Secure AI
Every company wants to put LLMs to work on their own data — but few can risk sending sensitive datasets to a third-party model. PryvX’s Data Scientist Agent runs LLM-powered analysis directly against your private data inside a secure, policy-controlled boundary, so teams get AI-driven insight without the data ever being exposed or exported.
Data Never Leaves the Boundary
The LLM and your dataset run together inside a secure enclave — raw data is never sent to an external model provider.
Data Scientist Agent
A natural-language agent that queries, summarizes and analyzes your private datasets on request, without a human ever seeing the raw underlying rows.
Governed by Policy
Every query is checked against data-access policy before it runs, so teams get answers without ever gaining raw access to data they shouldn't see.
How It Works
From a question to a private answer, in four steps
Ask
A team member asks the Data Scientist Agent a question in plain language.
Check Policy
The request is checked against data-access and privacy policy before touching any real data.
Compute Securely
The LLM runs the analysis inside a secure boundary directly against the private dataset.
Return the Answer
Only the answer is returned to the user — never the raw records the model reasoned over.
Where It's Used
Anywhere a team wants LLM-powered insight without giving up data access
Enterprise Data Teams
Let analysts and product teams query sensitive internal data with an LLM, without expanding who has raw data access.
Regulated Industries
Use LLMs on customer or patient data in finance, healthcare and telecom without violating data residency or privacy obligations.
Cross-Team Collaboration
Multiple teams get AI-assisted insight from the same sensitive dataset without any of them being granted direct access to it.