{"id":11824,"date":"2026-08-10T10:37:29","date_gmt":"2026-08-10T10:37:29","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-ai-agents-and-agentic-rag-for-cybersecurity-2025-8\/"},"modified":"2026-08-10T10:37:29","modified_gmt":"2026-08-10T10:37:29","slug":"oreilly-ai-agents-and-agentic-rag-for-cybersecurity-2025-8","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-ai-agents-and-agentic-rag-for-cybersecurity-2025-8\/","title":{"rendered":"Oreilly \u2013 AI Agents and Agentic RAG for Cybersecurity 2025-8"},"content":{"rendered":"
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Description<\/span><\/h2>\n

AI Agents and Agentic RAG for Cybersecurity Course. This course provides critical skills in cybersecurity and network optimization with a focus on artificial intelligence and advanced concepts such as RAG and intelligent agents. Participants will master the principles and practical applications of technologies such as Langchain, LangGraph, and LlamaIndex, and understand the differences between traditional RAG, RAG Fusion, and RAPTOR implementations for efficient information retrieval and processing. The course teaches how to implement RAG for dynamic information retrieval, reordering, and advanced automation in practical cybersecurity scenarios. Large Language Models (LLMs) are also used for offensive and defensive cyber operations, as well as network applications. After covering the basics of RAG, the discussion moves on to complex agent implementations using frameworks such as LangChain, AutoGen, and LangGraph. The course\u2019s hands-on labs provide learners with the skills needed to build secure AI systems by providing real-world examples of incident response, OSINT, and ethical hacking.<\/span><\/p>\n

What you will learn<\/span><\/h3>\n