Owasp Top 10 For Llms
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 416.10 MB | Duration: 1h 54m
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 416.10 MB | Duration: 1h 54m
Learn the OWASP Top 10 for LLMs | Gain knowledge on AI Security
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.
Overview
Section 1: Introduction
Lecture 1 Welcome
Lecture 2 Course Slides
Lecture 3 IMPORTANT - Basics
Lecture 4 IMPORTANT - Demos
Section 2: Basics - Large Language Models (LLMs)
Lecture 5 What is an LLM?
Lecture 6 What is a Prompt?
Lecture 7 Architecture of an LLM
Section 3: Basics - OWASP
Lecture 8 What is OWASP?
Lecture 9 OWASP Top 10 - Web Application Security Risks
Lecture 10 OWASP Top 10 - API Security Risks
Lecture 11 OWASP Top 10 - LLM Security Risks
Section 4: LLM01: Prompt Injection
Lecture 12 Prompt Injection
Lecture 13 Countermeasures
Lecture 14 Lab Setup
Lecture 15 Demo
Section 5: LLM02: Insecure Handling Output
Lecture 16 Insecure Handling Output
Lecture 17 Countermeasures
Lecture 18 Demo
Section 6: LLM03: Training Data Poisoning
Lecture 19 Training Data Poisoning
Lecture 20 Countermeasures
Section 7: LLM04: Model Denial of Service
Lecture 21 Model Denial of Service
Lecture 22 Countermeasures
Section 8: LLM05: Supply Chain Vulnerabilities
Lecture 23 Supply Chain Vulnerabilities
Lecture 24 Countermeasures
Lecture 25 Demo
Section 9: LLM06: Sensitive Information Disclosure
Lecture 26 Sensitive Information Disclosure
Lecture 27 Countermeasures
Section 10: LLM07: Insecure Plugin Design
Lecture 28 Insecure Plugin Design
Lecture 29 Countermeasures
Section 11: LLM08: Excessive Agency
Lecture 30 Excessive Agency
Lecture 31 Countermeasures
Lecture 32 Demo
Section 12: LLM09: Overreliance
Lecture 33 Overreliance
Lecture 34 Countermeasures
Section 13: LLM10: Model Theft
Lecture 35 Model Theft
Lecture 36 Countermeasures
Section 14: Bonus
Lecture 37 Bonus
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