LLM Security Made Simple: OWASP Top 10 for GenAI

About this course

This course contains the use of artificial intelligence

Generative AI is rapidly moving from simple chatbots into real applications that can search company knowledge, call tools, access databases, generate code, interact with APIs, and even perform actions autonomously.

That creates an entirely new security challenge.

LLM Security Made Simple: OWASP Top 10 for GenAI is a beginner-friendly practical course designed to help you understand how modern Generative AI systems can fail, how attackers can abuse them, and how developers and security professionals can build stronger defenses.

You will begin by understanding how Large Language Models and LLM-powered applications actually work, including prompts, system instructions, APIs, RAG, embeddings, vector databases, tools, and AI agents.

From there, you will explore the OWASP Top 10 for LLM and Generative AI applications, including Prompt Injection, Sensitive Information Disclosure, Supply Chain risks, Data and Model Poisoning, Improper Output Handling, Excessive Agency, System Prompt Leakage, Vector and Embedding Weaknesses, Misinformation, and Unbounded Consumption. Throughout the course, you will learn about:

• LLM and Generative AI application architectureAI threat modeling and attack surfaces
• Prompt Injection and indirect Prompt Injection
• Sensitive data and credential leakageAI supply-chain security
• Data and model poisoning
• Secure handling of LLM-generated outputAI agents and excessive permissions
• System Prompt LeakageRAG and vector database security
• Hallucinations and misinformation
• Token abuse and Denial-of-Wallet attacksAI agents, tools, and MCP securityLLM security testing and AI red teaming
• Input and output guardrails

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