Modern AI chat provides great value in everyday life, but the challenge arises when prompts contain personal data, customer data or trade secrets. However, it is entirely possible to use AI chat securely. A key factor in making chat safer is to place an automatic layer of protection between the user and the language model. As implemented in Varde Venn, sensitive data is identified and masked before it leaves the organisation’s control.
What you write
Can you summarise the complaint from Marte Kirkerud (marte.kirkerud@example.com)? It refers to case SAK-2026-4471. ↑Reconcile the payment from Ås Anlegg AS to account 0000 00 00000, 48 500 kroner. ↑Why does this fail? sk-demo-ikke-en-ekte-nokkel is set, but the call to kunde-api.example.com answers 401. ↑Can you summarise the complaint from Marte Kirkerud (marte.kirkerud@example.com)? It refers to case SAK-2026-4471.↑
✓What Varde Vern forwards
Can you summarise the complaint from [NAME_863a1dad3df0] ([EMAIL_8cfddd764973])? It refers to case [CASE_f0bd46ce7e63].Reconcile the payment from [ORG_825b2e6fa9a0] to account [ACCOUNT_9ccdaadf87f8], 48 500 kroner.Why does this fail? [SECRET_4034abeb1304] is set, but the call to [HOST_02de5f0836cc] answers 401.Can you summarise the complaint from [NAME_863a1dad3df0] ([EMAIL_8cfddd764973])? It refers to case [CASE_f0bd46ce7e63].
Varde Vern — masking in transit
What it does
Varde Vern (Automated Data Cleaning)
Before your message is sent to the language model, Varde Vern scans it for sensitive data—such as personal data, email addresses and source code—and automatically masks it.
Varde Rute (Smart control)
Your request is automatically routed to the appropriate language model based on the company’s rules. If the content requires stricter privacy, it is routed directly to an approved European model.