Enterprise MCP Security: Securing AI Agents, Tools & LLM Operations

AI agents are no longer chatbots. They call tools, read databases, approve transactions, and act inside your business systems and the Model Context Protocol (MCP) is fast becoming the standard that connects them. Every new connection is also a new attack surface.The Enterprise MCP Security is a practical, end-to-end guide to securing agentic AI in production. Instead of vague warnings, it gives you patterns, checklists, reference architectures, policy templates, and hands-on labs and it is built around one recurring case study: an AI refund assistant authorized to move real money.You will learn how to: - Threat-model MCP systems with a practical MAESTRO-based method- Apply Zero Trust, OAuth 2.0, and IAM integration to agents and tools- Harden servers, containers, and tool registries against poisoning and rug pulls- Build detection, observability, SIEM use cases, and incident response playbooks for agents- Red-team your own MCP deployment in a purpose-built cyber range- Map controls to NIST AI RMF, OWASP, the EU AI Act, and enterprise complianceWritten for security architects, platform engineers, AI engineers, and CISOs who need to say a better "yes" to AI with clear boundaries, real controls, and a plan for when things go wrong.