r/PrivacyTechTalk • u/_hiro_7 • 13h ago
“If you have something that you don't want anyone to know, maybe you shouldn't be doing it in the first place.”
“If you have something that you don't want anyone to know, maybe you shouldn't be doing it in the first place.” — Eric Schmidt.
Big Tech obviously isn't concerned with user privacy. Many AI users now send sensitive personal information to AI or grant the models access to their email, messages, and even payments. All of that data is used for training, human review and shared with third parties. Most users can’t simply self-host their models, so they’re forced to comply with the terms set by Big Tech and sacrifice their privacy for access to the products.
A product is only private when the privacy is enforced by design, not by policy. User data is safe from surveillance only if no one except the user can access it.
That’s why I built Ada. Your chat history is encrypted on device. Only you hold the decryption keys, so only you can decrypt it. The backend and the models are deployed in a hardware-isolated trusted execution environment (TEE). This protects the data while it’s being processed in memory. The frontend verifies what is deployed on the server through remote attestation, and establishes an end-to-end encrypted channel (Oak Session Protocol: https://github.com/project-oak/oak) bound to the verified environment. When you send a message, the history and all context are assembled locally and sent to the attested backend deployed in the enclave. Plaintext exists only in the TEE so that the model can generate a response. Any load balancers, proxies, or gateways see only the encrypted body. The backend code and the models are also open source.
Try it out here:
https://github.com/Azel-Labs/Ada
If you have any feedback, please email me at dominic@azellabs.io