What Iron Gorilla does
A plain-language overview of runtime governance and the parts of the platform.
Runtime governance in one sentence
Iron Gorilla is the control layer for autonomous AI agents. Every model call, tool call, approval, data access, and external action can pass through policies before the action executes.
That matters because agents are useful only when they can touch real systems. Iron Gorilla lets teams give agents useful access while keeping the boundaries visible, enforced, and auditable.
The main surfaces
The platform is organized around the way governed agent work actually happens. Agent Builder turns business requests into reviewable agents, Trust Profiles show whether those agents have earned autonomy, and Connectors and MCP define the tools they can reach.
LLM Proxy records model-call context, Policy Builder turns business boundaries into enforceable controls, Operations Command Center gives operators the live queue, and Reporting packages the evidence into previews, snapshots, schedules, and exports.