Enclave เช‡เช‰ pfp
Enclave เช‡เช‰
@enclavee3
Introducing: Confidential Data Pools ๐ŸŒŠ Compute together, without giving up custody. Private inputs in. Verifiable results out. No intermediaries. No data sharing. No exposure. ๐Ÿ”ฝ
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Enclave เช‡เช‰ pfp
Enclave เช‡เช‰
@enclavee3
Most privacy tech protects against others. Enclave is built to compute with others. Confidential Data Pools let multiple parties contribute encrypted data to a shared computation, without revealing it to anyone, not even each other. https://blog.enclave.gg/confidential-data-pools-with-enclave/
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Enclave เช‡เช‰ pfp
Enclave เช‡เช‰
@enclavee3
CDPs are a design pattern not just for secure computation, but also for multi-agent collaboration: ๐Ÿ” Inputs stay encrypted ๐Ÿ™… No 3rd-party custody or access delegation โœ… Outputs are shared and verifiable Trust is cryptographic, not institutional.
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Enclave เช‡เช‰ pfp
Enclave เช‡เช‰
@enclavee3
How it works: Encrypted in โ†’ Confidentially Computed โ†’ Verified out ๐Ÿ”น Private inputs with FHE ๐Ÿ”น Verifiable execution using ZKPs ๐Ÿ”น No custody through DTC-managed ephemeral keys
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Enclave เช‡เช‰ pfp
Enclave เช‡เช‰
@enclavee3
Built for: ๐Ÿ“‰ Risk modeling between institutions ๐Ÿงฌ Research across hospitals (no patient data exposure) ๐Ÿง  AI inference on encrypted data ๐ŸŒ Climate models with sensitive industry data
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Enclave เช‡เช‰ pfp
Enclave เช‡เช‰
@enclavee3
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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