Your AI agents are actors. Govern them like it.
The control plane for the agent as an actor — what it is, what it does, what it costs, who owns it, and how safe it is.
Your teams ship autonomous agents faster than anyone can govern them. QControl makes the agent — not the network it talks to — the unit of control, then hands each role the read it actually needs.
One model: the agent as an autonomous actor.
Egress and traffic are a detail, not the story. QControl is built around the agent itself — five facts about every actor in your fleet, kept honest about what's measured versus guessed.
What it is & who owns it
Every agent inventoried — vendor, model, host, the human or service behind it — including the shadow installs reporting no telemetry at all.
What it does & whether it works
A reconstructed action-and-outcome trail: what each agent did, what it touched, and whether the task actually succeeded — signal tagged measured, inferred, or none.
What it costs & how safe it is
Per-agent spend with estimates labeled as estimates, plus a posture score with the credential, privilege, and approval factors behind it.
The same control plane, told to the person in the seat.
One data model, five different first questions. Each seat re-leads the same agents for the role that's looking — so the app stays lean while feeling tailored to five very different buyers. Open the value story for any seat.
Security · CISO
Security
Govern agent behavior, posture, and credentials — and prove it. Inventory, findings, posture, and the forensic trail of what each agent actually did.
Read the Security storyFinance · FinOps
Finance
See, attribute, and control what agents cost. Spend by model, agent, and user, with per-axis ceilings and the uncapped spend they would close.
Read the Finance storyExecutive
Executive
One board read of governance, spend, and risk — plus the question executives actually ask: are the agents earning their keep?
Read the Executive storyEngineering · Platform
Engineering
Operate the fleet and know it works. Effectiveness above performance above behavior — outcome, speed, and the trace from a run to the break.
Read the Engineering storyCompliance · Privacy
Compliance
Prove control coverage from agent behavior — honestly. Findings auto-mapped to frameworks, an exportable evidence pack, and the audit why-trail.
Read the Compliance storyWhere this fleet stands today.
Honest by design
Estimates are labeled as estimates, unverified identities as unverified, shadow agents priced worst-case. That's what makes the rest worth trusting.
Lean, not five apps
One agent model behind five seats. The lens does the work — each role gets the right first question without duplicating the product.
Make every agent an accountable actor.
See what each of your agents is, does, costs, and how safe it is — from whichever seat you sit in.