OWASP Top 10 for LLM Applications (2025)

Course Overview

• Course Title: OWASP Top 10 for LLM Applications (2025)
• Instructor: Cyberdefense Learning
• Target Audience:
  • Developers
  • Architects
  • Product managers
  • AI engineers working with or integrating large language models
• Prerequisites:
  • Basic familiarity with how LLM applications work
  • Some understanding of prompts, APIs, or tools like GPT, LangChain, or vector databases (helpful but not mandatory)
  • 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

Curriculum Highlights

• Key Topics Covered:
  • Top 10 security risks in LLM-based applications
  • Real-world vulnerabilities like prompt injection, model poisoning, and sensitive data exposure
  • Practical defense strategies for LLM apps
  • Emerging threats such as agent-based misuse, vector database leaks, and embedding inversion
  • Best practices for secure prompt design, output filtering, plugin sandboxing, and rate limiting
  • AI-related regulations, compliance challenges, and upcoming security frameworks
  • Threat modeling, secure design, and proactive monitoring
• Key Skills Learned:
  • Identify and mitigate security risks in LLM applications
  • Implement defense strategies for LLM apps
  • Understand and address emerging threats in LLM systems
  • Apply best practices for secure LLM architecture
  • Stay compliant with AI-related regulations
  • Develop a secure mindset for LLM architecture

Course Format

• Duration: 6 hours on-demand video
• Format: Self-paced online course
• Resources:
  • Role Play
  • Access on mobile and TV
  • Certificate of completion