pipeline replaces your confidential data with safe stand-ins before it reaches Claude — all on your own infrastructure. Your team uses AI exactly the same way; the real data never leaves your network.
Your team is pasting client names, IDs, contracts and credentials into AI tools every day. Every message is confidential information leaving a network you control for a server you don't.
Names, IDs, account numbers, even passwords and VPN keys — once pasted into an AI tool, they're on a server you don't control. Forever.
Nobody knows which team is spending on AI, how much, or why the bill went up this month. No budgets, no alerts, no visibility.
The tools that claim to protect you are SaaS — your sensitive data still passes through their cloud. You trade one risk for another.
If your team uses AI with confidential information — clients, patients, case files, accounts, infrastructure — pipeline is built for you.
Account data, transactions, KYC, customer records.
Patient records, diagnoses, clinical histories.
Contracts, case files, client identities.
Policyholder data, claims, risk profiles.
Citizen data, sensitive records, regulated processes.
Configs, credentials, VPN keys, network secrets.
…and any other team handling confidential data. Detection profiles are tailored per vertical.
Confidential data is swapped for realistic stand-ins before anything leaves. The AI works exactly the same — it just never sees anything real.
Everything runs in your own network. Names, IDs, accounts, addresses — plus passwords, VPN keys and network configs — are caught before they leave.
Each real value becomes a realistic stand-in of the same type. "Juan Pérez" → "Diego Sosa". The AI reasons the same, blind to anything real.
You get the answer back with the real values restored — and every message and every token is logged, so you always know what left and what it cost.
| Stage | What Claude actually receives |
|---|---|
| Your message | Draft a contract for Juan Pérez, ID 4.123.456-7, account UY12… |
| Sent to Claude | Draft a contract for Diego Sosa, ID 5.842.118-3, account UY98… |
| You get back | The full answer, with the real values restored. Claude never saw one. |
Runs in your own infrastructure. Nothing sent to a third party.
The other half is controlling what goes into the model and what comes out. pipeline adds three security layers that run 100% inside your network, before anything reaches the cloud.
Inspects every prompt for hidden or malicious instructions — "ignore your rules", config-leak and data-exfiltration attempts, invisible characters and hidden payloads. If it spots a risk, it stops the request before it's sent.
Blocks the subjects your company doesn't want touched — in what your team writes and in what the model answers. A healthcare team can ban crypto or betting; lists are configured per area.
If a request carries data outside your vertical's scope — say a network config coming from the health system — pipeline blocks it instead of risking a leak. When in doubt, it fails closed.
One gateway in front of every AI call — so your data stays in, and your spend stays visible.
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