Udemy - AI Security - Defend LLM Apps Against the OWASP LLM Top 10

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.3 GB
  • Uploaded Byfreecoursewb
  • Downloads110
  • Last checkedJun. 12th '26
  • Date uploadedJun. 11th '26
  • Seeders 16
  • Leechers20

Infohash : FE1BE6E6DF53C3BF64EFF2A53945339D69E4659A

AI Security: Defend LLM Apps Against the OWASP LLM Top 10

https://WebToolTip.com

Published 6/2026
Created by NEXUS ACADEMY
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 29 Lectures ( 3h 13m ) | Size: 1.3 GB

Break and secure LLM apps with hands-on labs covering the OWASP Top 10 for LLM Applications (2025).

What you'll learn
⚡ Explain why LLM and GenAI apps break differently than traditional web apps, and threat-model them like an attacker.
⚡ Exploit and defend against prompt injection (LLM01) and improper output handling (LLM05) in a safe, sandboxed lab.
⚡ Prevent sensitive information disclosure (LLM02) and system prompt leakage (LLM07) with data minimization and secrets hygiene.
⚡ Harden the AI supply chain, RAG pipelines, and vector stores against poisoning and embedding attacks (LLM03, LLM04, LLM08).
⚡ Contain excessive agency (LLM06) and unbounded consumption (LLM10), and run a defense-in-depth program with guardrails and monitoring.

Requirements
❗ Working knowledge of web application security, APIs, and the ability to read code (Python or JavaScript).
❗ A computer that can run a local, sandboxed lab (Docker or a Python virtual environment). No prior AI/ML experience required.

Files:

[ WebToolTip.com ] Udemy - AI Security - Defend LLM Apps Against the OWASP LLM Top 10
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - AI Security Foundations and Your Lab
    • 1. Course Documents and How to Use Them.mp4 (53.6 MB)
    • 2. Welcome Who This Course Is For.mp4 (31.3 MB)
    • 3. Why LLM Apps Break Differently Than Web Apps.mp4 (40.8 MB)
    • 4. The OWASP LLM Top 10 (2025) What's New and What Moved.mp4 (44.1 MB)
    • 5. Setting Up Your Hands-On Attack Lab.mp4 (42.6 MB)
    • 6. Thinking Like an Attacker LLM Threat Modeling.mp4 (39.3 MB)
    2 - Prompt Injection and Output Handling
    • 10. LLM05 Improper Output Handling.mp4 (41.9 MB)
    • 11. Lab From LLM Output to XSS and Command Injection.mp4 (49.9 MB)
    • 7. LLM01 Prompt Injection Explained.mp4 (38.8 MB)
    • 8. Lab Direct and Indirect Prompt Injection Attacks.mp4 (51.0 MB)
    • 9. Defending Against Prompt Injection.mp4 (47.4 MB)
    3 - Data Exposure and Secrets
    • 12. LLM02 Sensitive Information Disclosure.mp4 (42.3 MB)
    • 13. Lab Extracting Training Data and PII.mp4 (44.7 MB)
    • 14. LLM07 System Prompt Leakage.mp4 (40.7 MB)
    • 15. Lab Stealing the System Prompt.mp4 (44.7 MB)
    • 16. Defenses Data Minimization and Secrets Handling.mp4 (44.1 MB)
    4 - Supply Chain, Poisoning, and RAG
    • 17. LLM03 Supply Chain Risks in the AI Stack.mp4 (44.5 MB)
    • 18. LLM04 Data and Model Poisoning.mp4 (52.7 MB)
    • 19. LLM08 Vector and Embedding Weaknesses.mp4 (49.0 MB)
    • 20. Lab Poisoning a RAG Knowledge Base.mp4 (56.7 MB)
    • 21. Securing the AI Supply Chain and RAG Pipeline.mp4 (53.2 MB)
    5 - Agentic and Operational Risks
    • 22. LLM06 Excessive Agency in Agentic Apps.mp4 (46.1 MB)
    • 23. Lab Exploiting an Over-Privileged Agent.mp4 (54.5 MB)
    • 24. LLM10 Unbounded Consumption — DoS, Denial-of-Wallet, Model Extraction.mp4 (49.7 MB)
    • 25. LLM09 Misinformation and Overreliance.mp4 (45.4 MB)
    6 - Building a Defense-in-Depth Program
    • 26. Guardrails Input Filtering, Output Encoding, and Rate Limits.mp4 (48.2 MB)
    • 27. LLM Red Teaming and Continuous Security Testing.mp4 (51.4 MB)
    • 28. Monitoring, Logging, and Incident Response for LLM Apps.mp4 (42.8 MB)
    • 29. Course Wrap-Up Your LLM Security Checklist.mp4 (29.0 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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