Unleash the power of next-generation AI agents to transform cybersecurity, business processes, and productivity.
Agent-based AI has revolutionized cybersecurity and other fields, thanks to intelligent, autonomous software agents capable of planning, reasoning, and taking action. Instead of just answering questions, these agents act as digital analysts, using tools, adapting to new information, and collaborating with humans and other agents to get work done.Actual.
Agent AI for Cybersecurity is a comprehensive, practical guide to building, deploying and securing these systems. Written in plain English, the book explains how modern agent AI frameworks (such as LangChain, LangGraph, CrewAI, and LlamaIndex) enable autonomous multi-agent systems, and how frameworks such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) are contributing to the emerging Internet of Agents.Through hands-on projects and real-life case studies, readers learn how to apply agentic AI in cyber defense, adversarial testing, business automation, and workflow optimization to increase productivity. The book also addresses critical risks, including adversarial threats, governance, and compliance. The goal is to make security a top priority, not just an afterthought.
