Cypher Technical Documentation
  • Introduction
    • Overview
    • Key Features and Technical Advantages
    • Developer Focused Development
  • Technical Innovation
    • Fully Homomorphic Encryption EVM (fhEVM)
    • Layer 3 Architecture
    • Privacy-Preserving Data Management
    • Seamless Integration
    • Optimized for Privacy-Critical Applications
  • Cypher’s fhEVM Technology
    • What is fhEVM?
    • Architecture of fhEVM
    • Detailed Supported Operations in fhEVM
  • Deploying Smart Contracts on Cypher Testnet
    • Configuration and Deployment
    • Obtaining Testnet Tokens
  • Operations in a fhEVM Framework
    • Concepts
    • Random
    • Secret Store and Access Control in Encrypted Smart Contracts
    • Using fhevmjs for Encrypted Smart Contract Development
  • Tokenomics V2
    • $DEAI Token
    • Token Utility
    • Token Distribution
  • Cypher Layer 3 Tech Integration
  • Glossary
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  • Healthcare
  • Finance
  • AI and Federated Learning
  1. Technical Innovation

Optimized for Privacy-Critical Applications

Cypher’s platform meets the stringent requirements of privacy-focused industries, achieving compliance with global standards such as HIPAA and GDPR. It enables a wide variety of applications across:

Healthcare

  • Encrypted predictive analytics and secure AI-driven diagnostics.

  • Privacy-preserving patient data management, ensuring compliance with medical data regulations.

Finance

  • Secure real-time risk modeling and fraud detection.

  • Encrypted financial transactions with homomorphic computations for on-chain portfolio management.

AI and Federated Learning

  • Supports privacy-preserving federated learning, where model training occurs without exposing proprietary data.

  • Enables secure AI inference and analytics directly on encrypted datasets.

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Last updated 5 months ago