Introduction
Fully homomorphic encryption (aka FHE) enables running arbitrary computer programs directly over encrypted data without ever decrypting that data. This allows us to improve existing applications across finance, machine learning and much more. Imagine being able to trade on-chain while protecting your alpha or create AI agents trained on any data, no matter how sensitive. FHE provides users strong guarantees that their data is never revealed to anyone, not even the application developer or the cloud provider running the computation. Data breaches become a thing of the past, and users can safely use applications without worrying about their data being leaked or misused.
Unfortunately, integrating FHE technology into an application is incredibly challenging. To get good performance with FHE, the application developer needs to understand quite a bit about the underlying math while still ensuring the parameters are secure. Furthermore, additional infrastructure needs to be set up (from storage to key management and access control). These challenges serve as a significant barrier to entry, and has limited the adoption of FHE in real-world applications thus far.
That’s why we have built the Secure Processing Framework (SPF), a comprehensive solution that allows developers to easily create, deploy, and use FHE programs in web2 and web3. We handle all the hard tasks on your behalf — you write normal apps as usual while we optimize and provide the infrastructure to run your programs. With SPF, web3 users benefit from blockchain’s decentralization, transparency and verifiability, without having to make their data public on a public blockchain. They can bid in auctions, play poker, vote, and trade, with the actual contents (bids, hands of poker, votes, orders) encrypted and known only to themselves, while the state transition is verifiable in accordance with web3’s paradigm — the best of both worlds!
Currently, you can use SPF on Ethereum’s testnet (Sepolia) and Monad (testnet). If you’d like another chain supported, please drop us a message.