FireMon Agents & MCP in Action: From Policy Questions to Practical Workflow

See FireMon's Agentic AI Framework and Model Context Protocol (MCP) in action across two practical network security policy workflows. This demo-led session shows how agents within FireMon, and supported external AI tools connected via MCP, draw on policy context to help practitioners investigate access and prepare changes for review.

First, follow an access request through an agent-assisted workflow inside FireMon, from policy recommendations to a proposed change plan for practitioner review. Then see a supported external AI tool use MCP to investigate a network-access question using FireMon's policy intelligence. In each demonstration, we'll follow the request, examine the information returned, and show where the practitioner evaluates the result and decides what to do next.

We'll explain when to use an agent inside FireMon and when to connect an external AI workflow through MCP. We'll also cover the supported connections, configuration prerequisites and access permissions relevant to the demonstrations. You'll leave knowing how each approach fits into policy operations, and what to verify about data access and practitioner oversight before using it in your environment.

You'll learn how to:

• Use FireMon’s Agentic AI Platform to develop policy recommendations and prepare a proposed change plan for practitioner review.
• Investigate a network-access question with a supported external AI tool connected to FireMon's policy intelligence through MCP.
• Decide when to use an agent inside FireMon and when to connect an external AI workflow through MCP.
• Evaluate supported connections, prerequisites, data permissions and practitioner review before adopting either approach.