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.
Requirements:
Willingness to learn cool stuff!
Basic IT Knowledge
Description:
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.
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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