Primus Labs: Making Data Useful Without Giving Everything Away Think about the last time you had to prove something about yourself online. Maybe your income, your account balance or your identity. Most services ask you to share information before they can make a decision. The problem is that they often get access to more than they actually need. @primus_labs is working on this problem with two technologies: zkTLS and zkFHE. They serve different purposes, but the idea behind both is simple: give applications the information they need without exposing everything else. 1. zkTLS: Proving What Is True Suppose a DeFi protocol requires users to have a certain amount of money in their bank accounts before they qualify for a service. You have the required balance, but you don't want to share your entire bank statement or transaction history. zkTLS helps address this kind of problem by making it possible to verify information obtained from websites and online services without necessarily revealing all the data behind it. This could be useful for verifying exchange activity, proving financial eligibility or bringing information from web services into blockchain applications. The point is to make information from the internet verifiable without asking users to disclose more than necessary. 2. zkFHE: Working With Data That Stays Encrypted Now, proving that information is genuine isn't always enough. Sometimes an application needs to do something with it. For example, a lending protocol might need to calculate someone's financial risk. How can it do that without getting unrestricted access to their private financial information? Fully Homomorphic Encryption (FHE) allows computations to be performed on encrypted data without decrypting it first. That means an application can process information and obtain a result while the underlying data remains encrypted. This could be useful for private financial analysis, credit assessments and AI applications that handle sensitive information. Zero-knowledge proofs can also help verify that certain computations were carried out correctly, depending on how the system is designed. So the distinction is straightforward: zkTLS helps establish that information is genuine, while zkFHE makes it possible to compute on encrypted information. 3. Where The Two Meet Consider a lending application that needs to check whether someone qualifies for a loan. zkTLS could help verify relevant information from an online source. zkFHE could then be used to process suitable encrypted inputs without exposing the underlying data to the party performing the computation. The application gets what it needs to make a decision, while the user reveals less of their private information. The exact privacy guarantees depend on the implementation, but the idea is worth paying attention to. Why This Matters For Web3 Blockchains make transactions and records easy to verify, but that transparency can become a problem when sensitive information is involved. Putting private financial details on a public blockchain is hardly ideal. Keeping everything private, on the other hand, can make verification difficult. This is part of the problem Primus Labs is trying to solve. zkTLS helps connect information from the web to verifiable applications. zkFHE offers a way to work with data while it remains encrypted. Together, they could have applications in DeFi, institutional finance and AI systems that need access to sensitive information. What interests me most is the possibility of proving something without having to reveal everything behind it. You shouldn't have to hand over your entire financial history just to prove one thing about your finances. That's the idea behind these technologies, and it's why Primus Labs is worth paying attention to. Explore: https://t.co/JGGVjqaoJ4