Udemy - Pentesting GenAI LLM models - Securing Large Language Models

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  • TypeTutorials
  • LanguageEnglish
  • Total size1.6 GB
  • Uploaded Byfreecoursewb
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  • Last checkedMay. 02nd '25
  • Date uploadedMay. 01st '25
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Pentesting GenAI LLM models: Securing Large Language Models

https://WebToolTip.com

Published 4/2025
Created by Start-Tech Trainings
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 51 Lectures ( 3h 16m ) | Size: 1.6 GB

Master LLM Security: Penetration Testing, Red Teaming & MITRE ATT&CK for Secure Large Language Models

What you'll learn
Understand the unique vulnerabilities of large language models (LLMs) in real-world applications.
Explore key penetration testing concepts and how they apply to generative AI systems.
Master the red teaming process for LLMs using hands-on techniques and real attack simulations.
Analyze why traditional benchmarks fall short in GenAI security and learn better evaluation methods.
Dive into core vulnerabilities such as prompt injection, hallucinations, biased responses, and more.
Use the MITRE ATT&CK framework to map out adversarial tactics targeting LLMs.
Identify and mitigate model-specific threats like excessive agency, model theft, and insecure output handling.
Conduct and report on exploitation findings for LLM-based applications.

Requirements
Basic understanding of IT or cybersecurity Curiosity about AI systems and their real-world impact No prior knowledge of penetration testing or LLMs required

Files:

[ FreeCourseWeb.com ] Udemy - Pentesting GenAI LLM models - Securing Large Language Models
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 -Introduction and Course resource.mp4 (23.5 MB)
    • 1 -LLM PENTEST.pptx (10.6 MB)
    2 - Introduction to LLM Security & Penetration Testing
    • 1 -What is Penetration Testing.mp4 (31.5 MB)
    • 2 -Why LLMs Are Vulnerable.mp4 (19.1 MB)
    3 - Overview of LLM Vulnerabilities
    • 1 -Why Benchmarks Are Not Enough AI Safety & Security.mp4 (14.4 MB)
    • 10 -Demo LLM Application Overview.mp4 (6.8 MB)
    • 11 -Importing the LLM Application.mp4 (7.3 MB)
    • 2 -Ai Application vulnerabilities.ipynb (14.0 KB)
    • 2 -LLM Application Vulnerabilities - Demo 01 (Code Explanation).mp4 (22.4 MB)
    • 3 -LLM Application Vulnerabilities - Demo 02 (Biased and Stereotypes).mp4 (39.2 MB)
    • 4 -LLM Application Vulnerabilities - Demo 03 (Sensitive Data Disclosure).mp4 (37.3 MB)
    • 5 -LLM Application Vulnerabilities - Demo 04 (Service Disruption).mp4 (12.5 MB)
    • 6 -LLM Application Vulnerabilities - Demo - 05 (Hallucination).mp4 (33.8 MB)
    • 7 -Foundation Models vs. LLM Apps.mp4 (17.6 MB)
    • 8 -Strategies for LLM Application Safety.mp4 (18.0 MB)
    • 9 -Examining LLM Vulnerabilities.mp4 (14.3 MB)
    4 - Penetration Testing & Red Teaming Fundamentals
    • 1 -Why Penetration Testing is Essential for GenAI.mp4 (30.3 MB)
    • 2 -Comparing Red Teaming and Penetration Testing.mp4 (27.7 MB)
    • 3 -Penetration Testing Process.mp4 (23.2 MB)
    • 4 -Exploitation.mp4 (20.1 MB)
    • 5 -Post-Exploitation.mp4 (31.5 MB)
    5 - Red Teaming for LLMs
    • 1 -Red Teaming LLMs Five Key Techniques.mp4 (107.8 MB)
    6 - Reporting & Mitigation Strategies
    • 1 -Reporting.mp4 (10.4 MB)
    • 2 -Remediation and Reporting.mp4 (27.2 MB)
    7 - MITRE ATT&CK Framework for LLMs
    • 1 -What is ATT&CK.mp4 (24.8 MB)
    • 10 -Exploring ATT&CK Groups.mp4 (20.1 MB)
    • 11 -Software in the ATT&CK Framework.mp4 (15.6 MB)
    • 12 -Campaigns Overview.mp4 (22.1 MB)
    • 13 -ATT&CK Relationships.mp4 (15.1 MB)
    • 14 -ATT&CK Enterprise Matrix - Hands-On.mp4 (200.6 MB)
    • 2 -Understanding the Pyramid of Pain.mp4 (56.2 MB)
    • 3 -Overview of ATT&CK Matrices.mp4 (11.0 MB)
    • 4 -ATT&CK Tactics.mp4 (73.6 MB)
    • 5 -ATT&CK Techniques.mp4 (29.7 MB)
    • 6 -ATT&CK Subtechniques.mp4 (43.2 MB)
    • 7 -Data Sources for ATT&CK.mp4 (15.3 MB)
    • 8 -Detection Strategies.mp4 (17.6 MB)
    • 9 -Implementing Mitigation Techniques.mp4 (20.3 MB)
    8 - LLM Application Vulnerabilities
    • 1 -Prompt Injection.mp4 (18.1 MB)
    • 10 -Plugin Security LLM Applications.mp4 (21.1 MB)
    • 11 -Excessive Agency.mp4 (27.3 MB)
    • 12 -Overreliance.mp4 (35.5 MB)
    • 13 -Model Theft.mp4 (16.0 MB)
    • 2 -Indirect Prompt Injection Demo.mp4 (122.3 MB)
    • 2 -Indirect Prompt Injection Lab Access.url (0.1 KB)
    • 3 -Insecure Output Handling Theory.mp4 (26.6 MB)
    • 4 -Insecure Output Handling Demo.mp4 (89.5 MB)
    • 4 -Insecure Output Handling Lab Access.url (0.1 KB)
    • 5 -Supply Chain Vulnerabilities.mp4 (22.7 MB)
    • 6 -Model Denial of Service (DoS).mp4 (42.3 MB)
    • 7 -Stop Model DOS Attack.mp4 (16.5 MB)
    • 8 -Training Data Poisoning.mp4 (26.5 MB)
    • 9 -Sensitive Information Disclosure.mp4 (30.1 MB)
    9 - Conclusion
    • 1 - About your certificate.html (0.9 KB)
    • 1 - Bonus lecture.html (6.3 KB)
    • Bonus Resources.txt (0.1 KB)

Code:

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