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.