| 1 -Common examples of vulnerabilities(PII leakage, proprietary algorithm exposure.).mp4 | 78.7 MB | ||
| 1 -Detailed explanation of prompt injection vulnerabilities.mp4 | 42.3 MB | ||
| 1 -Introduction to LLMs and their applications.mp4 | 53.1 MB | ||
| 1 -Risks associated with excessive and uncontrolled LLM usage.mp4 | 55.2 MB | ||
| 1 -Risks associated with improper handling of LLM outputs.mp4 | 49.2 MB | ||
| 1 -Summary of key security principles for LLM applications.mp4 | 37.2 MB | ||
| 1 -Supply chain vulnerabilities in LLM development and deployment.mp4 | 109 MB | ||
| 1 -The concept of agency in LLM systems and associated risks.mp4 | 57.3 MB | ||
| 1 -The issue of misinformation generated by LLMs.mp4 | 78.8 MB | ||
| 1 -Understanding data and model poisoning attacks.mp4 | 29.2 MB | ||
| 1 -Vulnerabilities related to vector and embedding usage in LLM applications.mp4 | 44 MB | ||
| 1 -Vulnerability of system prompt leakage.mp4 | 34.4 MB | ||
| 2 -Causes and potential impacts of misinformation.mp4 | 96.4 MB | ||
| 2 -Emerging trends and future challenges in LLM security.mp4 | 48.6 MB | ||
| 2 -How poisoning can impact LLM behavior and security.mp4 | 44.7 MB | ||
| 2 -Overview of security challenges specific to LLM applications.mp4 | 28.2 MB | ||
| 2 -Prevention and mitigation strategies for supply chain risks.mp4 | 50.5 MB | ||
| 2 -Risks associated with exposing system prompts.mp4 | 36.6 MB | ||
| 2 -Risks of excessive functionality, permissions, and autonomy.mp4 | 52.6 MB | ||
| 2 -Risks of unauthorized access, data leakage, and poisoning.mp4 | 53.3 MB | ||
| 2 -Types of prompt injection (direct and indirect).mp4 | 52.5 MB | ||
| 2 -Understanding the risks of sensitive information disclosure in LLM applications.mp4 | 102.2 MB | ||
| 2 -Vulnerabilities such as XSS, SQL injection, and remote code execution.mp4 | 41.6 MB | ||
| 2 -Vulnerabilities that can lead to denial of service, economic losses, etc.mp4 | 60.5 MB | ||
| 3 -Introduction to the OWASP Top 10 LLM Applications list.mp4 | 39.8 MB | ||
| 3 -Potential impacts of prompt injection attacks.mp4 | 60.1 MB | ||
| 3 -Prevention and mitigation strategies (sanitization, access controls, etc.).mp4 | 60.6 MB | ||
| 3 -Prevention and mitigation strategies.mp4 | 47.7 MB | ||
| 3 -Resources and further learning.mp4 | 38.1 MB | ||
| 3 -SBOMs in detail explanation of Software Bill of Materials (SBOMs) and their imp.mp4 | 52.3 MB | ||
| 4 -Agentic systems explanation of LLM agents, their benefits, and risks.mp4 | 41.4 MB | ||
| 4 -Data minimization importance of minimizing sensitive data collection.mp4 | 44.8 MB | ||
| 4 -Economic denial of service.mp4 | 42.4 MB | ||
| 4 -Embedding security details on securing vector databases and embeddings.mp4 | 48.4 MB | ||
| 4 -Importance of secure LLM development and deployment.mp4 | 45.8 MB | ||
| 4 -Model provenance challenges difficulties in verifying the origin and integrity.mp4 | 46 MB | ||
| 4 -Output encoding examples code examples for different contexts (e.g., HTML, SQL).mp4 | 41.6 MB | ||
| 4 -Poisoning scenarios across the lifecycle poisoning in training and fine-tuning.mp4 | 47.6 MB | ||
| 4 -Prevention and mitigation strategies.mp4 | 59.2 MB | ||
| 4 -Prompt engineering risks how prompt engineering can extract system prompts.mp4 | 40.9 MB | ||
| 4 -Secure LLM development lifecycle integrating security into every stage.mp4 | 45.9 MB | ||
| 4 -The spectrum of misinformation.mp4 | 82 MB | ||
| 5 -Backdoor attacks detail on how backdoors are inserted.mp4 | 40.6 MB | ||
| 5 -Defense in depth for prompts.mp4 | 54.6 MB | ||
| 5 -Emerging technologies.mp4 | 57.1 MB | ||
| 5 -Evolution of prompt injection techniques and their increasing sophistication.mp4 | 53.4 MB | ||
| 5 -Governance and policy importance of clear policies for using third-party LLMs.mp4 | 46.7 MB | ||
| 5 -Impact on specific domains.mp4 | 99.4 MB | ||
| 5 -Least privilege in depth detailed guidance on implementing least privilege.mp4 | 64 MB | ||
| 5 -Privacy-enhancing technologies - PET.mp4 | 58.8 MB | ||
| 5 -RAG security best practices.mp4 | 58 MB | ||
| 5 -Rate limiting strategies.mp4 | 44.1 MB | ||
| 5 -Real-world case studies of successfulunsuccessful LLM implementations.mp4 | 68.9 MB | ||
| 5 -Real-world exploits detail cases where improper output handling led to breaches.mp4 | 53.2 MB | ||
| 6 -Authorization frameworks best practices for managing authorization in LLM.mp4 | 44.6 MB | ||
| 6 -Common LLM application architectures (e.g., RAG).mp4 | 69.2 MB | ||
| 6 -Detection and mitigation techniques.mp4 | 112.6 MB | ||
| 6 -Emerging research.mp4 | 57.9 MB | ||
| 6 -Impact deep dive specific examples.mp4 | 64.9 MB | ||
| 6 -Legal and compliance legal implications of sensitive data disclosure.mp4 | 68.8 MB | ||
| 6 -Model extraction defenses.mp4 | 52 MB | ||
| 6 -Robustness testing need for rigorous testing to detect poisoning effects.mp4 | 45.1 MB | ||
| 6 -Secure design principles.mp4 | 52.4 MB | ||
| 6 -The role of standards and regulations.mp4 | 49.8 MB | ||
| 7 -Defense-in-depth combining input validation, output filtering, and human review.mp4 | 58.3 MB | ||
| 7 -The threat landscape motivations of attackers targeting LLM applications.mp4 | 58 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 74 total files | |||
OWASP Top 10 for LLM Applications (2025)
https://WebToolTip.com
Published 5/2025
Created by Cyberdefense Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 72 Lectures ( 6h 5m ) | Size: 3.86 GB
LLM Security in Practice
What you'll learn
Understand the top 10 security risks in LLM-based applications, as defined by the OWASP LLM Top 10 (2025).
Identify real-world vulnerabilities like prompt injection, model poisoning, and sensitive data exposure — and how they appear in production systems.
Learn practical, system-level defense strategies to protect LLM apps from misuse, overuse, and targeted attacks.
Gain hands-on knowledge of emerging threats such as agent-based misuse, vector database leaks, and embedding inversion.
Explore best practices for secure prompt design, output filtering, plugin sandboxing, and rate limiting.
Stay ahead of AI-related regulations, compliance challenges, and upcoming security frameworks.
Build the mindset of a secure LLM architect — combining threat modeling, secure design, and proactive monitoring.
Requirements
No deep security background is required — just basic familiarity with how LLM applications work.
Ideal for developers, architects, product managers, and AI engineers working with or integrating large language models.
Some understanding of prompts, APIs, or tools like GPT, LangChain, or vector databases is helpful — but not mandatory.
Curiosity about LLM risks and a desire to build secure AI systems is all you really need.
Comfort with reading or writing basic prompt examples, or experience using LLMs like ChatGPT, Claude, or similar tools.
A general understanding of how software applications interact with APIs or user input will make concepts easier to grasp.
| torrent name | size | uploader | age | seed | leech |
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| 2.1 GB | freecoursewb | 3 months | 1 | 1 | |
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Udemy - Intro to LLM Security - OWASP Top 10 for Large Language Mode Posted by
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1.3 GB | freecoursewb | 5 months | 9 | 1 |
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Udemy - GenAI Cybersecurity - OWASP Top 10, MITRE ATLAS and API Attacks Posted by
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1.5 GB | freecoursewb | 1 year | 5 | 3 |
| 897.5 MB | freecoursewb | 1 year | 11 | 4 | |
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Udemy - OWASP Top 10 - Protecting Against Threats and Vulnerabilities Posted by
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1.1 GB | freecoursewb | 2 years | 0 | 0 |
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