verifying where financial data came from and processing that data without revealing it are two different technical problems. @primus_labs uses two technologies to address them. 👉🏻 zkTLS and Fully Homomorphic Encryption (FHE). understanding the difference is important. 1. zkTLS: proving the source of information when you access an exchange account, your information is delivered through an encrypted TLS connection. zkTLS builds on this process to generate cryptographic proofs about information retrieved from web sources, allowing an application to verify relevant data without requiring the user to disclose their entire account information. for example, someone could prove a specific exchange balance without exposing their complete transaction history. 2. FHE: processing information without decrypting it traditional computation generally requires data to be available in a readable form. FHE changes that. it allows computations to be performed directly on encrypted data, with the results remaining encrypted until an authorised party decrypts them. for financial applications, this could allow sensitive balances or positions to be used in calculations without exposing the underlying values. why does the distinction matter? zkTLS helps establish the authenticity of offchain information. FHE enables computation while keeping that information encrypted. one addresses verification. the other addresses confidential computation. by bringing these capabilities into its infrastructure, @primus_labs is working towards onchain applications where sensitive information can be verified and used without unnecessary exposure. that’s an important technical foundation for privacy-preserving institutional finance. explore more on primus labs here: https://t.co/Fm2Bkqwkwi