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Useful agents call tools, hand work to other agents, and read your data. Each of those is where governance usually stops — and where the loss now concentrates: excessive agency climbed to the third-biggest risk in OWASP's 2026 list for LLM applications. Here they are the places governance applies.
MCP servers go through a review-and-approval state machine, so a tool becomes available to agents only once someone has approved it — and an agent that reaches for an unapproved one is stopped at the gateway.
Connect the systems you already run — identity, ticketing, source control, cloud billing, the vendors your agents live on — and bring any agent, on any framework, through the SDK, a vendor connect or a push from the framework itself. The inventory stays synchronized with all of it.
When a controlled agent hands work to an unregistered or uncontrolled one, that hand-off is surfaced as its own high-severity finding in the triage queue rather than disappearing into a trace.
Track which data assets an agent read and produced, with retention rules — and block reads against assets that have gone stale.
Spend is tracked per agent and reconciled against the provider's own bills — AWS, Google Cloud or a manual import — so a budget can stop an overrun instead of describing it.
Seven test suites probe agents for factuality, refusals, jailbreaks, prompt injection and bias, then watch for drift once they are running in production — with quality thresholds set against your own baseline.
Publishers submit MCP servers; your reviewers approve them. Agents can only reach what has cleared that gate.
Connections keep the inventory current and pull the signals — usage, cost, identity — that the policies are evaluated against.
Delegation, lineage and spend are recorded as first-class events, so the gaps between agents are governed rather than assumed.
Tell us your industry, where you and your customers are, and how far along you are. We will show you the record your tenant would produce and the obligations it maps to.