AI agents can act for you.
You decide what they're allowed to do.
SenseGuard sits between an AI agent and the things it could change: your code, your servers, your money. Safe actions go through. Risky ones wait for your approval on your phone. Everything is written down.
For teams that already use AI agents, or plan to.
Pay invoice INV-2041 to Lumen Supplies, EUR 4,800.
- Request sent to SenseGuard
- Rule: payments must be authorized by a human. Waiting for approval.
- Approved by Dana, with fingerprint
- Payment sent, EUR 4,800 to Lumen Supplies. Recorded.
No sensitive AI action happens without a person's approval.
Full Protection locks down the tools and resources you choose to protect, so only SenseGuard can use them. If an agent tries another tool or another route, it finds the door closed. The action happens only after an authorized person approves that exact action.
Zero trust for AI actions
No agent is trusted by default. Every sensitive action is checked against your rules, every time, however the agent asks.
Humans stay in the loop
A named, authorized person approves what matters, on their own phone, with the real details in front of them.
Experts stay in control
The people who know your business set the limits. The AI works inside them, and doesn't set its own.
Fast, because safe actions flow straight through.Secure, because the rest wait for you.
Full Protection applies to the capabilities you enroll, for example payments or publishing, and your environment shows exactly what is covered. SenseGuard doesn't claim protection for anything outside that scope.
An AI agent that can only talk is harmless. One that can act is not.
Agents now push code, change cloud settings, read private data and send payments. But AI can go wrong, and when it does, the business pays for it.
- AI can make mistakes. It misreads an instruction, skips a check or forgets a step, and nobody notices until the damage is done.
- AI can be manipulated. An outside attacker hides instructions in an email, a web page or a document, and the agent follows them as if they came from you.
Companies can't afford to find out afterwards. The answer is to keep a human in the loop for every important action. SenseGuard makes that a rule outside the agent, where it can't skip it.
Four steps, every time an agent wants to do something that matters
- Step 1 · Request
The agent asks
It has to ask SenseGuard to act. It doesn't hold the keys itself.
asks, never acts alone - Step 2 · Check
Your rules decide
Each request is checked against rules you set: allow it, ask a person, or block it.
allow · ask · block - Step 3 · Approve
A person approves
For risky actions, your phone shows exactly what will happen. You confirm with your fingerprint or face.
only when a rule asks - Step 4 · Done
It runs, and is recorded
Only the approved action runs, once. SenseGuard keeps a record of who approved what.
one approval, one use
You choose how much freedom the agent gets
Rules are written per action, not per agent. Reading a file and deleting a database are different things, and the rules treat them differently.
Allow
Everyday, low-risk actions go straight through. The agent stays fast.
Ask a person
Higher-risk actions pause until an authorized person approves them on their phone.
Block
Some things should never happen. The agent can't do them, whatever it is told.
Approval that means something, and a record to show for it
- You approve the exact action. The phone shows the real details, such as the recipient and the amount. An approval for one payment can't be reused for another.
- One approval, one use. Once the action has run, that approval is spent.
- Strong sign-in on the phone. When a rule needs it, approving takes your fingerprint or face, not just a tap.
- A record you can check. Each request, decision and result is kept, so you can answer “who allowed this?”
Example with invented names.
Anyone who needs an AI agent to be useful without being unsupervised
Software teams
Let coding agents work, while code releases, shell commands and deployments wait for a person.
Cloud and IT teams
Put a human check in front of changes to servers, accounts and permissions.
Finance and regulated teams
Keep payments and sensitive data under named, accountable approval, with a record for auditors.
A working MVP, heading into independent review
We say what is built and what is not. The core approval flow works. Outside security validation and the first pilots come next.