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𝟭𝟭 𝗽𝗿𝗶𝘃𝗮𝗰𝘆 𝗹𝗮𝘆𝗲𝗿𝘀 𝘁𝗵𝗮𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝗯𝗲 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗿𝗮𝗱𝗮𝗿.
Privacy in DeFi is not a one stop solution, but rather an evolving ecosystem of complementary layers.
1️⃣ @fhenix:
leverages on fhEVM for fully homomorphic encryption, enabling private DeFi smart contracts on Ethereum L2 with $450M TVL and 500+ dApps by Q3 2025.
2️⃣ @SecretNetwork:
uses TEE-based ‘𝘚𝘦𝘤𝘳𝘦𝘵 𝘊𝘰𝘯𝘵𝘳𝘢𝘤𝘵𝘴’ on Cosmos L1 for confidential lending and swaps, processing 1.2M daily transactions with $350M TVL.
3️⃣ @zama_fhe (fhEVM):
provides an open-source FHE libraries for encrypted DeFi computations like yield farming, supporting 20 TPS (scaling to 1K by 2026) across 200+ Ethereum-compatible protocols.
4️⃣ @OasisProtocol:
focuses on TEEs for confidential smart contracts on its L1, powering private RWA DeFi pools with $400M TVL and 10K+ TPS.
5️⃣ @inconetwork:
implements FHE for auditable, confidential DeFi dApps on Ethereum L2, with $200M TVL and 150K users post-Q1 2025 mainnet.
6️⃣ @PhalaNetwork:
runs on a TEE-based decentralized cloud for off-chain DeFi computations on Polkadot, handling $1B+ volume with 100K+ nodes.
7️⃣ @unichain:
utilizes TEEs for MEV-resistant block building on Ethereum L2, supporting fair DeFi ordering with $300M TVL, co-developed by Uniswap/Flashbots.
8️⃣ @HorizenLabs:
combines FHE and TEEs on Base L3 for compliant DeFi with private zk-proof verification, managing $150M TVL and $2.5M in grants.
9️⃣ @Arcium:
a TEE/MPC hybrid on Solana L1, secures private DeFi computations with $9M in funding, supporting 50+ dApps offering defense-in-depth for institutional-grade trading.
🔟 @nillion:
integrates FHE and MPC (TEE-compatible) for private DeFi auctions and intent matching, processing $500M+ volume via Petnet.
1️⃣1️⃣ @tenprotocol:
an Ethereum L2 rollup using TEEs for programmable privacy in DeFi, enabling confidential smart contracts for MEV-resistant trading and lending with a projected $180M TVL.
words to get familiar with;
*FHE → Fully Homomorphic Encryption.
*fhEVM → Fully Homomorphic Encryption Virtual Machine
*TEEs → Trusted Execution Environments.
*MPC → Multi-Party Computation
*TPS → Transactions Per Second.
*zk-Proofs → Zero-Knowledge Proofs.
true financial privacy requires both innovation and thoughtful implementation.
in my opinion, those that'll succeed will be find a balance in usability, security and regulatory compliance while giving users genuine control over our (financial) data.
privacy matters.
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