No single server ever sees your complete inference. Every connection is encrypted. Every handoff is cryptographically signed. Your data is protected at every layer.
Every request passes through multiple independent security layers before, during, and after processing.
Your prompt is encrypted the moment it leaves your device. Each server-to-server hop is independently encrypted. No intermediary can read data in transit.
Every server has a unique cryptographic identity. You can verify you are talking to the intended server. No impersonation, no fake servers.
Each server signs the activation tensors it passes using HMAC-SHA256. Any tampering is detected immediately before processing continues.
Every incoming tensor is validated against size bounds. Oversized payloads are rejected. Malformed inputs never reach the model.
Follow a single prompt from your device through the distributed network and back -- encrypted and verified at every step.
Plaintext on your device only
Encrypted before leaving
Converted to vectors
Split across servers
Signed at each handoff
Integrity confirmed
We use battle-tested protocols trusted by the world's most security-critical systems.
Transport Layer Security
Encrypts all data in transit between your device and every server in the pipeline.
Mutual authentication ensures both parties verify identity before exchanging data. Forward secrecy means even compromised keys cannot decrypt past sessions.
Banks, governments, healthcare systems, military communications.
Edwards-curve Digital Signature Algorithm
Generates unforgeable cryptographic identities for every server node.
Each server has a unique public-private key pair. The public key serves as its PeerID. Any message signed with the private key can be verified by anyone with the public key.
SSH keys, Signal Protocol, Tor network, cryptocurrency wallets.
Hash-based Message Authentication Code
Signs every tensor handoff between servers to detect any tampering.
A unique session key generates a cryptographic tag for each data payload. The receiving server recomputes the tag and compares. Any difference means the data was altered.
API authentication, JWT tokens, AWS request signing, blockchain verification.
No single server ever sees your complete inference. The distributed architecture is inherently more private than any centralized setup.
Your prompt is converted into high-dimensional vectors before it reaches the first transformer block. No server ever sees human-readable text -- only intermediate mathematical representations.
Server A processes layers 0-9, Server B handles 10-19, Server C takes 20-29. Each sees only a slice of the computation -- none has enough to reconstruct your original prompt.
Think of it like a relay race: each runner carries the baton for one leg, but no single runner knows the full route. And every handoff is cryptographically signed to prove no one switched the baton.
See why distributing computation across multiple servers provides inherently stronger privacy.
Deploy AI workloads with enterprise-grade security that is built into the architecture -- not bolted on as an afterthought.