Building a trusted foundation for confidential AI

AI is creating enormous opportunities for businesses. But as organizations move beyond experimentation and start putting AI into production, a harder question emerges:

How do you use your most sensitive data with advanced AI models without losing control of either one?

Imagine a bank that wants an AI model to analyze sensitive financial records. Or a healthcare organization that wants to use AI to uncover insights from clinical data. The potential value is significant—but simply sending that information to an external AI service may not be an option.

That’s where confidential AI comes in.

Protecting data while AI is using it

For years, organizations have focused on protecting data when it is stored and when it is moving across a network.

AI introduces another challenge: protecting data while it is actually being processed.

That matters because many of the organizations with the most valuable AI opportunities also have some of the strictest requirements around their data….