CONTINUOUS ENCRYPTION FOR ENTERPRISE AI
The AI Encryption Layer
Run AI on your most sensitive data without ever exposing it in plaintext.
FHEnom for AI™ keeps your datasets, model weights, prompts, and outputs encrypted throughout the AI lifecycle. Deploy across cloud, on-prem, and edge infrastructure while retaining control of the data and IP that create your advantage.
100% Encrypted. 0% Plaintext. Confidential AI.
FIPS 140-3 Validated
Quantum-Resistant by Design
Zero Plaintext
Zero Performance Hit
HOW FHENOM FOR AI™ WORKS
Continuous Encryption Across the Entire Al Pipeline
01
Encrypt the Model
Model weights, parameters, tensors, and architecture are encrypted using FHE. Existing pre-trained models or new foundation models can be encrypted and deployed to any infrastructure — cloud, on-prem, or edge.
02
Encrypt the Data
Prompts and queries are encrypted at the trust boundary using an ephemeral session key. Data never leaves your logical control in plaintext.03
Compute on Ciphertext
Optimized FHE engine processes data directly on GPU cores – no decryption at any stage. Tensors and KV cache remain encrypted throughout inference. Optional TEE integration available for hardware-hardened key custody.
04
Return Encrypted Results
Inference outputs are generated in encrypted form and returned to the client. Only the session key holder decrypts. Zero exposure at any point.The Problem
Al Compresses Your Company's Knowledge Into a Model
of employee Al inputs now contain sensitive data – up from 11% in 2023
enterprise Al credentials found on the dark web in 2025
of IT leaders report concern about data exposure through Al tools
Every dataset you feed Al – customer data, financial records, internal documents — contributes to a model that represents your organization’s collective knowledge. That makes Al models one of the most concentrated assets in the enterprise. Yet most Al systems process that data without encryption. The model, the prompts that query it, and the outputs it generates all exist unprotected during inference — the exact moment they’re most valuable and most vulnerable.
AI Data Classification
Four Tiers of AI Data Security
Not all data requires the same level of protection. But when the classification demands it, only one tier delivers zero plaintext exposure.
TIER 1 – PUBLIC
Standard Cloud Al
DATA TYPES
Open-source datasets, public knowledge bases, anonymized marketing data.
ACCEPTED SECURITY
Encryption at Rest and in Transit only.
THE PLAINTEXT REALITY
Data is plaintext in CPU, GPU, Bus, and Memory.
VENDOR FIT
OpenAl, Standard AWS / Azure / GCP
TIER 2 – INTERNAL
Basic Hardware CC
DATA TYPES
Routine operational analytics, internal communications, low-risk business logic.
ACCEPTED SECURITY
Intel TDX, AMD SEV – CPU-level TEE isolation.
THE PLAINTEXT REALITY
Decrypted inside the CPU enclave. Plaintext on the bus.
VENDOR FIT
Standard TEE Wrappers
Confidential Computing
TIER 3 – CONFIDENTIAL
Advanced Hardware CC
DATA TYPES
Standard PII, generalized financial metrics, basic SOC2 compliance workloads.
ACCEPTED SECURITY
Advanced Confidential Computing with GPU-level encryption.
THE PLAINTEXT REALITY
Encrypted in VRAM, but still decrypted at the cores for computation.
VENDOR FIT
Elite CC Providers
Confidential Computing
TIER 4 – RESTRICTED
Encrypted Execution
DATA TYPES
Regulated PHI (HIPAA), cross-border finance, sovereign data, pharma R&D, modelACCEPTED SECURITY
FHEnom for Al™ – Continuous Fully Homomorphic Encryption.THE PLAINTEXT REALITY
Zero Plaintext. Computation occurs entirely on ciphertext.VENDOR FIT
DataKryptoWhat's Unprotected Below Tier 4
Prompts & Queries
Business logic, PIl, and strategic questions – decrypted during every inference cycle.
Model Weights & IP
Your most valuable Al asset, sitting unprotected in GPU memогу
Inference Outputs
Predictions, classifications, and generated responses – produced in the clear
Training Data
Datasets used fine-tuning and RAG, decrypted for processing
Multi-Party Data
Cross-organizational data requiring every party to trust the enclave provider
At Tier 4, none of these ever leave encryption.
What happens if you choose the wrong tier?
A CISO classifies their organization’s most sensitive assets — sovereign data, pharmaceutical IP, trade secrets — as Restricted. They evaluate AI security solutions and select a Tier 3 provider: advanced Confidential Computing with hardware-level GPU encryption.
The CISO authorized Restricted data to leave the organization under Tier 3 protection. The data required Tier 4. The breach isn’t a technology failure — it’s a classification mismatch.
STEP 1 — ASSESSMENT
The CISO evaluates the Tier 3 solution. Hardware enclaves, encrypted VRAM, attestation — it looks solid. The security team approves sending Restricted data to the third-party AI platform.STEP 2 — DEPLOYMENT
Restricted data leaves the organization. It enters the third-party infrastructure and is decrypted at the GPU cores for computation. The data exists in plaintext during every inference cycle.
STEP 3 — BREACH
The third party is compromised. An insider or a side-channel exploit extracts data from GPU memory during computation. Because Tier 3 still decrypts at the cores, the plaintext was there to steal.
Tier 4 eliminates this risk entirely. With FHEnom for AI™, the data never exists in plaintext — not in memory, not at the cores, not anywhere on the infrastructure. Even if the third party is fully compromised, the attacker gets ciphertext. There is nothing to steal.
SEE THE DIFFERENCE
The Evolution of Al Data Security
Follow a single inference request across the three architectures. See how hardware isolation fails at the software layer – and how encrypted execution solves it.
Tier 2
Standard CPU Enclaves
The standard Confidential Computing model (Intel TDX, AMD SEV). Data is decrypted at the CPU. The entire downstream pipeline is exposed.
⚠ Data leaks across the PCIe bus, VRAM, and GPU execution cores.
Tier 3
Advanced CC (NVIDIA)
Blackwell (B200) architectures encrypt the PCIe bus and VRAM physically, but the data is still decrypted for the software layer to process it.
⚠ Hardware is secure, but a breached application or OS yields pure plaintext.
Tier 4
Encrypted Execution
FHEnom for AI™ replaces hardware isolation with math. The prompt and the model weights remain ciphertext inside the memory, inside the OS, and inside the GPU cores.
✔ Zero Plaintext. A breached application yields only mathematically secure ciphertext.
Tier 2
Standard CPU Enclaves
The standard Confidential Computing model (Intel TDX, AMD SEV). Data is decrypted at the CPU. The entire downstream pipeline is exposed.
⚠ Data leaks across the PCIe bus, VRAM, and GPU execution cores.
Tier 3
Advanced CC (NVIDIA)
Blackwell (B200) architectures encrypt the PCIe bus and VRAM physically, but the data is still decrypted for the software layer to process it.
⚠ Hardware is secure, but a breached application or OS yields pure plaintext.
Tier 4
Encrypted Execution
FHEnom for AI™ replaces hardware isolation with math. The prompt and the model weights remain ciphertext inside the memory, inside the OS, and inside the GPU cores.
✔ Zero Plaintext. A breached application yields only mathematically secure ciphertext.
Tier 2
Standard CPU Enclaves
The standard Confidential Computing model (Intel TDX, AMD SEV). Data is decrypted at the CPU. The entire downstream pipeline is exposed.
⚠ Data leaks across the PCIe bus, VRAM, and GPU execution cores.
Tier 3
Advanced CC (NVIDIA)
Blackwell (B200) architectures encrypt the PCIe bus and VRAM physically, but the data is still decrypted for the software layer to process it.
⚠ Hardware is secure, but a breached application or OS yields pure plaintext.
Tier 4
Encrypted Execution
FHEnom for AI™ replaces hardware isolation with math. The prompt and the model weights remain ciphertext inside the memory, inside the OS, and inside the GPU cores.
✔ Zero Plaintext. A breached application yields only mathematically secure ciphertext.
TECH NOTE Why aren’t Tiers 2 & 3 quantum safe? TEE security relies on RSA/ECDSA for attestation and Diffie-Hellman for key exchange — all vulnerable to Shor’s algorithm. These cryptographic primitives are baked into the hardware at manufacturing and cannot be upgraded to NIST post-quantum standards without new silicon — a multi-year hardware refresh cycle. FHEnom for AI™’s encryption is quantum-resistant by mathematical design. No new hardware. No migration. No NIST retrofit required.
SOVEREIGN AI
Your Data. Any Cloud. Zero Exposure.
Data sovereignty regulations require that sensitive data never leave jurisdictional control — but on-prem GPU capacity is finite. Cloud burst is the answer, except it means trusting a third-party provider with your plaintext.
FHEnom for Al™ 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.
Jurisdiction-Agnostic
Process data in any cloud, any country. Jurisdictional access laws are irrelevant when there’s no plaintext to access.
On-Prem to Cloud Burst
Extend capacity to cloud without re-architecting. FHEnom for AI™ handles encryption transparently at the boundary.
No Hardware Trust Required
Sovereignty doesn’t depend on Intel, AMD, or NVIDIA attestation. Mathematical protection works on any hardware, anywhere.
Infrastructure Isolation vs. Encrypted Execution
TEEs are highly effective for general workload isolation — but when processing “Tier 4” AI data, the requirement to decrypt inside the enclave is a fatal flaw.
SECURITY PROPERTY
INFRASTRUCTURE ISOLATION (TEE)
ENCRYPTED EXECTION (FHEnom for AI)
CORE AI DATA PROTECTION (THE FATAL FIVE)
Data state during computation
Never decrypted — computed on ciphertext
Plaintext exposure window
Intel/AMD: memory encrypted, but plaintext inside TEE. NVIDIA: decrypted for compute.
None — zero plaintext at any point, on any hardware
Multi-tenancy risk
Hardware shared across tenants; vulnerable to side-channels
Cryptographic isolation replaces hardware isolation
Post-quantum readiness
Protocols upgradable; hardware limits apply
Built on CVP problem — quantum-resistant by design
AI inference performance
Near-native speed inside hardware enclave
Optimized FHE engine — matches plaintext performance
Show Full Technical Comparison
INFRASTRUCTURE & ISOLATION
Data protection at rest / transit
Industry-standard AES/TLS encryption
Continuous FHE + standard transport encryption
Guest OS / VM Isolation
Strong hardware-enforced hypervisor boundary
Not applicable — protects data directly, agnostic to OS
Legacy (Non-AI) workload support
High — drop-in support for most standard apps
Not applicable — protects data directly, agnostic to OS
Attestation / verification
Hardware-signed attestation of enclave state
Cryptographic proof — no hardware dependency
THREAT VECTORS
Side-channel attacks (SGAxe, Æpic)
Known attack vectors — patched reactively
Not applicable — no plaintext to leak
Firmware / microcode exploits
Active attack surface — proprietary code
Not part of threat model
Insider / privileged admin threat
Mitigated by isolation, but memory is plaintext
Eliminated — no one sees plaintext, ever
Physical / supply-chain attacks
Hardware-signed attestation of enclave state
Infrastructure-agnostic — math doesn’t depend on hardware
DEPLOYMENT & COMPLIANCE
Deployment flexibility
Requires specific TEE-enabled hardware (TDX, SEV, CC GPUs)
Any infrastructure — cloud, on-prem, edge
Guest OS / VM Multi-party data collaboration
Strong hardware-enforced hypervisor boundary
Each party keeps own keys — no shared trust required
Regulatory provability
Attestation logs — depends on vendor chain
Mathematically provable encryption — auditable
FHEnom for AI™ secures the PCI-Express and NVLink data paths — eliminating the “Transit Tax” of hardware encryption. In TEE-based architectures, data must be decrypted and re-encrypted at every CPU-to-GPU boundary crossing, creating repeated exposure windows on the bus. With FHEnom for AI™, data remains encrypted across all interconnects — the bus carries ciphertext, not secrets.
THE FHENOM FOR AI ADVANTAGE
What Encrypted Execution Delivers
Uncompromised Security
No decryption. No plaintext window. No side-channel exposure. Mathematical certainty, not hardware trust.
Zero Accuracy Loss
FHEnom for AI™ delivers bit-exact results—in FP32 deterministic mode, the encrypted model produces word-for-word identical outputs to its plaintext counterpart. Encryption adds security, not noise.
Deploy Anywhere
Cloud, on-prem, edge, or multi-party environments. Infrastructure becomes trusted by design-because it never sees your data.
Compliance by Architecture
Encryption is provable at every stage — audit trails are cryptographically verifiable
Secure Autonomous AI
Performance at Scale
Data Residency & Sovereignty
Process data globally while remaining legally local. Encryption at the source allows you to use any cloud jurisdiction without violating localization mandates or sovereign data laws.
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