➥ ZK, FHE, MPC and TEE are building the privacy stack for blockchain and AI
These technologies are often grouped together, but they solve very different problems.
– ZK → proves something is true without revealing the underlying data.
– FHE → computes directly on encrypted data.
– MPC → lets multiple parties compute without exposing private inputs.
– TEE → runs sensitive workloads inside protected hardware.
⓵ ZK is strongest for verification, private identity and blockchain scaling
Projects to watch:
» privacy execution → @aztecnetwork
» shielded transactions → @Zcash
» ZK scaling → @Starknet, @zksync, @Scroll_ZKP
⓶ FHE is focused on confidential smart contracts, private balances and encrypted DeFi
Projects to watch:
» FHE infrastructure → @zama @mindnetwork_xyz
» confidential coprocessors → @inconetwork, @fhenix
⓷ MPC is already widely used in custody, threshold signatures and shared computation
Projects to watch:
» private computation → @partisiampc
» institutional custody → @FireblocksHQ
» keyless wallets → @ZenGo
⓸ TEE offers the best performance for private AI, confidential execution and MEV protection
Projects to watch:
» confidential EVM → @OasisProtocol
» private smart contracts → @SecretNetwork
» confidential AI → @PhalaNetwork
» private block building → @flashbots_x
I don’t think one technology will win everything, because the strongest privacy systems will likely combine several of them.
ZK can verify, FHE can encrypt computation, MPC can distribute trust and TEE can improve performance.
The real winners will be the projects that make privacy fast, composable and easy enough for everyday users.
