Building Agents with FireMon: A Deep Dive into Skills, Tools and MCP

An AI agent is only as effective as the context, skills, tools and permissions behind it. In this technical session, FireMon shows how those components work together for network security policy management.

Join us for a practical introduction to the latest FireMon-provided agents, skills and tools available at the time of the webinar. We’ll break down how an agent turns a request into a structured workflow, using governed FireMon policy context, task-specific skills and supported tools to investigate questions, develop recommendations and prepare proposed actions for practitioner review.

The session will also examine what it takes to build or adapt an agent for a defined policy use case, and how Model Context Protocol (MCP) connects supported external AI workflows to FireMon policy intelligence and tools. Through a deeper technical demonstration, attendees will see how the pieces fit together, where permissions and human decisions belong, and how agentic workflows can take on more of the investigation and preparation work behind policy operations.

You’ll Learn How To

• Distinguish between agents, skills, tools and MCP, and understand the role each one plays.
• Explore the newest FireMon-provided agents and skills available.
• Follow an agentic workflow from an initial request through policy analysis, recommendations and a reviewable outcome.
• Build or adapt an agent around a defined network security policy task.
• Evaluate when to use an agent inside FireMon and when to connect an external AI workflow through MCP.
• Define appropriate tools, permissions and practitioner oversight for agentic policy workflows.