In my latest videos, I explain the essential terms shaping AI agents and agentic security from the fundamentals to the risks and controls: → LLMs, assistants, agents and agentic AI → Goals, tasks, instructions and autonomy → Agent loops, planning and reasoning → Tools, function calling and orchestration → MCP, A2A and multi-agent systems → Context, RAG and memory → Non-human identities and trust boundaries → Prompt injection, goal hijacking and tool poisoning → Context, memory and RAG poisoning → Excessive agency, scope creep and confused deputy → Tokens, supply chains and shadow agents → Least privilege, sandboxing, human approval, observability and kill switches
Checkout the whole playlist - https://www.youtube.com/watch?v=iSW8qSLKRsw&list=PLfpf_ZW3UBY4
I explain each concept in simple, practical language with examples that developers, security professionals, AI engineers, students and leaders can relate to. The videos are available in conversational HIndi.
𝗪𝗵𝗶𝗰𝗵 𝗮𝗴𝗲𝗻𝘁𝗶𝗰-𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝘁𝗲𝗿𝗺 𝘀𝗵𝗼𝘂𝗹𝗱 𝗜 𝗲𝘅𝗽𝗹𝗼𝗿𝗲 𝗶𝗻 𝗮 𝗱𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘃𝗶𝗱𝗲𝗼 𝗻𝗲𝘅𝘁?
#AgenticAI #AIAgents #AISecurity #AgenticSecurity #Cybersecurity #ModelContextProtocol #MCPSecurity #PromptInjection #ToolPoisoning #GenAI