The first AI security platform that never decrypts your data. Fully homomorphic encryption purpose-built for AI inference and training — with zero performance penalty.
Every stage of the AI pipeline operates on ciphertext. There is no point — from ingestion to output — where data exists in plaintext on the infrastructure.
Model weights, parameters, and architecture are encrypted using FHE before deployment. Existing pre-trained or newly trained models can be encrypted and deployed to any infrastructure — cloud, on-prem, or edge.
Model key is triple-encrypted for TEE transfer. Key custody topology is established based on deployment scenario — on-prem, cloud, or mixed ownership.
Prompt encrypted at source with ephemeral session key. Data never leaves client control in plaintext.
Tokenization occurs in ciphertext space. No plaintext tokens are ever generated.
Encrypted model + encrypted prompt → encrypted output. GPU computes directly on ciphertext.
Detokenization in ciphertext space. Encrypted tensor outputs are converted back to encrypted token sequences.
Only the session key holder decrypts the response. Infrastructure never sees the output.
FHEnom for AI™ uses TEEs for key custody only — never for data processing. Whether a TEE is required depends on deployment topology.
Model owner and data owner both on-premises. Physical security provides key custody.
Model in cloud, thick client on-premises. Client holds keys locally.
Cloud deployment with thin client. Keys must be custodied in hardware-hardened enclave.
Different organizations own model and data. TEE provides neutral key custody.
FHEnom for AI™ uses TEEs for key custody only, never for data processing. This is fundamentally different from Confidential Computing, which decrypts data inside TEEs.
Generated once from model owner's secret. Encrypted with owner's password. Either delivered to owner or destroyed.
If TEE present: stored inside TEE and never leaves in any form.
TEE-to-TEE transfer uses triple encryption: user password + new TEE public key + TLS. The model key never exists in plaintext outside a TEE under any circumstances.
Created and destroyed with each session. Every session is cryptographically isolated from every other session.
No session key survives beyond its session. No correlation possible between sessions.
Even if one session key were compromised, zero other sessions are affected.
The five security properties that separate infrastructure isolation from encrypted execution.
Managed service providers are deploying FHEnom for AI™ to offer encrypted AI inference as a managed service — a GPU-level security layer their customers can't get anywhere else.
A Fortune 500 global SI with 350K+ employees training models on regulated client data — without the SI ever seeing the data or the model. Customer encrypts, SI trains blind.
On-prem GPU capacity is finite. Data sovereignty regulations require jurisdictional control. FHEnom for AI™ eliminates the trade-off: data is encrypted before it leaves your premises and stays encrypted throughout processing on any cloud, in any jurisdiction. The cloud provider processes ciphertext — they cannot see the data, the model, or the results. Sovereignty is maintained mathematically, not by hardware attestation in a foreign datacenter.
AI models contain all R&D IP. Loss of the model means loss of the business. FHEnom for AI™ encrypts the model so it can run on shared infrastructure without exposure.
FHEnom for AI™ deploys as a gateway VM that replaces your AI endpoint. Drop-in replacement — no application code changes required.
Use the FHEnom for AI™ CLI to encrypt your model. Encrypted tokenizer replaces the standard tokenizer when the model is placed in service.
Admin CLI configures the FHEnom for AI™ gateway VM to point to your encrypted vLLM endpoint. Supports vLLM; other frameworks (like Bedrock) coming soon.
Users interact with the FHEnom for AI™ endpoint instead of direct vLLM. Same API. Same behavior. Fully encrypted.
Performance claims independently verified by a third-party xPU manufacturer. Full benchmark results to be published shortly.
Proprietary cryptographic foundation. Encrypted tokenizer. Third-party validated benchmarks. Honest attack surface analysis. Defensible IP posture.
EXPLORE THE TECHNICAL DEEP DIVESchedule a technical demo with our engineering team. Bring your model. We'll encrypt it.