Anjuna is a confidential computing platform that runs workloads inside hardware-backed Trusted Execution Environments (TEEs) to protect data in use, enforce attestation-based controls, and manage secret release and policy across multiple clouds and TEE technologies.
Published Aug 18, 2026
Vendor communications reference deployments in regulated industries and government; these are vendor-reported and should be validated in procurement reference checks.
| Starting Price | Marketplace and vendor listings indicate starter kit editions at an annual price in the low tens of thousands and platform licensing priced per vCPU annually in the low thousands (plus cloud infrastructure) | Cloud provider premiums for confidential VM/GKE/GPUs in addition to compute pricing; per-vCPU and per-resource premiums vary by architecture | No separate third-party vendor license; costs largely derive from EC2 instance selection and engineering/ops effort to implement enclave workflows |
| Typical fit | Enterprises seeking a cross-cloud operating model and policy-managed secret release with a vendor-provided toolchain | Teams primarily on GCP that prefer native confidential VMs/GKE/GPUs with cloud-integrated controls | AWS-centric teams prepared to implement enclave workflows directly using native AWS tooling |
| Key strength | Vendor tooling for multi-cloud TEE support and policy management | Native integration with Google Cloud control plane and pricing transparency | Native AWS capability that avoids third-party vendor licensing and benefits from deep platform integration |
| Key weakness | Limited public third-party review content; licensing costs can scale with vCPU consumption; public certification documents were not located in this research run | Limited to GCP; customers still need operational maturity to adopt confidential VMs effectively | Typically requires more engineering effort to productionize enclave-based workflows without third-party tooling |
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