Data Security and Compliance Architecture
Eden AI uses a three-tier architecture to secure data:
Data transmission security
- Mandatory use of TLS 1.3 encryption for all API calls
- Sensitive operations require secondary validation (e.g., deletion of workflows)
Data-processing mechanisms
- The platform itself does not store the original user data, but only acts as a relay agent.
- Input data connects directly to the servers of the selected provider (if AWS model is selected the data reaches only AWS)
- Recall history is turned off by default and can be cleared at any time after it is turned on
Compliance Certification
- Audited for GDPR, CCPA, and other mainstream privacy regulations
- Regular third-party security penetration testing
- Provide data retention strategy documentation (https://www.edenai.co/data-compliancy)
For sensitive scenarios such as healthcare, it is recommended to give preference to locally deployed vendor models (e.g. AWS China services) and consult with the legal team to confirm specific compliance requirements.
This answer comes from the articleEden AI: Connecting over 100+ AI Models through a Unified APIThe
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