Sedona, a self-custodial trading platform migrating to Arbitrum, is excited to announce its strategic partnership with Fhenix, a platform that computes sensitive data with full encryption. The purpose of this partnership is to replace Sedona’s existing Trusted Execution Environment (TEE)-based security model with fully Homomorphic Encryption. Basically, both firms specialize in protecting confidential data.
This integration powers private finance on Arbitrum, ensuring that user balances, portfolio positions, and Artificial Intelligence (AI) agent spending limits remain encrypted by default. Furthermore, Sedona was founded by Tyler Maxwell, a trading-first, self-custodial neo-bank that facilitates spot trading, perpetuals, and sketched products. Both platforms are expert in providing their services all over the world in terms of security and protection.
Fhenix and Sedona Advance Cryptographic Privacy for On-Chain Finance
Guy Itzhaki, CEO of Fhenix, admires Sedona in good words. He said, “Sedona is exactly the kind of application Confidential FHE was built for. Trading platforms and financial applications need privacy that extends beyond transactions to balances, positions, and increasingly the parameters that autonomous agents operate within.”
“By moving from trusted hardware to cryptographic guarantees, Sedona is showing how confidential finance can become a native capability on Arbitrum rather than an optional feature. We believe this partnership is an important step toward making privacy a default expectation for on-chain financial applications.”
Now, Sedona is shifting from the Seismic ecosystem to Arbitrum. Once that migration is finished, Sedona will deploy Fhenix’s CoFHE infrastructure, moving the platform’s privacy model from hardware-based trust assumptions to cryptographic guarantees. This integration is the first-type in its nature.
Replacing Hardware Trust with Fully Homomorphic Encryption
The landmark integration of Sedona and Fhenix is much more worthy for users and developers. Existing private Decentralized Finance (DeFi) solutions primarily depend on trusted execution environments, which only require users to depend on underlying hardware or on community-based models. Homomorphic encryption permits computations to be performed directly on encrypted data, diminishing those trust dependencies.
Tyler Maxwell, Founder of Sedona, also clarifies this integration. He said, “We started with TEEs because they were the most practical way to deliver privacy, but our goal has always been to remove trust assumptions wherever possible. Fully homomorphic encryption lets us protect sensitive financial data through mathematics rather than hardware, providing a much stronger foundation for the future of self-custody. “
“For many of our users – especially those in emerging markets who rely on stablecoins as their primary savings account and payment rail- financial privacy isn’t a luxury. It’s an expectation. Bringing FHE to Sedona means they can manage their assets, automate strategies, and use AI-powered tools without exposing the information that matters most.”
