AI Workforce

A team of AI coworkers
that never see your data.

Hand the busywork to a fleet of AI agents that work in your real apps and accounts. They get it done. And since they only ever see realistic stand-in values, a hijacked agent leaves with nothing worth taking.

NameMichael Thompson
Emailsarah.t@gmail.com
SSN482-71-9284
Phone(555) 234-8901
DOB03/15/1988
Address1847 Oak Dr, Portland
Account7294018365
Card4532 8014 6279 7891
EmployerMeridian Health
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The Workforce

How many agents can one person run?

Up to twelve at a time, each in its own live window you can watch. The work is mostly the same grind: log into a portal, click through it, copy a number into the next system. The agents handle that part. You stay in charge.

12
agents at once, each in a window you watch
Any
web app your team already uses. No API to build.
You
stay in charge: step in, redirect, or switch on autopilot

Customer support

Work tickets and update records in the CRM and support tools your team already uses.

Finance & AP/AR

Match invoices to POs, process payments, reconcile expenses, and chase collections through supplier portals.

Back-office data entry

Move data between systems that don't talk to each other. The swivel-chair work no integration ever covered.

Research & reporting

Pull the data, analyze it in a notebook that has no internet access, and hand back an encrypted report.

See It In Action

Watch one work through a prompt-injection attack.

An agent runs a real task while an attacker tries to steal what's on the screen. Watch what the agent sees, and what it actually hands over.

Every option today makes you give something up.

Here's the honest version of your choices for running AI on data you can't afford to leak.

Your options Best models
from the top labs
No big contract
or infra to build
A hijacked agent
steals nothing
Don't use AI on itYou stay safe and fall behind
Enterprise contract with a labSecure, but priced for the few
Self-host a local modelPrivate, but you give up the best models
RedactSureBest models, and nothing exposed, even to RedactSure itself

Enterprise and local hosting are genuinely secure ways to handle data. They just don't stop an agent that gets hijacked mid-task, because the model is still working on the real thing.

Architectural Anonymity

The work gets done.
The data stays hidden.

Your agents are safe to trust because they can't leak what they never had. The real values stay locked in a hardware enclave only you can open. The agent only ever sees the stand-ins.

Confidential Enclave · You hold the key

Michael Thompson
482-71-9284
4532 8014 6279 7891
Anonymization Wall

AI Coworker · Any model

USER_001
SSN_001
CARD_001
The real value is swapped in at the last second, when the agent submits, and only on sites you've approved. Until then it isn't in the browser, on the screen, or in any screenshot.
Your keys, your data

Your credentials are encrypted with a key only you hold. There's no master key on our end, so we can't read them even if we wanted to.

Deny by default

Every session runs on a fixed policy. Your bank password only unlocks on your bank's site. It won't resolve on Gmail, or anywhere you didn't approve.

Prompt injection stops mattering

You don't have to block the attack. When a hijacked agent ships out SSN_001, it's shipping a useless token. There's no real data to report or clean up.

Bring any model

Claude, GPT, Gemini, or an open model. The protection sits between the model and the browser, so you can switch whenever you want.

✓ Any AI model ✓ Any browser app ✓ No API integration ✓ Hardware-encrypted enclaves ✓ Per-session isolation

Put your AI workforce to work.

Setting up your first task takes a few minutes. The agents do the job. They never need your name to do it.

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