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[ Agentic AI for Network Security Policy Control ]
Put Agents to Work on Network Security Policy With FireMon Agentic AI
The supplied Policy Change Designer workflow includes practitioner review before saving. Other agent and MCP workflows operate under delegated permissions and applicable workflow controls.
Access follows the permissions of the FireMon user running the agent or making the MCP request. FireMon computes policy results, path analysis, and recommendations; the model selects tools and explains the output.
Example pictured left: an access request moving through discovery, recommendations, practitioner review, and the supported Policy Planner save.
Adopt FireMon Agentic AI in Three Ways:
Start with supplied agents for supported policy work: investigate policy data, develop access recommendations, and prepare change plans for review.
- FireMon Intelligent Agent: Searches, analyzes, and explains policy.
- Network Designer: Analyzes an access requirement, discovers devices and policies, and recommends firewall policy changes.
- Policy Change Designer: Prepares Policy Plan changes and rule names, asks for choices and review, then saves to Policy Planner.
Build skills from FireMon tools and create agents with defined roles in Agent Builder, or start from a supplied agent. Run agents on request, on a schedule, or in response to an event.
Bring FireMon context into existing AI workflows. Customer-managed AI applications connect to FireMon tools and policy context through the FireMon Model Context Protocol (MCP) Server to search, discover, analyze, prepare changes, and save to Policy Planner when authorized. Policy Planner is required for change workflows.
[ FireMon Insights ]
Understand Risk and Investigate Access With Insights
Ask supported firewall policy and network-access questions in plain language. Insights returns the evidence behind each answer so practitioners can verify it. Supported policy queries and access-path analysis are read-only.
[ FireMon Insights ]
Understand Risk and Investigate Access With Insights
Ask supported firewall policy and network-access questions in plain language. Insights returns the evidence behind each answer so practitioners can verify it. Supported policy queries and access-path analysis are read-only.
Learn More About FireMon AI for Network Security Policy Management
FeaturedWebinar
FireMon Agents & MCP in Action: From Policy Questions to Practical Workflow
See FireMon Agentic AI and MCP in action. Learn how to investigate network access, develop policy recommendations, and prepare changes for practitioner review.
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Introducing FireMon Agentic AI for Network Security Policy Control
FireMon Agentic AI automates firewall policy review, preparing recommendations while security teams keep review and approval control.
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Audit Readiness in the AI Era Requires Continuous Policy Evidence Across the Hybrid Enterprise
Learn how continuous policy evidence helps security teams simplify audits, validate changes, and maintain compliance across hybrid environments.
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AI for Network Security Policy: Understand Risk and Get Answers
See how FireMon Insights uses AI to interpret policy KPI trends and answer firewall policy questions in plain language, grounded in normalized data.
AI-Assisted Firewall Management FAQs
Insights chat answers supported policy and network-access questions in plain language and returns the evidence behind each answer. Insights analysis applies AI interpretation to policy measurements so practitioners can see where investigation is warranted.
FireMon Agentic AI uses agents to carry out assigned policy tasks within defined permissions, such as investigating policy context, developing recommendations, and preparing change plans for review. The three are complementary capabilities, not an automatic sequence, and Insights chat and analysis are not steps users must complete before using agents.
FireMon Agentic AI offers three adoption options: use supplied agents, build or customize agents in Agent Builder, or use the FireMon Model Context Protocol (MCP) Server. Customer-managed AI applications connect to FireMon tools and policy context through the FireMon MCP Server, and its role includes supported operations such as search, discovery, analysis, change preparation, and authorized saving, not only access to data. MCP workflows operate under delegated permissions and applicable workflow controls.
FireMon does not secure AI models or replace an AI security or AI governance platform. Its role is governed access to normalized network security policy data.
The supplied Policy Change Designer workflow includes practitioner review before the Policy Planner save, and saving is not deployment. Insights chat and analysis return answers and findings; they don’t change policy. Other agent and MCP workflows operate under delegated permissions and applicable workflow controls.
One Firewall Policy Control Plane For:
- The Hybrid Enterprise
Manage rules, validate changes, reduce risky access, and prove compliance across on-premises, virtual, and cloud network controls.
- Microsegmentation
Govern north-south and east-west traffic, surface unintended paths, and enforce segmentation intent as applications, users, and environments change.
- The AI-Ready Enterprise
Accelerate cleanup, benchmark against industry standards, and assess change impact before enforcement, without giving up practitioner control.
See FireMon AI at Work
See Insights answer policy questions and interpret policy measurements, then watch agents carry out assigned policy work.