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Processing proprietary enterprise data on a decentralized network requires a paradigm shift in security architecture. Vektor guarantees that node operators can process inference without ever having access to the underlying data or the model weights.

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256-bit End-to-End Encryption

All API requests submitted to the Vektor network are encrypted at rest and in transit using AES-256-GCM encryption.
  • In Transit: Data traveling between the client and the routing engine is secured via TLS 1.3.
  • At Rest: Temporary memory states on the GPU during processing are cryptographically isolated.

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Trusted Execution Environments (TEEs)

Vektor mandates that all Node Operators utilize hardware-level Trusted Execution Environments (such as NVIDIA Confidential Computing). A TEE creates a secure, isolated enclave within the GPU. When an inference request is processed:
  1. The encrypted data enters the secure enclave.
  2. It is decrypted only inside the enclave.
  3. The neural network processes the data.
  4. The output is re-encrypted before leaving the enclave.
Result: The Node Operator, the data center admin, and the Vektor protocol itself cannot physically view, intercept, or copy the data being processed.

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Cryptographic Verification

To prevent malicious nodes from returning falsified or “lazy” inference results to save compute power, Vektor employs Zero-Knowledge Machine Learning (zkML) proofs. Nodes must submit a cryptographic proof alongside their inference output, verifying that the computation was executed correctly according to the requested model.