Feature: End-to-End Encryption for AI Workflows #53
Description
Is your feature request related to a problem? Please describe.
Current AI workflows may expose sensitive data during processing, transmission, and storage. Organizations with confidential data need guarantees that their information remains encrypted throughout the entire AI pipeline, similar to what PrivateMode AI offers.
Describe the feature you are requesting, as well as the possible use case(s) for it.
Implement end-to-end encryption for all AI workflows:
- Client-side encryption of prompts and data before transmission
- Encrypted processing in memory using confidential computing
- Encrypted model weights and parameters
- Secure key management and rotation
- Hardware-backed security using TEEs (Trusted Execution Environments)
- Cryptographic attestation for runtime verification
Use cases:
- Healthcare organizations processing patient data
- Financial institutions with sensitive financial information
- Legal firms handling confidential client communications
- Government agencies with classified information
- Enterprise customers with proprietary business data
Indicate the importance of this feature to you.
Must-have
Anything else?
should include aTLS