Securing GenAI Systems: The OWASP LLM Top Ten

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1. Introduction

1. Introduction.mp4

01:42

2. Course Structure.mp4

01:40

3. Resources.mp4

01:11

4. Ethics.mp4

00:55

2. Foundation Concepts

1. AI Foundations.mp4

06:59

2. The OWASP LLM Top Ten.mp4

07:36

3. Common Themes Across the Top Ten.mp4

05:00

3. Prompt Injection

1.1 Notes - Prompt Injection.pdf

1. OWASP LLM #1 Prompt Injection.mp4

02:26

2. Understanding the Vulnerability.mp4

02:27

3. Threat and Defense.mp4

02:52

4. Quiz - Prompt Injection.html

4. Insecure Output Handling

1.1 Notes - Insecure Output Handling.pdf

1. OWASP LLM #2 Insecure Output Handling.mp4

02:28

2. Understanding the Vulnerability.mp4

01:44

3. Threat and Defense.mp4

02:42

4. Quiz - Insecure Output Handling.html

5. Training Data Poisoning

1.1 Notes - Poisoned Training Data.pdf

1. OWASP LLM #3 Training Data Poisoning.mp4

01:16

2. Understanding the Vulnerability.mp4

01:57

3. Threat and Defense.mp4

03:41

4. Quiz - Training Data Poisoning.html

6. Model Denial of Service

1.1 Notes - Model Denial of Service.pdf

1. OWASP LLM #4 Model Denial of Service.mp4

01:48

2. Understanding the Vulnerability.mp4

02:01

3. Threat and Defense.mp4

02:56

4. Quiz - Model Denial of Service.html

7. Supply Chain Vulnerabilities

1.1 Notes - Supply Chain Vulnerabilities.pdf

1. OWASP LLM #5 Supply Chain Vulnerabilities.mp4

00:51

2. Understanding the Vulnerability.mp4

02:17

3. Threat and Defense.mp4

04:43

4. Quiz - Supply Chain Vulnerabilities.html

8. Sensitive Information Disclosure

1.1 Notes - Sensitive Information Disclosure.pdf

1. OWASP LLM #6 Sensitive Information Disclosure.mp4

02:01

2. Understanding the Vulnerability.mp4

02:09

3. Threat and Defense.mp4

02:58

4. Quiz - Sensitive Information Disclosure.html

9. Insecure Plugin Design

1.1 Notes - Insecure Plugin Design.pdf

1. OWASP LLM #7 Insecure Plugin Design.mp4

01:49

2. Understanding the Vulnerability.mp4

02:19

3. Threat and Defense.mp4

03:57

4. Quiz - Insecure Plugin Design.html

10. Excessive Agency

1.1 Notes - Excessive Agency.pdf

1. OWASP LLM #8 Excessive Agency.mp4

01:29

2. Understanding the Vulnerability.mp4

02:45

3. Threat and Defense.mp4

04:00

4. Quiz - Excessive Agency.html

11. Overreliance

1.1 Notes - Overreliance.pdf

1. OWASP LLM #9 Overreliance.mp4

01:24

2. Understanding the Vulnerability.mp4

01:41

3. Threat and Defense.mp4

03:46

4. Quiz - Overreliance.html

12. Model Theft

1.1 Notes - Model Theft.pdf

1. OWASP LLM #10 Model Theft.mp4

01:18

2. Understanding the Vulnerability.mp4

03:25

3. Threat and Defense.mp4

02:34

4. Quiz - Model Theft.html

13. Conclusion

1. Summary and Thank You.mp4

02:06

Description

If your company needs security awareness training for AI - then look no further!

What You'll Learn?

Improve your security awareness of AI systems and the vulnerabilities that can impact them
Students will learn about some of the most common vulnerabilities that are found in AI systems
Learn where to spot these vulnerabilities in your AI ecosystem
Understand the threats these vulnerabilities pose to your applications and users
Discover steps to take that can mitigate the impact of these vulnerabilities and help your AI software operate in a safe manner
Learn about common these seen across vulnerabilities and AI security practices

Who is this for?

Anyone interesting in learning about securing GenAI systems

Development Teams that need security aware training for AI

Security Engineers

Security Architects

What You Need to Know?

An understanding of basic computing and software concepts is helpful

More details

Description
In the rapidly evolving landscape of Artificial Intelligence (AI) and Machine Learning (ML), ensuring the security of these systems is paramount. This course delves into the intersection of AI and cybersecurity, focusing on the OWASP LLM (Large Language Model) Top Ten vulnerabilities as a way to drive the conversation.

If your company needs security awareness for your AI and development teams...then you'll see the value in this course!

The course begins with an exploration of the fundamental concepts of AI and ML, providing participants with a solid understanding of how these technologies work and their significance in various domains. From there, the focus shifts to the security aspect, introducing the OWASP Top Ten vulnerabilities specific to AI and ML systems.

Throughout the course, participants will:
Explore OWASP LLM Top Ten: Gain insights into the most prevalent security risks and misconfigurations affecting AI and ML systems, as identified by OWASP.

Understand Threat Scenarios: Delve into real-world scenarios where AI and ML systems are vulnerable to exploitation, understanding the potential impact of security breaches on organizations and society.

Learn Mitigation Techniques: Acquire knowledge on mitigating OWASP LLM Top Ten vulnerabilities through a combination of best practices, security tools, and robust development methodologies.

Who Should Attend:
This course is designed for AI/ML practitioners, cybersecurity professionals, software developers, system architects, and anyone involved in the development, deployment, or management of AI and ML systems. It is suitable for individuals seeking to enhance their understanding of AI/ML security and mitigate risks within their organizations.

Prerequisites:
Familiarity with basic concepts of AI/ML and cybersecurity is recommended but not required. Participants should have a keen interest in understanding and improving the security posture of AI and ML systems.

The course is structured as a self-paced online learning experience, allowing participants to progress through the material at their own convenience.

Enroll today to embark on a journey towards understanding key aspects of securing GenAI against common vulnerabilities, safeguarding the future of AI applications.
Who this course is for:
Anyone interesting in learning about securing GenAI systems
Development Teams that need security aware training for AI
Security Engineers
Security Architects

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