| 1 -Introduction Course Wrap-Up & LLM Cybersecurity Career Tips.mp4 | 9.6 MB | ||
| 1 -Introduction to LLM Attack Surfaces What Gets Exposed and Why It Matters.mp4 | 6.6 MB | ||
| 1 -Introduction to LLM System Architecture What’s Inside a Large Language Model.mp4 | 3.6 MB | ||
| 1 -Introduction to MITRE ATLAS for LLM Security.mp4 | 10.7 MB | ||
| 1 -Introduction to Section 4 OWASP Top 10 for LLMs.mp4 | 6.8 MB | ||
| 1 -PortSwigger Lab Introduction Exploiting LLM APIs with Excessive Agency.mp4 | 13.1 MB | ||
| 1 -Section 5 Introduction LLM API Security & Live Demo Preview.mp4 | 11.5 MB | ||
| 1 -Section Introduction What You’ll Learn About Large Language Models (LLMs).mp4 | 9 MB | ||
| 1 -Welcome to the Course + Instructor Intro + What You’ll Learn.mp4 | 22.9 MB | ||
| 10 -Training Data Poisoning Case Study How Microsoft Tay Was Manipulated on Twitter.mp4 | 35.7 MB | ||
| 10 -Understanding Multi-Head Attention in Transformers Multiple Views of Language.mp4 | 24.5 MB | ||
| 11 -Inference and Log Data Exposure DeepSeek’s AI Leak Case Study.mp4 | 40.7 MB | ||
| 11 -Summary of Transformer Innovations Key Concepts Behind LLMs.mp4 | 29.5 MB | ||
| 12 -How Transformers Power Foundation Models and LLMs.mp4 | 12.1 MB | ||
| 12 -LLM Model Exposure How Misconfigured Ollama APIs Opened the Door.mp4 | 26.2 MB | ||
| 13 -LLM Providers vs. Organizations Who Secures What.mp4 | 19 MB | ||
| 13 -Types of LLMs Use Cases and the Modern AI Ecosystem.mp4 | 12.6 MB | ||
| 14 -Challenges and Risks of Large Language Models (LLMs).mp4 | 22.7 MB | ||
| 14 -Section 3 Wrap-Up LLM Attack Surface Lessons + What’s Next with OWASP Top 10.mp4 | 28.9 MB | ||
| 15 -Wrapping Up Section 1 Deep Dive into Large Language Models (LLMs).mp4 | 24.2 MB | ||
| 2 -Course Recap What You’ve Learned in LLM Cybersecurity.mp4 | 16.3 MB | ||
| 2 -From LLM Model to Full LLM System Understanding the Architecture Behind AI.mp4 | 5.5 MB | ||
| 2 -LLM_API_Security_Lab_Setup_Guide (1).docx | 39.2 KB | ||
| 2 -Lab Demo – Exploiting LLM APIs with Excessive Agency (PortSwigger).mp4 | 47.1 MB | ||
| 2 -Lab Setup Insecure Ollama API on Azure VM Explained.mp4 | 12.6 MB | ||
| 2 -Mapping AI Threats with MITRE ATLAS OpenAI vs. DeepSeek Case Study.mp4 | 148.8 MB | ||
| 2 -OWASP Top 10 Risks for LLMs + Case Study Mapping.mp4 | 50.2 MB | ||
| 2 -Understanding the Concept of Attack Surfaces in Cybersecurity.mp4 | 5.2 MB | ||
| 2 -What Are LLMs Understanding Large Language Models Explained.mp4 | 15.4 MB | ||
| 3 -Anatomy of an LLM System Understanding the Full Architecture Beyond the Model.mp4 | 8.7 MB | ||
| 3 -Hands-On Demo Exploiting an Insecure Ollama API Setup.mp4 | 128.7 MB | ||
| 3 -How Integration and Growth Expand Your Cybersecurity Attack Surface.mp4 | 6.7 MB | ||
| 3 -How to Access and Practice the PortSwigger LLM Lab Yourself.mp4 | 15.3 MB | ||
| 3 -LLM_API_Security_Lab_Setup_Guide (1).docx | 39.2 KB | ||
| 3 -Where Large Language Models Fit in the Generative AI Landscape.mp4 | 25.6 MB | ||
| 3 -Wrap-Up MITRE ATLAS in Action + What’s Next in PortSwigger Labs.mp4 | 10.2 MB | ||
| 4 -Evolution of LLMs From Early Neural Networks to Transformers.mp4 | 19.7 MB | ||
| 4 -Hacking the AI Mindset How to Think Like a LLM Security Expert.mp4 | 10.1 MB | ||
| 4 -Ollama in the Wild Real-World Exposure via Shodan + Developer Risk Behavior.mp4 | 42.8 MB | ||
| 4 -Section Summary LLM Lab Exploitation Takeaways + What’s Next.mp4 | 9.6 MB | ||
| 4 -The AI Model Layer Core Intelligence Behind Large Language Models.mp4 | 5.1 MB | ||
| 4 -Why Publicly Exposed Systems Face Higher Cybersecurity Risks.mp4 | 11.4 MB | ||
| 5 -Mastering LLM Security Frameworks OWASP, MITRE, and More.mp4 | 8.5 MB | ||
| 5 -Mitigation Setup Securing Ollama API with NGINX Reverse Proxy.mp4 | 14.4 MB | ||
| 5 -OLAMA_API_Authentication_With_NGINX_Windows_Lab_Guide.docx | 39.3 KB | ||
| 5 -The Infrastructure Layer of LLM Systems Powering and Securing the Core.mp4 | 13.4 MB | ||
| 5 -Understanding Convolutional Neural Networks for Image Recognition.mp4 | 19.7 MB | ||
| 5 -Why Large Language Models Have Bigger and Riskier Attack Surfaces.mp4 | 21 MB | ||
| 6 -Analyzing LLM Attack Surfaces User Organizations vs Model Providers.mp4 | 11 MB | ||
| 6 -Hands-On Practice for LLM Security Tools, Labs, and Simulations.mp4 | 7.4 MB | ||
| 6 -LLM Processing Unit Explained Inference Handling, Prompt Cntrl & Runtime Logic.mp4 | 42.9 MB | ||
| 6 -Mitigating OLAMA API Risks with NGINX Authentication (Hands-On Demo).mp4 | 77.3 MB | ||
| 6 -OLAMA_API_Authentication_With_NGINX_Windows_Lab_Guide.docx | 39.3 KB | ||
| 6 -Understanding Recurrent Neural Networks (RNNs) for Language Processing.mp4 | 38.9 MB | ||
| 7 -Build Your Presence in GenAI Security Branding, Blogging & Research Tips.mp4 | 10.9 MB | ||
| 7 -How One Misconfigured LLM API Triggers Multiple OWASP Risks.mp4 | 25.5 MB | ||
| 7 -How Transformers and LLMs Revolutionized Language Processing.mp4 | 26.4 MB | ||
| 7 -Scenario 1 LLM Attack Surfaces in Organizations Using AI Models.mp4 | 25.3 MB | ||
| 7 -Understanding the Integration Layer APIs, SDKs, and Plugins in LLM Systems.mp4 | 22.2 MB | ||
| 8 -Final Motivation Why You’re Ready for a Career in LLM Security.mp4 | 7.1 MB | ||
| 8 -How Positional Encodings Help Transformers Understand Word Order.mp4 | 9.1 MB | ||
| 8 -Prompt Injection Demonstration How a $1 Chevy Tahoe Chatbot Reply Went Viral.mp4 | 28.4 MB | ||
| 8 -The Application Layer How Users Interact with LLM Systems.mp4 | 23.8 MB | ||
| 8 -Wrap-Up LLM API Exposure, Mitigation & OWASP Risk Summary.mp4 | 16 MB | ||
| 9 -Course Wrap-Up Thank You and Final Reflections.mp4 | 15.8 MB | ||
| 9 -How Self-Attention Builds Rich Contextual Understanding in Transformers.mp4 | 69.1 MB | ||
| 9 -LLM System Summary & Preparing for Attack Surface Analysis.mp4 | 22.3 MB | ||
| 9 -Scenario 2 Deep Dive into LLM Attack Surfaces from the Provider Side.mp4 | 46.3 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 70 total files | |||
GenAI Cybersecurity: OWASP Top 10, MITRE ATLAS & API Attacks
https://WebToolTip.com
Published 5/2025
Created by Tejwant Singh
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 65 Lectures ( 3h 28m ) | Size: 1.53 GB
Master GenAI cybersecurity, OWASP Top 10, MITRE ATLAS mappings, and API attack techniques – practical s included.
What you'll learn
Understand the core concepts of Large Language Models (LLMs) with real-world examples and security implications.
Break down the architecture of an LLM system, including layers like Application, Integration, Model, and Infrastructure.
Identify key attack surfaces in LLM systems and explore vulnerabilities introduced by APIs, public exposure, and misconfigurations.
Map real-world incidents (like OpenAI vs. DeepSeek) to MITRE ATT&CK/ATLAS frameworks and extract security lessons.
Perform hands-on security testing on LLM APIs using tools like curl browser and simulate common LLM attacks.
Learn practical lab skills through PortSwigger exercises focused on LLM security.
Requirements
No prior cybersecurity or AI experience required.
This course is beginner-friendly and includes step-by-step explanations, real examples, and lab walkthroughs.
Familiarity with basic tech concepts (browsers, APIs) is helpful but not mandatory.
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