How does remote attestation provide cryptographic proof?

The CPU signs a measurement of the enclave's code and configuration with a hardware-rooted key. A verifier checks the signature against the silicon vendor's certificate chain, giving cryptographic proof of the exact workload running before any secret is released.

Why do regulated environments use secure enclaves?

Regulated environments — finance, healthcare, defense, and government — use enclaves to enforce data residency, least-privilege access, and provable policy execution required by FedRAMP, HIPAA, PCI DSS, GDPR, and CMMC, without trusting the underlying cloud operator.

Confidential Compute · Technical Guide

What Is a Secure Enclave?

Q: What is a secure enclave?

A secure enclave is a hardware-isolated trusted execution environment (TEE) that runs code and processes data in memory protected from the host operating system, hypervisor, and cloud operator, and produces cryptographic attestations proving what ran inside.

A hardware-isolated trusted execution environment that runs confidential workloads in memory the host cannot read, and produces cryptographic proof of exactly what ran inside.

A precise definition

A secure enclave — also called a trusted execution environment (TEE) — is a region of a CPU that isolates code and data from every other process on the machine, including the operating system, hypervisor, firmware, and the cloud provider operating the hardware. Memory inside the enclave is encrypted with a key that never leaves the silicon, so a compromised host cannot inspect, tamper with, or exfiltrate the workload.

The building blocks in production today are Intel SGX and TDX, AMD SEV-SNP, AWS Nitro Enclaves, Azure Confidential VMs, Google Confidential Space, and Apple's Secure Enclave Processor on consumer devices. Each provides the same three primitives: memory isolation, sealed storage, and remote attestation.

Cryptographic proof through remote attestation

Isolation alone is not enough. A relying party needs to know which binary is actually running before releasing a key or a dataset. Remote attestation solves this: the CPU takes a measurement — a hash of the enclave's code, configuration, and signing identity — and signs it with a hardware-rooted key anchored to the silicon vendor's certificate chain.

A verifier checks the signature and matches the measurement against a policy of approved builds. Only then is the enclave trusted with secrets. This is the cryptographic proof that separates confidential computing from ordinary encryption at rest: the proof binds a live workload to a specific, auditable piece of code.

Cyber policy enforcement at the workload boundary

Traditional access control lives in the application layer, where a compromised admin or a misconfigured IAM rule can silently exfiltrate data. Enclaves invert that model. Data-release policies are compiled into the attested workload itself, so every access decision is enforced by hardware and provable after the fact.

This is what makes secure enclaves a durable substrate for cyber policy enforcement: the policy is not a suggestion the application chooses to follow — it is a precondition for the workload to receive its keys at all. Zero-trust architectures reach their strongest form here, because trust is grounded in silicon rather than in operator promises.

Confidential workloads in regulated environments

Regulated industries — defense, intelligence, financial services, healthcare, and critical infrastructure — face a common problem: they need the elasticity of public cloud but cannot cede visibility of their data to the cloud operator. Confidential compute closes that gap.

Defense and IC: CMMC 2.0, IL5/IL6, and NSA CSfC deployments use enclaves to keep classified data isolated from commodity infrastructure while sharing physical hardware.
Financial services: Clearing, cross-institution analytics, and PCI DSS workloads run in enclaves so counterparties can compute jointly without exposing raw positions.
Healthcare and life sciences: HIPAA and GDPR-scoped genomic and clinical pipelines use enclaves for federated analysis across hospitals without pooling PHI.
Government cloud: FedRAMP High and IRAP-certified deployments use attestation to prove workload integrity to auditors continuously, not just at accreditation time.

Threat model: what an enclave actually defends against

A secure enclave defends against a malicious or compromised host: rogue admins, kernel rootkits, hypervisor exploits, cold-boot memory attacks, and cloud-provider insiders. It does not defend against bugs inside the enclave itself, and side-channel research against SGX and SEV is ongoing. Serious deployments pair enclave isolation with minimized attack surface, reproducible builds, and continuous attestation so that any drift is detected before secrets are released.

A universal trust and policy layer

Individual enclaves solve isolation at a single node. Regulated deployments need a fabric: identity, policy, key release, and audit that span heterogeneous silicon and multiple clouds. That is the trust and policy layer — a control plane that verifies attestations, enforces release policies, and produces auditable cryptographic evidence for every confidential workload, whether it runs on SGX in a private datacenter or on Nitro in a public region.

This is the layer Vygl provides.