Thread - Nostr Hypermedia

> 48% of organizations and businesses risk security and intellectual property by entering non-public info into AI apps. Maple AI changes the game with end-to-end encryption for secure chats. Work and personal use, it's all private between you and the LLM. E2EE isn’t enough. Businesses risk their data because of the organization controlling the LLM on the other end of the connection. All encryption does is ensure the data isn’t intercepted on the way. Can you talk a little bit about what your organization does differently once the data reaches the AI chatbot?

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Replies (2)

Marks marks@primal.net 10 months ago

This is a new level of encryption. Confidential computing uses enclaves on both the CPU and the GPU to encrypt the data while processing. The services use attestation to verify that they are running the proper software and sever the connection if the code has been tampered with. So yes, E2EE typically is about encrypting data in transit. Now we can encrypt on the processing unit and in the memory.

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semisol semisol@nostr.land 10 months ago

Contrary to popular belief, enclaves do not have encrypted state The isolation and confidentiality is enforced by the AWS Nitro hypervisor Any code on the hypervisor can bypass confidentiality

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