Put AI cost, agents, and runtime under control.
AI spend and agent behavior are the parts that run away quietly. Govern360 attributes every token to an owner, enforces budgets and quotas, and governs agents and tool calls at runtime.
AI Control answers one question: Are AI costs, agents, and runtime under control? Govern360 puts AI cost, agents, and runtime under control — every token attributed and explainable, every agent governed, every budget enforced.
What control covers
Control is where governance meets the bill and the runtime.
Token governance
Attribute every token to a user, team, app, agent, and model across OpenAI, Azure OpenAI, Anthropic, Bedrock, and Vertex — with patent-pending explainable, per-record cost allocation.
Budgets & quotas
Enforce token quotas, budget ceilings, and model-tier policies, with alerts and fallbacks before a breach, not after the invoice.
MCP gateway
Govern Model Context Protocol tool calls alongside direct model calls, as one unit of control.
Agent action control plane
Govern every agent, every tool call, and every delegation — with per-agent budgets and attribution across delegation chains.
How it shapes your Govern360 AI Exposure Score™
AI Control is one of the five dimensions of the Govern360 AI Exposure Score™, weighted 15%. Control measures whether cost and agent runtime are owned and bounded — the difference between AI you can budget for and AI that surprises finance. Every gap is a finding with a point value and a fix.
Questions, answered
How do I control AI and Copilot costs?
Govern360 attributes every token to a user, team, app, agent, and model, enforces quotas and budgets, and forecasts burn — with patent-pending explainable allocation so you can show exactly who spent what.
Does Govern360 proxy my model calls?
No. It governs model calls without proxying them — ingesting telemetry and writing enforcement back through the gateway or provider you already run.
What is the MCP gateway?
It governs Model Context Protocol tool calls — the actions agents take — alongside direct model calls, so agent tool use is bounded by the same policy.