Autonomous Cyber Defense: Mastering Agentic AI, MCP, and LangGraph

By JOSH HAYWARD

Autonomous Cyber Defense: Mastering Agentic AI, MCP, and LangGraph

Cyber attacks now move faster than human teams can investigate, triage, and contain them. If your SOC still depends on manual alert review, disconnected tools, and slow response playbooks, attackers already have the speed advantage.

Autonomous Cyber Defense shows security engineers, SOC leaders, cloud defenders, and AI builders how to design agentic security systems that reason, collaborate, and act across modern enterprise environments. Built around Agentic AI, Model Context Protocol, LangGraph, autonomous SOC workflows, MCP security tooling, AI-powered incident response, threat hunting, vulnerability intelligence, and Zero Trust guardrails, this book gives you a practical blueprint for building defense systems that operate at machine speed while staying auditable and controlled.

Inside, readers learn how to:

Build stateful security workflows with LangGraphConnect agents to security tools through MCPAutomate threat hunting, OSINT, CVE triage, and KEV researchCoordinate multi-agent incident response swarmsImplement human approval gates for sensitive containment actionsUse AI agents for SIEM, EDR, cloud, and vulnerability workflowsHarden autonomous systems with Zero Trust, guardrails, identity, and audit trailsMap agent actions to NIST CSF 2.0, SOC 2, HIPAA, and enterprise compliance needs

This is not a theory-heavy AI security overview. It is a hands-on engineering guide for building the next generation of autonomous cyber defense infrastructure.

• Format: Paperback
• Language: English
• ISBN: B0GZT99KSK
• ISBN13: 9798195807566
• Release Date: May 2026
• Publisher: Independently Published
• Length: 140 Pages
• Weight: 0.56 lbs.
• Dimensions: 0.3" x 7.0" x 10.0"