𝗧𝗵𝗲 𝗙𝗼𝘂𝗿 𝗣𝗿𝗶𝗺𝗶𝘁𝗶𝘃𝗲𝘀 𝗣𝗼𝘄𝗲𝗿𝗶𝗻𝗴 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗮𝗯𝗹𝗲 𝗣𝗿𝗶𝘃𝗮𝗰𝘆 Quick breakdown of the core technologies enabling confidential computing: ➤ TEE (Trusted Execution Environments) Hardware enclaves that isolate computation. Near-native performance (5-15% overhead), but you're trusting the hardware/chip manufacturer. ➤ FHE (Fully Homomorphic Encryption) Compute on encrypted data without decrypting. Math-only trust, quantum-resistant, but still up to 1000x+ slower than plaintext operations today. Improving ~8x annually tho. ➤ MPC (Multi-Party Computation) Split secrets across parties so no single node sees the full picture. Sweet spot for threshold custody and collaborative compute. ➤ ZK (Zero-Knowledge Proofs) Prove something without revealing the underlying data. SNARKs for succinct/compact proofs, STARKs for quantum resistance. However, no single primitive solves everything. The future is hybrid: MPC+TEE for distributed trust with hardware acceleration, ZK+TEE for verifiable confidential compute, FHE+ZK for provable encrypted computation. The real unlock isn't private payments (e.g. Zcash). It's institutional DeFi without MEV, AI inference on sensitive data, and autonomous agents with verifiable behavior. Are you ready?