Mastering The Owasp Top 10 For Llm Applications
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 964.63 MB | Duration: 1h 27m
Navigate LLM Vulnerabilities: From Prompt Injection to Model Theft
[b]What you'll learn[/b]
Identify and understand the top 10 vulnerabilities of LLMs as classified by OWASP.
Implement practical mitigation strategies to protect LLMs from common security threats.
Perform security assessments and apply proactive defenses in LLM deployments
Conduct hands-on demonstrations to recognize and rectify security breaches in LLMs
[b]Requirements[/b]
No prior experience with OWASP needed; this course will cover all foundational aspects
[b]Description[/b]
Embark on a transformative journey into the heart of LLM security with our comprehensive course, "Mastering the OWASP Top 10 for LLMs." Designed for IT professionals, security analysts, and AI developers, this course delves deep into the most critical vulnerabilities identified by the Open Web Application Security Project (OWASP) specifically for Large Language Models (LLMs).Throughout this course, participants will gain a thorough understanding of each category listed in the OWASP Top 10 for LLMs. Starting with Prompt Injection and moving through to Model Theft, we explore the subtleties and complexities of vulnerabilities such as Insecure Output Handling, Training Data Poisoning, and Supply Chain Risks. Each module not only describes the risks but also articulates clear and effective mitigation strategies to safeguard your applications.What sets this course apart is its practical approach. For each vulnerability, we provide detailed demonstrations, showing firsthand how these security breaches can occur and how they can be countered. These live demos ensure that learners not only understand the theory but also how to apply this knowledge in real-world scenarios.In addition to exploring specific LLM vulnerabilities, participants will learn how to conduct risk assessments and implement robust security measures to prevent data leaks, unauthorized access, and other potential threats. By the end of this course, you will be equipped with the knowledge and skills to confidently navigate and secure the landscape of language model technologies.Join us to elevate your expertise in LLM security and stay ahead in the fast-evolving domain of artificial intelligence and machine learning. Secure your systems, protect your data, and lead your organization towards a safer digital future.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: LLM01
Lecture 2 LLM01 - Kali Linux Demo
Lecture 3 LLM01 - Gandalf-AI Demo
Section 3: LLM02
Lecture 4 LLM02 - Portswigger Lab Demo
Section 4: LLM03
Lecture 5 LLM03 - Demo
Section 5: LLM04
Lecture 6 LLM04 - Demo
Section 6: LLM05
Lecture 7 LLM05 - Demo
Section 7: LLM06
Lecture 8 LLM06 - Demo
Section 8: LLM07
Lecture 9 LLM07 - Demo
Section 9: LLM08
Lecture 10 LLM08 - Demo
Section 10: LLM09
Lecture 11 LLM09 - Demo
Section 11: LLM10
Lecture 12 LLM10 - Demo
Beginner to advanced security professionals aiming to secure AI and machine learning implementations,AI and machine learning enthusiasts, including beginners, interested in understanding and applying security practices,IT professionals and managers at all levels who need to safeguard AI technologies within their organizations,Students and academic researchers starting in cybersecurity, focusing on the intersection of AI and security
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