AI systems can now read websites, emails, documents, tickets, PDFs, and even trigger actions through plugins.That means one thing: if the AI can read it, someone can influence it.In this video, we go deep into the world of Prompt Injection, the fastest-growing attack on LLMs in 2025.Using insights from real research, real demos, and real enterprise failures, we explain how attackers hijack AI systems using hidden instructions, misleading content, and manipulated data — and how you can defend against it.This video is based on my full breakdown of LLM security failures and mitigations from LLM01: Prompt Injection. 00:00 - 00:45 – Introduction00:45 - 02:21 - Prompt Injection02:21 - 03:45 - Eg: Simple Analogy03:45 - 05:14 - Where Prompt Injection Shows Up05:14 - 05:35 - Typical Attackers Goals05:35 - 08:31 - Types of Prompt Injection08:31 - 09:56 - Eg: Direct Prompt Injection09:56 - 10:46 - Eg: Indirect Prompt Injection10:46 - 11:20 - Case Study-1 ChatGPT Plug-in Vulnerability (Direct Injection)11:20 - 12:32 - Not What You Sign For (Indirect Injection)12:32 - 13:14 - Why Prompt Injection is Dangerous13:14 - 14:13 - Key Risk Factors14:13 - 16:10 – Mitigation16:10 - 16:45 - CISO Lesson AI Practicalhttps://www.youtube.com/watch?v=XmbOUSX7IKc&list=PL0hT6hgexlYwHLdZR_oHvEKN_8IiAMBcU&pp=gAQBPractical Security Architecturehttps://www.youtube.com/watch?v=OhxAdrfHVs8&list=PL0hT6hgexlYwhCZaMSPd98vfYR-Aw9oWp&pp=gAQBGENAI Securityhttps://www.youtube.com/watch?v=aTJPKifa1VM&t=629s#PromptInjection#LLMSecurity#AISecurity#RAGSecurity#GenAISecurity#CyberSecurity#CISO#AIThreats#AIAttacks#TechExplained