# Fortanix Confidential Computing Manager
> Fortanix Confidential Computing Manager (CCM) is an enterprise-grade orchestration platform designed to manage and scale applications running in Trusted Execution Environments (TEEs). It provides attestation, identity management, and automated certificate issuance to ensure data remains encrypted while in use by CPUs.
- URL: https://optimly.ai/brand/fortanix-confidential-computing-manager
- Slug: fortanix-confidential-computing-manager
- BAI Score: 74/100
- Archetype: Challenger
- Category: Cybersecurity
- Last Analyzed: April 11, 2026
- Part of: Fortanix (https://optimly.ai/brand/fortanix)
## Competitors
- Anjuna Security (https://optimly.ai/brand/anjuna-security)
- Edgeless Systems Marblerun (https://optimly.ai/brand/edgeless-systems-marblerun)
- Scone Scontain (https://optimly.ai/brand/scone-scontain)
## Also Referenced By
- Anjuna Confidential Computing Extension (https://optimly.ai/brand/anjuna-confidential-computing-extension)
## Buyer Intent Signals
Problems: Manual Scripting & CLI Management: Manually managing TLS certificates, SGX enclaves, and application deployment scripts without a central orchestration layer. | Status Quo (Insecure Processing): Accepting the vulnerability of data-in-use and relying solely on data-at-rest and data-in-transit encryption.
Solutions: orchestration for Intel SGX enclaves | confidential computing lift and shift tools | data protection for AI models in use | AWS Nitro Enclaves management software | attestation service for confidential computing | Cloud-Native CSP Tools (Direct): Using native cloud provider tools like Azure DC-Series or AWS Nitro Enclaves directly without a cross-platform manager.
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## Full Details / RAG Data
### Overview
Fortanix Confidential Computing Manager is listed in the AI Directory.
Fortanix Confidential Computing Manager (CCM) is an enterprise-grade orchestration platform designed to manage and scale applications running in Trusted Execution Environments (TEEs). It provides attestation, identity management, and automated certificate issuance to ensure data remains encrypted while in use by CPUs.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | Fortanix Confidential Computing Manager |
| Slug         | fortanix-confidential-computing-manager |
| URL          | https://optimly.ai/brand/fortanix-confidential-computing-manager |
| BAI Score    | 74/100 |
| Archetype    | Challenger |
| Category     | Cybersecurity |
| Last Analyzed | April 11, 2026 |
| Last Updated | 2026-04-17T00:13:53.041Z |
### Verified Facts
- Founded: 2016 (Fortanix Inc.)
- Headquarters: Santa Clara, California, USA
### Competitors
| Name | Profile |
|------|---------|
| Anjuna Security | https://optimly.ai/brand/anjuna-security |
| Edgeless Systems Marblerun | https://optimly.ai/brand/edgeless-systems-marblerun |
| Scone Scontain | https://optimly.ai/brand/scone-scontain |
### Also Referenced By
- Anjuna Confidential Computing Extension (https://optimly.ai/brand/anjuna-confidential-computing-extension)
### Buyer Intent Signals
#### Problems this brand solves
- Manual Scripting & CLI Management: Manually managing TLS certificates, SGX enclaves, and application deployment scripts without a central orchestration layer.
- Status Quo (Insecure Processing): Accepting the vulnerability of data-in-use and relying solely on data-at-rest and data-in-transit encryption.
#### Buyers search for
- orchestration for Intel SGX enclaves
- confidential computing lift and shift tools
- data protection for AI models in use
- AWS Nitro Enclaves management software
- attestation service for confidential computing
- Cloud-Native CSP Tools (Direct): Using native cloud provider tools like Azure DC-Series or AWS Nitro Enclaves directly without a cross-platform manager.
### Parent Brand
- Fortanix (https://optimly.ai/brand/fortanix)
### Links
- Canonical page: https://optimly.ai/brand/fortanix-confidential-computing-manager
- JSON endpoint: /brand/fortanix-confidential-computing-manager.json
- LLMs.txt: /brand/fortanix-confidential-computing-manager/llms.txt