1/ Why E3s Are a New Class of Secure Computation

Encrypted Execution Environments (E3s) combine #FHE, #ZKPs, and #MPC to achieve the holy grail of cryptography: secure, privacy-preserving & verifiable multi-party computation.

Here’s how E3s fit in today's private compute meta:

A protocol for Encrypted Execution Environments

3/ Multi-Party Computation (MPC)

MPC allows parties to compute a function over their inputs without revealing them, but can be inefficient at scale.

E3s use threshold cryptography & verifiable execution, ensuring privacy w/o requiring trust or adding excessive overhead.

4/ Zero-Knowledge Proofs (ZKPs)

ZKPs prove facts about data without revealing, but they don’t perform computation — they only verify.

E3s combine ZKPs with secure MPC, ensuring computations are both private and verifiable — without requiring a trusted prover.

5/ Trusted Execution Environments (TEEs)

TEEs rely on trusted hardware but introduce risks: side-channel attacks, firmware exploits, and more.

E3s don’t require hardware trust by using distributed key management. Even if some nodes are compromised, the system holds.

6/ Cloud Data & End-to-End Encryption

Cloud services protect data at rest and in transit, but data during computation is often exposed.

E3s keep data encrypted throughout the entire process, eliminating the need to trust any single provider or intermediary.

7/ Why E3s Matter:

By combining FHE, ZKPs, and MPC, E3s provide: 

🔹Privacy-preserving multi-party computation 
🔹Decentralized trust models 
🔹Verifiable, secure execution

8/ Build your own E3 program with our developer preview: https://docs.enclave.gg/introduction

And learn more about E3s at our blog:

8/ Build your own E3 program with our developer preview: https://docs.enclave.gg/introduction

And learn more about E3s at our blog: https://blog.enclave.gg/

2/ Fully Homomorphic Encryption (FHE)

FHE enables computation on encrypted data but relies on a single decryption key — a major vulnerability.

E3s solve this with single-use keys & threshold cryptography, distributing decryption across nodes to minimize key exposure.