Even in the hands of clinics, doctors, or researchers, your most sensitive health data should remain private, sovereign, and under your control.
In a live pilot across 30 European clinics, Billions Network (formerly Polygon ID) tech stack was used to protect sensitive mental health records, proving privacy at scale isn't just possible, it’s happening. The pilot, led by our partner BLOOCK, introduced DGUARD, a modular open-source framework designed to enable secure data sharing in one of the most sensitive arenas: mental healthcare.
Built on the Billions Network, DGUARD successfully protected patient records for individuals experiencing self-harm and eating disorders, while still enabling data-sharing between healthcare providers, researchers, and trusted institutions.
How It Works (Billions’ Privacy Stack)
DGUARD, built using the Billions Network infrastructure, enforces strict privacy, verifiability, and auditability by design. Here's how:
Self-Sovereign Consent System: Patients can transparently grant or revoke permission for data use via SSI-based authentication, keeping full control over their data.
Privacy-Preserving Authentication Toolkit: Uses zero-knowledge proofs (ZKP) to enable anonymity with segmentation, meaning researchers can work with data patterns without ever seeing personal identities.
Proxy Re-Encryption Scheme: Data remains encrypted. No matter where it’s stored or who’s handling it. Encryption and key rotation are built-in.
Blockchain-Based Audit Trail: Every interaction is immutably recorded, offering full traceability and accountability. No more black boxes.
The system is completely open source, which means anyone can see how it works, contribute to it, and verify that it functions correctly.
A Glimpse Into the Future of Health Data
This European pilot isn’t just a healthcare success story, it’s a proof point that the zero knowledge privacy technology of Billions Network leveraged by BLOOCK’s DGUARD platform offers a promising, scalable path forward for secure, user-owned health data spaces.
Whether it’s patient data or AI agent reputations, our core premise remains the same: trust must be verifiable, privacy-preserving, and user-controlled.
