دوره Udemy – OWASP Top 10 for LLM Applications (2025)

Large Language Models (LLMs) like GPT-4, Claude, Mistral, and open-source alternatives are transforming the way we build applications. They’re powering chatbots, copilots, retrieval systems, autonomous agents, and enterprise search — quickly becoming central to everything from productivity tools to customer-facing platforms. But with that innovation comes a new generation of risks — subtle, high-impact vulnerabilities that don’t exist in traditional software architectures. We’re entering a world where inputs look like language, exploits hide inside documents, and attackers don’t need code access to compromise your system.

Syllabus

1. Introduction to LLM Application Security
2. Prompt Injection
3. Sensitive Information Disclosure
4. Supply Chain
5. Data and Model Poisoning
6. Improper Output Handling
7. Excessive Agency
8. System Prompt Leakage
9. Vector and Embedding Weaknesses
10. Misinformation
11. Unbounded Consumption
12. Best Practices and Future Trends in LLM Security

Udemy – OWASP Top 10 for LLM Applications (2025)