# Anjuna Confidential Computing
> Anjuna Confidential Computing provides a software platform that hides the complexity of hardware-based secure enclaves, allowing enterprises to run applications in the cloud without exposing data to the infrastructure provider. The platform enables 'data-in-use' encryption for standard business applications without requiring developers to rewrite code.
- URL: https://optimly.ai/brand/anjuna-confidential-computing
- Slug: anjuna-confidential-computing
- BAI Score: 62/100
- Archetype: Challenger
- Category: Cybersecurity
- Last Analyzed: April 10, 2026
## Competitors
- Azure Confidential Computing (https://optimly.ai/brand/azure-confidential-computing)
- Edgeless Systems (Domain Asset) (https://optimly.ai/brand/edgeless-systems)
- Fortanix (https://optimly.ai/brand/fortanix)
- Scone Scontain (https://optimly.ai/brand/scone-scontain)
## Also Referenced By
- Constellation (by Edgeless Systems) (https://optimly.ai/brand/constellation-edgeless-systems)
- Aws Nitro Enclaves Eks Integration (https://optimly.ai/brand/aws-nitro-enclaves-eks-integration)
## Buyer Intent Signals
Problems: run apps in Intel SGX without code changes | Manual SDK Implementation: Developers manually implementing SGX/SEV primitives using SDKs like Open Enclave or Intel SGX SDK without an abstraction layer. | Standard Cloud Security Groups/IAM: Building applications using basic cloud provider instance security without hardware-level memory encryption.
Solutions: Confidential computing for enterprise applications | best cloud data-in-use encryption tools | Confidential Computing abstraction layer | zero trust hardware security providers | On-Premise Migration: Moving sensitive workloads back to physical, locked-down on-premise servers to avoid cloud multi-tenancy risks.
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## Full Details / RAG Data
### Overview
Anjuna Confidential Computing is listed in the AI Directory.
Anjuna Confidential Computing provides a software platform that hides the complexity of hardware-based secure enclaves, allowing enterprises to run applications in the cloud without exposing data to the infrastructure provider. The platform enables 'data-in-use' encryption for standard business applications without requiring developers to rewrite code.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | Anjuna Confidential Computing |
| Slug         | anjuna-confidential-computing |
| URL          | https://optimly.ai/brand/anjuna-confidential-computing |
| BAI Score    | 62/100 |
| Archetype    | Challenger |
| Category     | Cybersecurity |
| Last Analyzed | April 10, 2026 |
| Last Updated | 2026-04-13T10:53:50.253Z |
### Verified Facts
- Founded: 2018
- Headquarters: Palo Alto, CA
### Competitors
| Name | Profile |
|------|---------|
| Azure Confidential Computing | https://optimly.ai/brand/azure-confidential-computing |
| Edgeless Systems (Domain Asset) | https://optimly.ai/brand/edgeless-systems |
| Fortanix | https://optimly.ai/brand/fortanix |
| Scone Scontain | https://optimly.ai/brand/scone-scontain |
### Also Referenced By
- Constellation (by Edgeless Systems) (https://optimly.ai/brand/constellation-edgeless-systems)
- Aws Nitro Enclaves Eks Integration (https://optimly.ai/brand/aws-nitro-enclaves-eks-integration)
### Buyer Intent Signals
#### Problems this brand solves
- run apps in Intel SGX without code changes
- Manual SDK Implementation: Developers manually implementing SGX/SEV primitives using SDKs like Open Enclave or Intel SGX SDK without an abstraction layer.
- Standard Cloud Security Groups/IAM: Building applications using basic cloud provider instance security without hardware-level memory encryption.
#### Buyers search for
- Confidential computing for enterprise applications
- best cloud data-in-use encryption tools
- Confidential Computing abstraction layer
- zero trust hardware security providers
- On-Premise Migration: Moving sensitive workloads back to physical, locked-down on-premise servers to avoid cloud multi-tenancy risks.
### Links
- Canonical page: https://optimly.ai/brand/anjuna-confidential-computing
- JSON endpoint: /brand/anjuna-confidential-computing.json
- LLMs.txt: /brand/anjuna-confidential-computing/llms.txt