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Safely Deploy AI Agents With Confidence

AI agents are quickly becoming our new co-workers and it's important that they are subject to many of the same data access processes to ensure that sensitive data is not used inappropriately or leaked. VeilStream is a PostgreSQL proxy server that sits between your production database and your AI agents to filter data.

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ADDRESSES FOUR COMMON PROBLEMS

Deploy VeilStream in Minutes to Safely Grant Access to Agents

Simple GUI or API for Configuring Filters

With VeilStream, data access filters can be set up through a GUI or API to integrate seamlessly into your deployment and management workflow.

Isolate Access During Critical Events

By channeling all AI agents through a single proxy server, it has never been easier to to pause access to the production database during critical events.

Anonymize Data

VeilStream looks like a normal PostgreSQL server to the AI agents but data can be anonymized. This is useful for testing and for ensuring that sensitive data is not accidently leaked to third parties. 

Onboard New Agents in Minutes

The initial set up of VeilStream can be done in less than five minutes. Once VeilStream is running, you can set up agent-specific filters in less than 60 seconds. 

Step 1: Deploy the VeilStream Proxy Server

Use Docker to easily deploy the VeilStream Proxy Server on your infrastructure alongside your PostgreSQL database. For read-only users, the proxy server looks and behaves like any other PostgreSQL server.

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Step 2: Create Filters

Use a simple UI or an API to set up dynamic row and column filters. Hide or anonymize data based on rules. Determine how schema changes will be handled.

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Step 3: Developers Connect to the VeilStream Proxy Server Through psql and Code

Developers can now direct your database users to connect to the VeilStream Proxy Server instead of your primary database. They will receive filtered data and you can easily adjust filters at any point in time using the simple GUI.

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Enterprise Level Data Filtering in Less Than Five Minutes

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