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🔒 Confidential Computing and P March 25, 2026 12 min read

Intel TDX vs AMD SEV-SNP vs ARM TrustZone: TEE comparison

Confidential Computing and P Enterprise Guide 2026 SCALE D2C D2C Technology Confidential Computing and P Enterprise Guide 2026 SCALE D2C D2C Technology

Trusted Execution Environments (TEEs) are the foundational hardware technology of confidential computing — and in 2026 enterprises must choose between three competing architectures: Intel TDX, AMD SEV-SNP, and ARM TrustZone. Each offers different security guarantees, deployment models, performance overheads, and cloud support. This technical comparison helps enterprise architects select the right TEE technology for their specific confidential computing requirements.

What Are Trusted Execution Environments?

A Trusted Execution Environment is a secure, isolated region of a processor where code and data are protected from access by all other software, including the operating system, hypervisor, and other applications. TEEs use hardware-enforced memory encryption and access controls to guarantee that even the cloud provider or system administrator cannot access the data being processed inside the TEE.

TEE — Core Properties
All TEE implementations share four core properties: (1) Isolation — code and data inside the TEE cannot be accessed by software outside it; (2) Memory encryption — TEE memory is encrypted with keys held inside the CPU; (3) Remote attestation — the TEE can cryptographically prove to external parties that it is running genuine hardware with the correct code; (4) Sealed storage — data can be encrypted in a way that only the same TEE (same code on same hardware) can decrypt it.

Intel TDX vs AMD SEV-SNP vs ARM TrustZone: Technical Comparison

PropertyIntel TDXAMD SEV-SNPARM TrustZone
Protection granularityFull VM (Trust Domain)Full VM (encrypted virtual machine)CPU partition (Secure World vs Normal World)
Memory encryption keyPer-TD hardware key, managed by Intel TDX ModulePer-VM hardware key, managed by AMD Secure ProcessorSecurity State partition — no memory encryption in standard TrustZone
Memory integrityYes — detects memory tampering via integrity treesYes (SNP adds memory integrity over SEV and SEV-ES)Limited — depends on SoC implementation
Migration supportLive migration with attestation (Intel TDX 1.5)Live migration available (SEV-SNP)Not applicable — device-bound
Performance overhead5–10% for VM-level workloads3–8% for most workloadsContext switch overhead (~1000 cycles)
Cloud support 2026Google Cloud C3 machines, Azure preview, AlibabaAWS Nitro Enclaves, Azure Confidential VMs, GCPAll ARM-based mobile and IoT devices, AWS Graviton
Best use caseLift-and-shift confidential VMs — minimal code change requiredLarge VM workloads — databases, ML trainingMobile and IoT — key storage, DRM, biometric processing

Intel TDX: Deep Dive

Intel Trust Domain Extensions (TDX) creates hardware-isolated virtual machines called Trust Domains (TDs). Unlike Intel SGX (which required application-level code changes), TDX protects entire VMs with minimal application modifications — making it the most practical TEE for lift-and-shift of existing enterprise workloads.

5–10%
Typical performance overhead of Intel TDX for general VM workloads — acceptable for most enterprise applications requiring data-in-use protection
0
Application code changes required to run existing workloads in a TDX Trust Domain — the primary advantage over Intel SGX which required application-level TEE APIs
4th Gen
Intel Xeon Scalable (Sapphire Rapids) and later — the minimum required Intel processor generation for TDX support in production data centre deployments

AMD SEV-SNP: Deep Dive

AMD Secure Encrypted Virtualization with Secure Nested Paging (SEV-SNP) encrypts individual virtual machines using per-VM keys managed by the AMD Secure Processor. The SNP addition (over SEV and SEV-ES) adds memory integrity protection — critical for production security, as memory tampering attacks were practical against SEV-only deployments.

ARM TrustZone: Deep Dive

ARM TrustZone partitions the CPU into two execution states: the Secure World (trusted code and data) and the Normal World (standard OS and applications). Unlike TDX and SEV-SNP, TrustZone is not a VM-level TEE but a CPU-level partition — making it ideal for mobile devices, IoT hardware, and embedded systems where it protects key storage, biometric processing, and DRM operations.

Enterprise TEE Selection Guide

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Cloud VM Workloads (Lift & Shift)
Use Intel TDX or AMD SEV-SNP depending on cloud provider: Google Cloud uses TDX for C3 confidential VMs; AWS Nitro Enclaves and Azure Confidential VMs use AMD SEV-SNP. Choose based on your existing cloud provider relationship. Both offer acceptable performance overhead for most enterprise applications.
📱
Mobile and IoT Security
Use ARM TrustZone — it is present in every ARM-based mobile device and most IoT SoCs. Ideal for: secure key storage, biometric template protection, mobile payment credentials, device attestation, and DRM. Works with OP-TEE (open-source trusted OS) for most enterprise deployments.
🗄️
Database and Analytics Workloads
Use AMD SEV-SNP — its 3–8% overhead is better than TDX for large memory footprint workloads like databases, data warehouses, and ML training. AWS Nitro Enclaves provide SEV-SNP for analytics workloads requiring confidential processing of sensitive datasets.
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Confidential AI Inference
Use Intel TDX with NVIDIA H100 CC mode — NVIDIA's Confidential Computing mode for the H100 GPU integrates with TDX to provide full confidential AI inference. Enables AI services on sensitive data without exposing data to the GPU infrastructure operator or cloud provider.
Designing Your Confidential Computing Architecture?

TEE selection is one component of a confidential computing architecture that also requires attestation service design, secure key management, and integration with existing DevOps and development workflows. Our teams design end-to-end confidential computing architectures for regulated enterprise workloads. Book a free advisory session to scope your confidential computing requirements.

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