What Is a Trusted Execution Environment (TEE)? A Complete Guide for 2026
Trusted Execution Environments provide hardware-level isolation for sensitive computation. This guide explains how TEEs work, compares AWS Nitro Enclaves vs Intel SGX vs AMD SEV, and shows when your application needs one.

If you're building anything that handles private keys, medical records, financial models, or AI inference on sensitive data, you've probably asked: how do I make sure the cloud operator can't see my data?
Encryption at rest and in transit are table stakes. But what about data in use — the moment your code decrypts a secret, processes it, and acts on it? Standard cloud VMs leave that data exposed to the hypervisor, the host OS, and anyone with privileged access to the physical machine.
A Trusted Execution Environment (TEE) closes that gap. It's a hardware-enforced isolation boundary where even the infrastructure operator cannot access your data or tamper with your code while it's running.
How a Trusted Execution Environment Works
A TEE creates an isolated region of memory and computation that is protected by the CPU itself — not by software. The three key properties:
Hardware-encrypted memory — The CPU encrypts enclave memory with keys that only the hardware controls. The operating system, hypervisor, and other processes cannot read or write this memory, even with root access.
Code integrity measurement — When a TEE boots, the hardware computes cryptographic hashes of everything loaded into the enclave. These measurements — called Platform Configuration Registers (PCRs) — uniquely fingerprint the exact code running inside.
Remote attestation — The TEE hardware can produce a signed attestation document that proves to a remote party exactly what code is running, what kernel is loaded, and that the enclave hasn't been tampered with. The attestation is signed by a key embedded in the CPU at manufacturing time — it can't be forged.
Together, these properties mean you can verify what is running inside a TEE without trusting who is running it.
TEE vs Docker vs VMs: What's the Difference?
The confusion between containers, virtual machines, and TEEs is common. Here's how they actually compare:
| Property | Docker Container | Virtual Machine | Trusted Execution Environment |
|---|---|---|---|
| Isolation level | Process (kernel namespaces) | Hypervisor | CPU hardware |
| Host can read memory? | Yes | Yes (hypervisor) | No |
| Root access breaks isolation? | Yes | Partially | No |
| Code integrity proof? | No | No | Yes (attestation) |
| Protects against cloud operator? | No | No | Yes |
| Interactive access (SSH, exec) | Yes | Yes | No |
| Persistent storage | Yes (volumes) | Yes (disks) | No (ephemeral only) |
Containers and VMs protect workloads from each other. TEEs protect workloads from the infrastructure operator. They solve a fundamentally different threat model.
Major TEE Technologies in Production
AWS Nitro Enclaves
AWS Nitro Enclaves are the most accessible TEE technology for containerized workloads. They run on the Nitro hypervisor — the same one that powers all modern EC2 instances — and create a fully isolated virtual machine with its own kernel, no persistent storage, no external networking, and no interactive access.
Key properties:
- Runs standard Docker images without code modification
- Dedicated CPU cores and memory partitioned from the parent instance
- Communication only through a constrained vsock channel
- PCR-based attestation signed by AWS
- Available on most EC2 instance types
Nitro Enclaves are practical for production because you don't need to rewrite your application. If it runs in Docker, it runs in a Nitro Enclave.
Intel TDX (Trust Domain Extensions)
Intel TDX is Intel's current-generation confidential computing technology. It creates hardware-isolated Trust Domains (TDs) — full virtual machines with CPU-encrypted memory that the hypervisor cannot access.
Key properties:
- Full-VM encryption with hardware-enforced isolation
- No application code changes required
- Attestation through Intel's Trust Authority service
- Available on 4th Gen Xeon Scalable (Sapphire Rapids) and newer
- Used by Azure, GCP, and Alibaba Cloud confidential VMs
TDX replaces the older Intel SGX (Software Guard Extensions), which used per-process enclaves and required SDK integration. SGX is still found in some legacy deployments — notably Signal uses it for private contact discovery — but Intel has deprecated SGX on consumer CPUs and is directing new workloads to TDX.
AMD SEV-SNP (Secure Encrypted Virtualization)
AMD SEV-SNP (Secure Nested Paging) encrypts entire virtual machine memory at the CPU level. Unlike SGX, it doesn't require code changes — the entire VM is the enclave.
Key properties:
- Full-VM encryption with integrity protection
- No code modifications needed
- Protection against hypervisor-based attacks
- Attestation signed by AMD's platform security processor
- Used by Azure Confidential VMs and Google Confidential Compute
SEV-SNP is the simplest "lift and shift" approach — existing VMs gain hardware encryption without application changes.
Which TEE Technology Should You Use?
| Use case | Best TEE | Why |
|---|---|---|
| Containerized services (APIs, bots, agents) | AWS Nitro Enclaves | Run Docker images directly, strong isolation model |
| Confidential VMs on Intel hardware | Intel TDX | Full-VM encryption, no code changes, broad cloud support |
| Lift-and-shift existing VMs | AMD SEV-SNP or Intel TDX | No code changes, full-VM encryption |
| Multi-cloud confidential compute | SEV-SNP, TDX, or Nitro | All three supported by major cloud providers |
What Is Attestation and Why Does It Matter?
Attestation is the feature that makes TEEs fundamentally different from any other isolation technology. It provides cryptographic proof of what code is running inside the enclave.
When a TEE boots, the hardware measures everything loaded into it and records these measurements in Platform Configuration Registers:
| PCR | What it measures | What it proves |
|---|---|---|
| PCR0 | Enclave image | The exact Docker image / binary running |
| PCR1 | Linux kernel | The kernel hasn't been modified |
| PCR2 | Application code | The application matches the expected build |
| PCR8 | Signing certificate | The enclave was signed by a trusted party |
A remote client can request an attestation document, verify the PCR values against known-good hashes, and confirm the attestation signature traces back to the hardware manufacturer (AWS, Intel, or AMD). If any of these checks fail, the client knows the enclave has been tampered with.
This enables zero-trust verification: you don't need to trust the operator, the cloud provider, or the network. You verify the hardware attestation.
When Your Application Needs a TEE
Not every workload needs hardware isolation. TEEs add operational complexity and constraints (no SSH, no persistent storage, constrained I/O). Use one when:
You handle private keys — Blockchain wallets, signing services, certificate authorities, and key management systems. A TEE ensures private keys are generated and used inside the enclave boundary, never exposed to the host.
You process regulated data — Healthcare (HIPAA), financial (SOX, PCI-DSS), or EU data (GDPR) where you need to prove data was processed in a controlled environment. Attestation provides the cryptographic audit trail.
You run untrusted or multi-tenant workloads — If your platform runs code submitted by third parties (like a compute marketplace), TEEs prevent workloads from accessing each other's data even if they share infrastructure.
You need verifiable computation — When external parties need proof that your code ran correctly and wasn't tampered with. Attestation lets anyone verify the computation without trusting the operator.
You're building autonomous AI agents — Agents that handle API keys, sign transactions, process sensitive data, or make financial decisions. A TEE ensures the agent's secrets and actions are protected from the infrastructure.
How Treza Makes TEEs Accessible
Deploying and managing TEEs from scratch involves provisioning EC2 instances, building enclave images, configuring vsock channels, handling attestation flows, and managing lifecycle — significant infrastructure work.
Treza abstracts all of this into an API, SDK, and CLI:
import { TrezaClient } from '@treza/sdk';
const treza = new TrezaClient({
baseUrl: 'https://app.trezalabs.com',
});
// Deploy a Docker image into a Nitro Enclave
const enclave = await treza.createEnclave({
name: 'my-secure-workload',
region: 'us-east-1',
walletAddress: '0xYourWallet...',
providerId: 'aws-nitro',
providerConfig: {
dockerImage: 'myorg/my-app:latest',
cpuCount: '2',
memoryMiB: '1024',
workloadType: 'service',
},
});
// Verify attestation — cryptographic proof of what's running
const verification = await treza.verifyAttestation(enclave.id, {
nonce: 'session-' + Date.now(),
});
console.log(verification.isValid); // true
console.log(verification.trustLevel); // 'HIGH'You get hardware-isolated compute, cryptographic attestation, and lifecycle management without touching AWS infrastructure directly. AI agents can discover Treza enclaves via the MCP Registry and pay for services autonomously using x402 micropayments.
Further Reading
- Treza documentation — Quickstart guides, attestation, and API reference
- x402 payment integration — Autonomous micropayments for TEE services
- Treza SDK on GitHub — Open-source SDK and MCP server
- AWS Nitro Enclaves documentation — AWS reference docs
Treza builds privacy infrastructure for crypto and finance. Deploy workloads in hardware-secured enclaves with cryptographic proof of integrity. Learn more.
