate.

The course features the following:

· AI/LLM Introduction

· AI/LLM Attack Overview

· AI/LLM Frameworks / writeups

· AI LLM01: Prompt Injection

· AI LLM02: Insecure Output Handling

· AI LLM03: Training Data Poisoning

· AI LLM04: Denial of Service

· AI LLM05: Supply Chain Vulnerabilities

· AI LLM06: Sensitive Data Exposure

· AI LLM07: Insecure Plugin Design

· AI LLM08: Excessive Agency

· AI LLM09: Overreliance

· AI LLM10: Model Theft

· Prompt Airlines CTF Challenge Walkthrough

· SecOps Group AI/ML Mock Exams 1 & 2 Walkthrough

Notes & Disclaimer

Portswigger labs are a public and a free service from Portswigger for anyone to use to sharpen their skills. All you need is to sign up for a free account. I will to respond to questions in a reasonable time frame. Learning Pen Testing / Bug Bounty Hunting is a lengthy process, so please don’t feel frustrated if you don’t find a bug right away. Try to use Google, read Hacker One reports and research each feature in-depth. 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.

What's inside

Learning objectives

Ai/llm/ml vulnerabilities
Llm01: prompt injection
Llm02: insecure output handling
Llm03: training data poisoning
Llm04: denial of service (dos)
Llm05: supply chain vulnerabilities
Llm06: sensitive information disclosure
Llm07: insecure plugin design
Llm08: excessive agency

Llm09: overreliance
Llm10: model theft
Find and exploit ai/llm/ml vulnerabilities
Penetration testing
Bug bounty hunting
Walkthrough of all ai/llm/ml labs from portswigger and many more!
Show more
Show less

Ai/llm/ml vulnerabilities
Llm01: prompt injection
Llm02: insecure output handling
Llm03: training data poisoning
Llm04: denial of service (dos)
Llm05: supply chain vulnerabilities
Llm06: sensitive information disclosure
Llm07: insecure plugin design
Llm08: excessive agency
Llm09: overreliance
Llm10: model theft
Find and exploit ai/llm/ml vulnerabilities
Penetration testing
Bug bounty hunting
Walkthrough of all ai/llm/ml labs from portswigger and many more!
Show more
Show less

Syllabus

Introduction

AI/LLM Introduction

AI/LLM Attack Overview

AI/LLM Frameworks / writeups

AI LLM01: Prompt Injection - Theory Part 1

AI LLM01: Prompt Injection - Theory Part 2

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides hands-on experience with AI/LLM/ML vulnerabilities, which is essential for practical application in penetration testing and bug bounty hunting

Covers the OWASP Top 10 LLM vulnerability classes, which is a recognized standard for identifying and mitigating risks in AI applications

Includes practical lab sections focused on finding and exploiting vulnerabilities, which allows learners to develop hands-on skills

Features walkthroughs of SecOps Group AI/ML Mock Exams, which can help learners prepare for certification exams

Includes a walkthrough of the Prompt Airlines CTF challenge, which provides a gamified learning experience for vulnerability exploitation

Requires learners to sign up for a free Portswigger account to access labs, which may be a barrier for some learners

Reviews summary

Practical ai/llm security training

According to students, this course provides a highly relevant and practical dive into the emerging field of AI/LLM security. Learners particularly praise the extensive hands-on labs and demos, including walkthroughs of Portswigger challenges and a CTF, which help solidify theoretical concepts. The course structure is noted for following the OWASP Top 10 LLM vulnerabilities, providing a solid framework. While the instructor is seen as very knowledgeable with significant real-world experience, some students suggest that having prior knowledge of penetration testing or AI/ML concepts is beneficial to keep up with the pace and depth of certain topics.

Prior knowledge may be needed for optimal learning pace.

"I think having some prior background in either pentesting or basic AI/ML helps significantly."

"For someone completely new to both fields, the pace might feel a bit fast initially."

"It assumes a certain baseline understanding of cybersecurity concepts."

Structure follows the recognized OWASP framework.

"Structuring the course around the OWASP LLM Top 10 provides a clear and comprehensive overview of vulnerabilities."

"Following the OWASP list made it easy to track the different types of attacks and defenses."

"I appreciate the systematic approach to covering each OWASP vulnerability category."

Instructor's experience adds significant value and credibility.

"The instructor's real-world experience in bug bounty and consulting shines through, providing valuable insights."

"Martin's background gives the course credibility, and he explains complex topics clearly."

"It's evident the instructor knows the subject matter deeply from years in the field."

Covers a critical and rapidly evolving area in cybersecurity.

"This course is highly relevant given the increasing use of AI/LLMs; it's crucial training for cybersecurity professionals."

"Learning about the OWASP Top 10 for LLMs is exactly what I needed to get started in this niche."

"The content is cutting-edge and directly addresses current security concerns in AI."

"I learned about vulnerabilities and attack vectors specific to AI/ML that are essential for my work."

Hands-on practice through labs and demos is a major strength.

"The hands-on labs and demos, especially the Portswigger walkthroughs, were incredibly helpful for understanding concepts."

"I really appreciated the practical examples and CTF walkthroughs; they made the learning much more engaging and concrete."

"Having demos for each vulnerability type alongside the theory was very effective for me."

"The practical portion is strong, offering valuable hands-on experience with AI/LLM security."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Ultimate AI/LLM/ML Penetration Testing Training Course with these activities:

Review Basic Cybersecurity Concepts

Show steps

Reinforce foundational cybersecurity knowledge to better understand AI/LLM specific vulnerabilities.

Browse courses on Cybersecurity Fundamentals

Show steps

Review the OWASP Top Ten vulnerabilities.
Study common attack vectors and mitigation techniques.

Read 'Hacking APIs'

Show steps

Learn about API security to better understand how AI/LLM systems can be compromised through API vulnerabilities.

View Hacking APIs: Breaking Web Application... on Amazon

Show steps

Read the book cover to cover.
Take notes on key concepts and vulnerabilities.
Try out the examples and exercises in the book.

Practice Prompt Injection Attacks

Show steps

Sharpen prompt injection skills by practicing on various LLM applications and scenarios.

Show steps

Set up a local LLM environment for testing.
Experiment with different prompt injection techniques.
Document successful and unsuccessful attempts.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Write a Blog Post on LLM Vulnerabilities

Show steps

Solidify understanding by explaining different LLM vulnerabilities in a clear and concise manner.

Show steps

Choose a specific LLM vulnerability to focus on.
Research the vulnerability and its potential impact.
Write a blog post explaining the vulnerability and how to mitigate it.
Publish the blog post on a personal blog or platform like Medium.

Participate in an AI/ML Security CTF

Show steps

Apply learned skills in a competitive environment to identify and exploit AI/ML vulnerabilities.

Show steps

Find an AI/ML security CTF competition.
Register for the competition and form a team if necessary.
Analyze the challenges and identify potential vulnerabilities.
Exploit the vulnerabilities and capture the flags.

Contribute to an Open-Source AI Security Project

Show steps

Gain practical experience by contributing to real-world AI security projects.

Show steps

Find an open-source AI security project on GitHub or GitLab.
Identify a bug or feature to work on.
Submit a pull request with the fix or new feature.

Read 'Adversarial Machine Learning'

Show steps

Understand adversarial machine learning techniques to better protect AI/LLM systems from attacks.

View Alter Ego: A Novel on Amazon

Show steps

Read the book and take notes.
Implement some of the attacks and defenses described in the book.
Research recent papers on adversarial machine learning.

Career center

Learners who complete The Ultimate AI/LLM/ML Penetration Testing Training Course will develop knowledge and skills that may be useful to these careers:

Penetration Tester

A Penetration Tester, also known as a white-hat hacker, simulates cyberattacks on computer systems to identify vulnerabilities. This course directly helps aspiring Penetration Testers by providing training in the specific vulnerabilities found in AI/LLM/ML systems. With its focus on penetration testing and finding and exploiting AI/LLM/ML vulnerabilities, it provides practical skills that help one excel as a Penetration Tester. The coverage of OWASP Top 10 LLM vulnerabilities and walkthroughs of labs prepare you to identify and address real-world security flaws. You will also develop the skills to conduct thorough security assessments on AI-driven applications.

See salaries and explore the career path for Penetration Tester

Bug Bounty Hunter

A Bug Bounty Hunter identifies and reports software vulnerabilities to organizations in exchange for rewards. This course provides invaluable training for Bug Bounty Hunters looking to specialize in AI/LLM/ML systems. The hands-on labs, walkthroughs, and coverage of OWASP Top 10 LLM vulnerabilities will enable you to find and exploit security flaws in AI-powered applications. The practical knowledge gained from this course will significantly improve your success in bug bounty programs and contribute to the overall security of AI technologies.

See salaries and explore the career path for Bug Bounty Hunter

AI Security Specialist

An AI Security Specialist concentrates on securing artificial intelligence systems and machine learning models from attacks and vulnerabilities. This course helps you understand the unique risks associated with AI/LLM/ML systems, from prompt injection to model theft. The AI Security Specialist will learn how to implement security measures and best practices to protect AI applications. In particular, the real-world scenarios and lab exercises will help you think like an attacker, anticipate potential threats, and develop effective security strategies.

See salaries and explore the career path for AI Security Specialist

Cybersecurity Analyst

A Cybersecurity Analyst monitors and analyzes security events to identify and respond to cyber threats. This course is highly relevant for a Cybersecurity Analyst because it focuses on the specific vulnerabilities found in AI/LLM/ML systems. The course helps you to develop the skills to recognize and mitigate AI-related security incidents. The knowledge gained from this course will enhance your ability to protect organizations from emerging threats targeting AI technologies.

See salaries and explore the career path for Cybersecurity Analyst

Security Consultant

A Security Consultant advises organizations on how to improve their cybersecurity posture, which includes assessing risks and implementing security measures. This course provides a solid foundation for a Security Consultant specializing in AI/LLM/ML security, because it offers hands-on experience with penetration testing techniques and vulnerability analysis. This course's focus on the OWASP Top 10 LLM vulnerabilities and the many practical labs will allow you to deliver informed recommendations to clients and help them protect their AI-driven systems.

See salaries and explore the career path for Security Consultant

Application Security Engineer

An Application Security Engineer focuses on securing software applications by identifying and mitigating vulnerabilities throughout the development lifecycle. This course may be useful for an Application Security Engineer because it addresses the unique security challenges presented by AI/LLM/ML systems. The course helps you understand and apply techniques for finding and exploiting vulnerabilities, such as prompt injection and insecure output handling which are crucial for ensuring the security of AI-powered applications. The practical labs and walkthroughs will enable you to implement security best practices within your development workflows.

See salaries and explore the career path for Application Security Engineer

Cloud Security Engineer

A Cloud Security Engineer secures cloud-based systems and data. As more AI applications are deployed in the cloud, Cloud Security Engineers need to understand the specific security risks involved. This course may be helpful for a Cloud Security Engineer because it focuses on AI/LLM/ML vulnerabilities, such as insecure output handling and supply chain vulnerabilities, that can be exploited in cloud environments. The course helps you develop strategies for securing AI workloads in the cloud.

See salaries and explore the career path for Cloud Security Engineer

Software Developer

A Software Developer designs, codes, and tests software applications. As AI becomes more integrated into software, Software Developers need to understand the security risks involved. This course may be helpful to a Software Developer by providing insights into common AI/LLM/ML vulnerabilities and how to mitigate them. The focus on practical labs and real-world scenarios will enable you to write more secure code and protect your applications from attacks. The course helps you stay ahead of the curve in the rapidly evolving field of AI security.

See salaries and explore the career path for Software Developer

Security Operations Center Analyst

A Security Operations Center Analyst monitors and responds to security incidents. This course helps a Security Operations Center Analyst because it provides insights into the specific threats targeting AI/LLM/ML systems. By understanding the tactics and techniques used by attackers, you will enhance your ability to detect and respond to AI-related security incidents. The real-world scenarios and lab exercises will help you develop practical skills for analyzing security logs and identifying suspicious activity.

See salaries and explore the career path for Security Operations Center Analyst

Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. This course may be useful to a Machine Learning Engineer because it helps you understand the security implications of AI/LLM/ML systems, allowing you to build more secure and robust models. By learning about potential vulnerabilities such as training data poisoning and model theft, the Machine Learning Engineer gains insights into how to protect their work from malicious attacks. The knowledge gained from this course can inform the design and implementation of your machine learning projects.

See salaries and explore the career path for Machine Learning Engineer

Security Architect

A Security Architect designs and implements security systems for organizations. This course may be useful for a Security Architect looking to specialize in AI/LLM/ML security. The course provides a broad understanding of AI security challenges and helps a Security Architect make informed decisions about security technologies and architectures. The knowledge gained from this course will strengthen your ability to design robust and secure AI systems.

See salaries and explore the career path for Security Architect

Information Security Manager

An Information Security Manager is responsible for developing and implementing an organization's information security strategy. This course may be useful for an Information Security Manager because it provides a comprehensive overview of the security risks associated with AI/LLM/ML systems. By understanding these risks and vulnerabilities, Information Security Managers can make informed decisions about security policies and investments to protect their organizations from AI-related cyber threats. This course will enable you to lead your security team effectively in addressing the unique challenges of AI security.

See salaries and explore the career path for Information Security Manager

Risk Manager

A Risk Manager identifies and assesses potential risks to an organization's operations and assets. This course may be useful for a Risk Manager because it offers an overview of the security risks associated with AI/LLM/ML systems. By understanding these risks, a Risk Manager can develop strategies for mitigating the impact of potential cyberattacks targeting AI technologies. This course will enhance your ability to assess and manage the risks associated with AI adoption.

See salaries and explore the career path for Risk Manager

Data Scientist

A Data Scientist analyzes data to extract insights and develop data-driven solutions. This course may be useful for a Data Scientist because it helps you understand the security and privacy implications of AI/LLM/ML systems. By learning about vulnerabilities such as training data poisoning and sensitive data exposure, you can develop more responsible and ethical AI solutions. The knowledge gained from this course can inform your data handling practices and model development strategies.

See salaries and explore the career path for Data Scientist

Chief Information Security Officer

A Chief Information Security Officer is responsible for overseeing an organization's cybersecurity strategy and ensuring the protection of its information assets. This course may be useful for a Chief Information Security Officer because it provides comprehensive insights into the emerging security challenges posed by AI/LLM/ML systems. By understanding the threats and vulnerabilities, you can make informed decisions about security investments and policies to protect your organization from AI-related cyber risks. The course will enable you to lead your organization's AI security efforts effectively.

See salaries and explore the career path for Chief Information Security Officer

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in The Ultimate AI/LLM/ML Penetration Testing Training Course.

Hacking APIs

Save

Focuses on the security of APIs, which are commonly used to interact with AI/LLM systems. It covers various API attack techniques and defense strategies. Understanding API security is crucial for securing AI/LLM applications. This book valuable resource for those who want to learn how to protect APIs from attacks.

Hacking APIs: Breaking Web Application Programming...

Paperback

Hacking APIs: Breaking Web Application Programming...

Kindle Edition

Alter Ego

Save

Delves into the techniques used to attack and defend machine learning models. It covers topics such as evasion attacks, poisoning attacks, and model extraction. Understanding these adversarial techniques is essential for building robust and secure AI/LLM systems. This book provides a solid foundation for understanding the threats and defenses in the field of adversarial machine learning.

Alter Ego: A Novel

Paperback

The Ultimate AI/LLM/ML Penetration Testing Training Course

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Practical ai/llm security training

Activities

Career center

Reading list

Share

Similar courses