Confidential Computing

[Anonymous No.53928914]

Confidential computing is the ability to process confidential data in a privacy preserving way, with end-to-end encryption. This is not possible with ZK proofs. Zero-Knowledge Proofs allow a prover to convince a receiver that a certain input is true without the receiver having to see the input. This definitely has a ton of good use-cases, but it's limited because it's not end-to-end privacy. For end-to-end privacy you need something different, which is where TEE's (Trusted Execution Environments) come into play. TEE's allow for encrypted data to be processed without the underlying data ever being revealed, not even to the person processing it, because it all happens inside of a secure lockbox within a CPU that no one, not even the host, has access to. This is also called a secure enclave.

One of the biggest things holding "crypto" and Web3 back at the moment is the lack of privacy preserving techniques. Why is this important? Because there are literally hundreds if not thousands of use-cases where privacy is necessary, such as when dealing with an individuals private data, or when dealing with game logic such as the answers to puzzles or fog of war, RNG, or when large enterprises don't want all of their data and information being public. These use cases extend very far, even into healthcare data, AI, and much more. The lack of privacy preserving techniques has more or less brought innovation in Web3 to a stand still, and are the literal missing key to the next frontier in DeFi and beyond.

There is precisely 1 (ONE) reliable project right now that is working to solve this problem, and it many ways, already has.

Do you know what it is?

[Anonymous No.53929189]

SCRT

[Anonymous No.53929697]

scam