ENCRYPTED INFERENCE FOR ENTERPRISE
A private CodeZen node, your own policies, and inference that stays encrypted all the way into the GPU.
THE PROBLEM — DEFENCE IN DEPTH: WHAT IS PROTECTED AND WHAT IS NOT
Networks can be encrypted. Storage can be encrypted. But during conventional inference, your prompts may still exist as readable plaintext in application and GPU memory.
Zero data retention only covers storage. It says nothing about who reads the data while the request is running.
HOW IT WORKS — FROM CLIENT TO RESPONSE
The prompt leaves your client already encrypted and stays that way until it is inside attested, hardware-encrypted GPU memory. Every hop in between sees ciphertext only.
Your client encrypts the prompt
CIPHERTEXTProxy, host and network
CIPHERTEXTAttested gateway
CIPHERTEXTModel on a confidential-computing GPU
CIPHERTEXTEncrypted response
CIPHERTEXTConfidential compute boundary — hardware-encrypted memory
The decryption key is released only after the GPU proves, with a signature rooted in hardware and issued at manufacturing, that it is genuine, running unmodified firmware and in confidential-computing mode. If the proof fails, nothing is sent.
Confidential-computing mode adds a few percentage points of overhead on inference, plus a one-off attestation step when an instance starts. Throughput and latency for your workload are measured and agreed during scoping, not promised in advance.
Encrypted inference is the centrepiece. It ships alongside the rest of what makes a Custom deployment yours.
Your own CodeZen instance on dedicated capacity, isolated from other tenants. Dedicated capacity means your performance does not change when someone else's traffic spikes. Region, data residency and retention are set by you.
Your rules enforced inside the platform, not left to the model: which agents can run, which tools and data they may touch, what has to be approved by a human, what must never leave your perimeter. Every decision is written to an audit trail you can read.
Energy, seats, models and limits sized on your actual usage instead of a published tier. Single invoice, SLA, named contact, and onboarding run with your team.
Tell us your workload, your team size and your compliance constraints. We come back with an architecture and a quote.
Writes to sales@codezen.ai
Confidential-computing hardware is allocated per deployment and confirmed during scoping.
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