How to connect AI to sensitive on-prem data

​Most AI demos work because the data is easy to reach.

​Real enterprise data is not.

​It lives in private databases, internal APIs, customer VPCs and other systems security teams will never expose to the public internet.

In this session, we'll build an AI worker that runs inside a customer-owned environment while the AI agent stays in your cloud. The agent does the reasoning; the worker performs approved actions near the private data, like reading files, querying systems, and writing results back, without opening inbound ports or copying raw datasets upstream.

We'll show how to deploy the worker with Alien and how this architecture works across AWS, GCP, Azure, and on-prem environments, without opening inbound ports or asking customers to export raw datasets upstream.