What if a blockchain could process your financial activity without exposing the details behind it? That is the problem Primus Labs is working to solve with Fully Homomorphic Encryption (FHE), a technology that allows data to be processed while it remains encrypted. With its Confidential Finance product now live on BNB Chain, Primus is putting this cryptographic approach to work, bringing private transfers and yield generation to on chain finance. 𝑼𝒏𝒅𝒆𝒓𝒔𝒕𝒂𝒏𝒅𝒊𝒏𝒈 𝑭𝑯𝑬 𝒂𝒏𝒅 𝒁𝑲𝑭𝑯𝑬 Fully Homomorphic Encryption allows computations to happen directly on encrypted data without decrypting it first. Normally, a system needs access to readable data to process it. FHE changes that requirement by allowing mathematical operations to be performed on ciphertext, the encrypted form of the original information. The result remains encrypted until an authorised party decrypts it. The technical challenge is making these operations work securely and efficiently. FHE schemes use mathematical structures that preserve the relationships needed for computation, even after data has been encrypted. Depending on the scheme, these operations can introduce computational overhead and noise that must be managed to keep the results accurate. More advanced schemes support a wider range of computations, including complex operations that require multiple stages of processing. ZKFHE brings this approach together with zero knowledge cryptography. FHE makes computation on encrypted data possible, while zero knowledge proofs can establish that certain statements or operations are valid without revealing the private information behind them. Combining the two can help applications protect sensitive data while providing cryptographic assurance about relevant operations. 𝑯𝒐𝒘 𝑷𝒓𝒊𝒎𝒖𝒔 𝑷𝒖𝒕𝒔 𝑭𝑯𝑬 𝒕𝒐 𝑾𝒐𝒓𝒌 @primus_labs is applying FHE to on chain finance through its Confidential Finance product on BNB Chain. The aim is to let users transfer assets and earn yield while keeping sensitive financial information, including transaction amounts and positions, confidential. The process begins when a user shields supported assets, converting them into encrypted versions that can be used within the confidential system. Once the assets are represented in encrypted form, the system can perform supported operations on their encrypted values without exposing the underlying amounts during every computation. Primus’s Confidential Vault extends this approach to yield generation. Users can put supported assets to work through existing DeFi strategies while keeping their positions private. This is significant because confidentiality should not mean giving up access to financial applications. The goal is to preserve the utility of on chain assets while limiting the exposure of sensitive information. FHE is computationally demanding, so performance is a major part of making it practical. Encrypted operations can require considerably more processing than their ordinary counterparts. A system designed for real financial activity must therefore optimise its cryptographic operations, manage workloads efficiently, and keep transaction processing practical. Blockchains do not have to expose every financial detail to remain useful. Primus is working towards a system where computation can continue, assets can remain productive, and sensitive information does not have to become public by default. That is what makes FHE worth paying attention to: it moves blockchain privacy beyond hiding data and towards making private data usable.