June 2026
Intermediate
386 pages
8h 22m
English
Content preview from Agentic AI for Cybersecurity: Building Autonomous Defenders and AdversariesBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Chapter 2. Retrieval-Augmented Generation (RAG), Agentic RAG, and Model Context Protocol (MCP)
In Chapter 1, “Foundations of Agentic AI Systems,” we explored the shift from passive AI assistants to proactive, goal-oriented AI agents. We saw that an agent’s power lies in its ability to reason, plan, and use tools to interact with the digital world. But what happens when the world an agent needs to understand is constantly changing, or locked away in private databases? A Large Language Model (LLM), for all its reasoning power, is fundamentally a closed book. Its knowledge is vast but static, frozen at the moment its training was completed. Ask it about a cybersecurity vulnerability disclosed five minutes ago, or to summarize your company’s internal ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.