OWASP Top 10 for Large Language Models
Christopher Nett
1:53:20
Description
Learn the OWASP Top 10 for LLMs | Gain knowledge on AI Security | Hacking generative AI | Including 4 Hands-on Demos
What You'll Learn?
- Learn the OWASP Top 10 for LLMs
- Explore the foundational principles of the Open Web Application Security Project.
- Understand the core architecture, functionality, and risks associated with Large Language Models.
- Learn to identify and mitigate vulnerabilities from malicious inputs that can alter LLM behavior.
- Ensure safe handling and rendering of LLM outputs to prevent unintended data leaks.
- Prevent and respond to attacks aiming to corrupt the data used to train LLMs.
- Tackle threats that aim to overload or disrupt LLM services, ensuring availability.
- Address risks introduced through third-party services and dependencies.
- Prevent unintended exposure of sensitive data through LLM interactions.
- Securely design and implement plugins or extensions.
- Manage and limit the autonomous decision-making capabilities of LLMs.
- Educate on the risks and limitations of over-dependence on LLM.
- Protect LLM intellectual property from unauthorized access and duplication.
Who is this for?
What You Need to Know?
More details
DescriptionOWASP Top 10 for LLMs by Christopher Nett is a meticulously organized Udemy course designed for IT professionals aiming to master the OWASP Top 10 for LLMs to build, protect and exploit Large Language Models. This course systematically guides you from the basis to advanced concepts of the OWASP Top 10 for LLMs.
By mastering the OWASP Top 10 for LLMs, you're developing expertise in essential topics in today's cybersecurity landscape. Through this course, you'll develop expertise in attacking and securing LLMs, a comprehensive and complex topic widely recognized in the industry.
This deep dive into the OWASP Top 10 for LLMs equips you with the skills necessary for a cutting-edge career in cybersecurity.
Key Benefits for you:
OWASP Basics: Explore the foundational principles of the Open Web Application Security Project.
LLMs Basics: Understand the core architecture, functionality, and risks associated with Large Language Models.
LLM01 - Prompt Injection: Learn to identify and mitigate vulnerabilities from malicious inputs that can alter LLM behavior.
LLM02 - Insecure Output Handling: Ensure safe handling and rendering of LLM outputs to prevent unintended data leaks.
LLM03 - Training Data Poisoning: Prevent and respond to attacks aiming to corrupt the data used to train LLMs.
LLM04 - Model Denial of Service: Tackle threats that aim to overload or disrupt LLM services, ensuring availability.
LLM05 - Supply Chain Vulnerabilities: Address risks introduced through third-party services and dependencies.
LLM06 - Sensitive Information Disclosure: Prevent unintended exposure of sensitive data through LLM interactions.
LLM07 - Insecure Plugin Design: Securely design and implement plugins or extensions.
LLM08 - Excessive Agency: Manage and limit the autonomous decision-making capabilities of LLMs.
LLM09 - Overreliance: Educate on the risks and limitations of over-dependence on LLM.
LLM10 - Model Theft: Protect LLM intellectual property from unauthorized access and duplication.
IMPORTANT: This course does not come with a demo for all 10 OWASP risks since it is not feasible to effectively create a demo for risks such as LLM04 - Denial of Service or LLM10 - Model Theft.
The following risks have a demo included in their respective section:
LLM01 - Prompt Injection
LLM02 - Insecure Handling Output
LLM05 - Supply Chain Vulnerabilities
LLM08 - Excessive Agency
Who this course is for:
- SOC Analyst
- Security Engineer
- Security Consultant
- Security Architect
- Security Manager
- CISO
- Red Team
- Blue Team
- Cybersecurity Professional
- Ethical Hacker
- Penetration Tester
- Incident Handler
- Prompt Engineer
- AI Security Consultant
OWASP Top 10 for LLMs by Christopher Nett is a meticulously organized Udemy course designed for IT professionals aiming to master the OWASP Top 10 for LLMs to build, protect and exploit Large Language Models. This course systematically guides you from the basis to advanced concepts of the OWASP Top 10 for LLMs.
By mastering the OWASP Top 10 for LLMs, you're developing expertise in essential topics in today's cybersecurity landscape. Through this course, you'll develop expertise in attacking and securing LLMs, a comprehensive and complex topic widely recognized in the industry.
This deep dive into the OWASP Top 10 for LLMs equips you with the skills necessary for a cutting-edge career in cybersecurity.
Key Benefits for you:
OWASP Basics: Explore the foundational principles of the Open Web Application Security Project.
LLMs Basics: Understand the core architecture, functionality, and risks associated with Large Language Models.
LLM01 - Prompt Injection: Learn to identify and mitigate vulnerabilities from malicious inputs that can alter LLM behavior.
LLM02 - Insecure Output Handling: Ensure safe handling and rendering of LLM outputs to prevent unintended data leaks.
LLM03 - Training Data Poisoning: Prevent and respond to attacks aiming to corrupt the data used to train LLMs.
LLM04 - Model Denial of Service: Tackle threats that aim to overload or disrupt LLM services, ensuring availability.
LLM05 - Supply Chain Vulnerabilities: Address risks introduced through third-party services and dependencies.
LLM06 - Sensitive Information Disclosure: Prevent unintended exposure of sensitive data through LLM interactions.
LLM07 - Insecure Plugin Design: Securely design and implement plugins or extensions.
LLM08 - Excessive Agency: Manage and limit the autonomous decision-making capabilities of LLMs.
LLM09 - Overreliance: Educate on the risks and limitations of over-dependence on LLM.
LLM10 - Model Theft: Protect LLM intellectual property from unauthorized access and duplication.
IMPORTANT: This course does not come with a demo for all 10 OWASP risks since it is not feasible to effectively create a demo for risks such as LLM04 - Denial of Service or LLM10 - Model Theft.
The following risks have a demo included in their respective section:
LLM01 - Prompt Injection
LLM02 - Insecure Handling Output
LLM05 - Supply Chain Vulnerabilities
LLM08 - Excessive Agency
Who this course is for:
- SOC Analyst
- Security Engineer
- Security Consultant
- Security Architect
- Security Manager
- CISO
- Red Team
- Blue Team
- Cybersecurity Professional
- Ethical Hacker
- Penetration Tester
- Incident Handler
- Prompt Engineer
- AI Security Consultant
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Christopher Nett
Instructor's Courses
Udemy
View courses Udemy- language english
- Training sessions 34
- duration 1:53:20
- Release Date 2024/07/22
