OWASP Top 10 LLM 2025: AI Security Essentials

OWASP Top 10 LLM 2025: AI Security Essentials

Master the latest OWASP list for AI, protect Large Language Models apps, and build secure, resilient systems



Sub Category

  • Other IT & Software

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Objectives

  • Understand the fundamentals of Large Language Models (LLMs) and their security landscape
  • Explore the OWASP Top 10 for LLMs (2025) and why it matters for developers, architects, and security professionals
  • Identify common vulnerabilities unique to LLMs, such as prompt injection and data leakage
  • Learn practical techniques for defending against adversarial prompt manipulation
  • Recognize risks of unbounded resource consumption and denial-of-wallet attacks
  • Detect and mitigate model extraction and replication attempts
  • Understand embedding inversion attacks and their impact on data privacy
  • Explore cross-tenant risks in multi-user vector databases and retrieval-augmented generation (RAG)
  • Implement safe input validation, sanitization, and filtering strategies
  • Apply Role-Based Access Control (RBAC) and least-privilege design principles to LLM systems
  • Build robust monitoring, logging, and anomaly detection pipelines for AI workloads
  • Learn secure deployment practices for APIs and LLM-driven applications
  • Apply adversarial robustness training and continuous red-teaming practices
  • Explore strategies for preventing sensitive information disclosure from training data
  • Balance usability with security when designing LLM-enabled user interfaces
  • Learn about legal, ethical, and compliance considerations for AI security
  • Gain hands-on experience with real-world case studies and attack simulations
  • Develop a security mindset for building and auditing AI-powered systems
  • Learn best practices for MLOps governance and secure lifecycle management
  • Walk away with actionable checklists and frameworks to protect LLMs in production


Pre Requisites

  1. Familiarity with web application concepts (APIs, databases, authentication)
  2. General awareness of cybersecurity principles (helpful but not required)
  3. Curiosity about Artificial Intelligence, Machine Learning, or LLMs
  4. No advanced math or deep AI background is needed - we focus on practical security
  5. Willingness to experiment with AI tools, prompts, and security testing scenarios


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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