01
Finds every agent
You get a list of every AI agent running in your company, what each one can reach, and who owns it. Most teams see names they didn't expect.
The trust layer for your AI agents
Building an AI agent is easy.
Trusting one isn't.
TrustOS sits between your AI agents and the systems they touch. It decides what they're allowed to do, asks a person when something matters, and keeps a record you can show anyone.
YOUR AI AGENTS
Whatever you built them with
YOUR REAL SYSTEMS
Customers, money, data
One bad action is real damage.
Agents don't just answer questions any more. They send the message, move the money, change the record. Most teams have no way to say what's allowed — and no way to explain what happened.
Deletes customer records
Shares private data
Refunds the wrong person
Nobody knows it happened
What TrustOS does
Four simple jobs.
02
Holds the rules
One place to write what agents may and may not do — small refunds fine, big ones not, nothing destructive ever. The same rules apply everywhere.
03
Asks a person
When something is risky, the action waits and the right person gets a message with the full story. They approve or decline in one tap.
04
Keeps the receipts
Every decision is written down and can't be quietly edited later. When someone asks what your agents did last quarter, you send a file.
A moment that matters
The agent wants to refund $4,200.
Small refunds go through on their own. This one is above the limit, so it stops and waits. Your team lead sees exactly what the agent wants to do and why it paused, and decides.
Approve, and it happens once — never twice, even if something crashes. Ignore it, and it quietly expires instead of going ahead.
TrustOSjust now
Needs your approval
The refunds agent wants to refund $4,200.00 on order #8F21K90, on behalf of Jide in Support.
Getting started
You decide how far it goes.
TrustOS starts out only looking. It can't stop anything until you say so.
STEP ONE
Look
We show you what you're running. Nothing is touched, nothing is blocked. Most people find this part uncomfortable enough on its own.
STEP TWO
Watch
Your rules run quietly in the background and we tell you what they would have stopped. You tune them against real life before they bite.
STEP THREE
Step in
When you're ready, turn it on — one kind of action at a time. Risky things stop or wait for a person; everything else carries on as before.
Why teams trust us with this.
It runs in your own systems
Nothing your agents do is sent to us. TrustOS lives inside your setup, not in our cloud.
Nobody rewrites an agent
Connecting an agent is a settings change, not a project. It works the same whichever tools you built with.
Answers are plain, not guesses
Ask why something was allowed and you get the rule that allowed it — not a score you have to interpret.
The important part is open
The piece that sits in the way of your agents is open source, so your team can read it and it never depends on us being around.
Common questions.
Will this slow our agents down?
No. The check happens in a few milliseconds — far less than the agent's own thinking time. We publish the numbers and measure them on every release.
Doesn't our cloud provider do this?
Inside that one cloud, partly. But it can only say yes or no, it can't ask a human, and it stops at its own edges. Most companies run agents in more than one place.
Won't people get tired of approving things?
They would, if everything needed approval. Only genuinely risky actions do, and we track how many requests each person gets so the noise can be turned down.
What if TrustOS itself breaks?
Harmless things keep working; anything risky stops rather than slipping through. We write down exactly what happens in every failure and share it before you need it.
Start by seeing what you're running.
We'll show you every agent in your company and what each one can reach. It takes about an hour, nothing gets blocked, and the list is yours to keep.