What Is Privacy-Preserving AI Technology?

Understanding the Core Technology

Privacy-preserving AI, as implemented in Mandala Chain's infrastructure, is built on three concepts that work together to create a novel approach to AI and blockchain integration.

First: Blind Computing

Imagine you need to have a confidential document translated from Indonesian to English. Traditionally, you would give the document to a translator who would read it, understand it, and translate it. The translator sees everything. Now imagine a magical translator who can perfectly translate your document without being able to read either the original or the translation. They work with scrambled symbols that mean nothing to them, yet somehow produce a perfect translation. This is blind computing, processing data without accessing it.

Second: Information-Theoretic Security (ITS)

Most encryption today is like a very complex lock. With enough time, computing power, or future technology (like quantum computers), any lock can potentially be picked. Information-Theoretic Security is fundamentally different. It's not a lock, it's making the information literally not exist in any single place. It's like taking a photograph, burning it, and scattering the ashes across a thousand locations. No amount of computing power can reconstruct something that doesn't exist in any recoverable form.

Third: Multi-Party Computation (MPC)

This is where the magic happens. Your data gets split into random fragments that are meaningless individually. Multiple computers each receive different fragments. Through sophisticated mathematical protocols, these computers can perform calculations on their fragments that, when combined, produce the exact same result as if they had processed your original data, but without any computer ever having access to that original data.