Maximizing security by keeping sensitive processes on-device.
A key differentiator of VeilNet AI is its local-first architecture. All sensitive operations — including threat detection, key storage, and privacy routing — are executed directly on the user’s device.
Local Threat Detection: AI models run locally, preventing leakage of sensitive behavior patterns.
Encrypted Storage: Private keys and session data are never transmitted off-device, ensuring immunity against server breaches.
Opt-in Telemetry: For users who wish to contribute anonymized data to improve threat intelligence, VeilNet provides a fully transparent, opt-in telemetry model. This ensures collective learning without forcing participation or compromising user anonymity.
This design ensures that privacy and performance scale together while safeguarding against central points of failure.