Autonomous Cyber Defense

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 LangGraph
• Connect agents to security tools through MCP
• Automate threat hunting, OSINT, CVE triage, and KEV research
• Coordinate multi-agent incident response swarms
• Implement human approval gates for sensitive containment actions
• Use AI agents for SIEM, EDR, cloud, and vulnerability workflows
• Harden autonomous systems with Zero Trust, guardrails, identity, and audit trails
• Map 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.