Enclave ઇઉ

@enclavee3

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63 Followers

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Most data-driven applications rely on collecting and warehousing massive amounts of data, creating a dangerous honeypot waiting to be breached. @auryn's vision with @enclavee3 flips this model: "Our goal is to stop aggregating raw data and start producing insights directly from data held by its rightful owners. That’s how we avoid creating honeypots in the first place." Beyond privacy, it’s about empowering individuals and organizations to control their data, participate in value creation, and reduce risks. Learn more about what Auryn is building at Enclave from our State of Crypto Privacy panel. https://www.youtube.com/watch?v=WlEwQ4paFNM&t=1063s

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When multiple parties compute on private data without exposure or leakage, something new emerges. Enclave turns privacy into infrastructure for collective intelligence.

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A new computational ecology needs to be radical.

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Gnosis Guild, the team behind Enclave's initial development, is hiring. Come build with us. 🪻

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If you're building encrypted programs, CDPs are a powerful new pattern. Private inputs, public proof, no data custody. Learn more about how Enclave enables CDPs: https://blog.enclave.gg/confidential-data-pools-with-enclave/

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Privacy Pools and CDPs serve different purposes, and can even complement each other. Together, they point to a broader shift: Privacy as infrastructure for both individual protection and multi-agent collaboration.

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Enclave's Confidential Data Pools (CDPs) do something different: 🔹 Multiple participants can pool encrypted inputs to a joint compute process. 🔹 No raw data is revealed. No trusted intermediary is required. 🔹 Only the verified output is ever decrypted and shared.

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Where Privacy Pools protect txn privacy, CDPs are for collaborative contexts: 🏥 Cross-institution research (w/o sharing datasets) 💸 Multiparty risk modeling (w/o exposing portfolios) 🧠 AI training on private data (w/o data leakage) 🌍 Encrypted public goods (w/o custody)

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Privacy Pools (by @0xbowio) offer private withdrawals using ZKPs and association sets. They unlink deposits from withdrawals without mixers, letting users protect privacy and meet compliance requirements. https://privacypools.com

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Privacy Pools ≠ Confidential Data Pools Both preserve privacy, but in very different ways. 🧵

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Encrypted execution + verifiable compute = a powerful combo. RISC Zero is an official compute provider in Enclave, making Boundless and @enclaveE3 a natural pairing. https://x.com/Roarxprince/status/1937094272815190481

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🗓️ Our co-founder @auryn is chatting E3s and data privacy at "The State of Crypto Privacy" online panel alongside folks from Zcash and Panther Protocol. Join us on July 1! https://x.com/mikewchan/status/1935372322916929939

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If computation allows us to model futures, then computation that is both confidential and verifiable allows us to build ones not yet seen. Enclave isn't reactive. It's generative, a tool for agency and worldmaking.

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📍 Berlin, June 13–18 🔹 Weekend: @web3privacynow.eth Hacks @auryn and giacomo mentoring and judging a hackathon squad 🔹June 16 Monday: DappCon Berlin keynote Auryn on Collaborative Confidential Compute: programmable privacy & coordination design for multi-agent systems Come out and hang with us!

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On the way to Berlin for this weekend's W3PN Hacks, as mentor and judge. Come say hi, and ask us about being a ciphernode. ઇઉ https://x.com/web3privacy/status/1933146911113908303

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🛠️ Want to build with E3s? Testnet is coming soon! Join the Telegram to stay updated: https://t.me/enclave_e3 For more on CDPs, read our blog post: https://blog.enclave.gg/confidential-data-pools-with-enclave/

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For developers and orgs: You define the computation. Enclave handles encrypted coordination across parties. No trust assumptions. No third-party custody required. A new model for multi-agent encrypted compute.

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Built for: 📉 Risk modeling between institutions 🧬 Research across hospitals (no patient data exposure) 🧠 AI inference on encrypted data 🌍 Climate models with sensitive industry data

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How it works: Encrypted in → Confidentially Computed → Verified out 🔹 Private inputs with FHE 🔹 Verifiable execution using ZKPs 🔹 No custody through DTC-managed ephemeral keys

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CDPs are a design pattern not just for secure computation, but also for multi-agent collaboration: 🔐 Inputs stay encrypted 🙅 No 3rd-party custody or access delegation ✅ Outputs are shared and verifiable Trust is cryptographic, not institutional.

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