PRIVACY PROTOCOLS

Rune Deep does not process data. We process intent. Our architecture is fundamentally designed to decouple intelligence from identity.

1. The Principle of Non-Observation

Traditional architectures rely on "Data Lakes"—centralized repositories where user data is aggregated, indexed, and vulnerable. Rune Deep operates on a "Data Void" principle. We do not aggregate user data because we do not transmit it.

2. Federated Processing (Edge-Native)

All raw input processing (Signal α, β, γ) occurs on the local device (Edge-Node). The only data transmitted to our servers are high-dimensional, anonymous gradients (Intent Vectors) which are mathematically proven to contain no personally identifiable information (PII).

3. Differential Privacy

Before any gradient leaves a device, statistical noise is injected into the dataset (ε-differential privacy). This ensures that even with infinite computing power, it is impossible to reverse-engineer a specific user's input from the aggregate model updates.

4. Homomorphic Encryption

When global aggregation is required, Rune Deep employs Homomorphic Encryption. This allows our servers to perform mathematical operations on encrypted data without ever decrypting it. The "Core" never sees the data it processes.

5. Data Retention

Since we do not collect raw data, we have no raw data to retain. Intent Vectors are ephemeral; they are consumed by the Global Model update cycle and discarded immediately after aggregation.

Legal Compliance

Rune Deep exceeds compliance requirements for GDPR, CCPA, and HIPAA. By architecture, we are "Zero-Knowledge" regarding user identity.