Kishan web3

A financial institution might be willing to use blockchain but that doesn't mean it's willing to show everyone its trading positions, client information or internal financial records. And I don't think it should have to. At the same time, keeping everything private creates another problem. How can anyone verify that an institution meets certain financial requirements if nobody can examine the information behind its claims? This is something I've been thinking about while reading more about @primus_labs and its approach to confidential finance. —> Privacy and verification need to work together Imagine an investment fund wants to access an onchain financial service. The service needs to know whether the fund's exposure is within an acceptable limit. But the fund doesn't want to reveal every position in its portfolio just to prove that it qualifies. Normally, that's a difficult situation. The service needs reliable information, while the fund has legitimate reasons to keep its financial data confidential. Primus is developing infrastructure to help handle both requirements. —> Verifying information without exposing everything @primus_labs uses zkTLS to help applications verify the authenticity of information obtained from websites and APIs. Instead of relying on screenshots or statements that are difficult to check, applications can work with cryptographic attestations tied to the original data source. I think this becomes particularly useful when financial information needs to move between traditional systems and blockchain applications. Knowing that information came from the claimed source is an important first step. But there's still another problem. What if the application needs to calculate something using that private information? —> Using financial data while keeping it encrypted This is where Primus uses Fully Homomorphic Encryption, or FHE. FHE allows computations to be performed directly on encrypted data without first revealing the underlying values. For example, a financial application could potentially calculate whether a portfolio meets certain risk conditions without requiring every individual position to be publicly disclosed. The result could then help determine whether the required conditions have been satisfied. Of course, this doesn't automatically guarantee that the original financial information is accurate or that every calculation is trustworthy. The surrounding verification and application design still matter. But being able to separate the information that needs to be checked from the information that needs to remain private makes sense to me. —> Why I think this matters for onchain finance Institutions already operate under strict requirements around confidentiality, risk management and financial reporting. Expecting them to publish sensitive business information just to use blockchain applications isn't realistic. @primus_labs is building its verification and confidential computation infrastructure to work with existing blockchain ecosystems rather than requiring institutions to move everything onto a completely new network. I prefer that approach because the goal should be making existing financial activity easier to verify, not forcing companies to change how their entire business operates. There are still questions around integration, performance and how these systems handle real institutional requirements. But I would like to see more financial applications where people can verify the claims that matter without gaining access to information they don't need. That's the kind of privacy I can see institutions actually using. You can explore Primus and its XP tasks here: s.kaito.ai/g70fM3N #Primus #zkTLS #FHE #ConfidentialFinance