๐Ÿ”Security & Privacy Protocols

We implement military-grade security through:

Data Protection:

  • Federated learning framework where user data never leaves local devices

  • Differential privacy (ฮต=0.5) for all aggregated metrics

  • End-to-end encrypted prediction streams using AES-256-GCM

Model Security:

  • Adversarial training with 15% synthetic attack samples

  • Daily integrity checks via Merkle root verification

  • Decentralized model training across 50+ node operators

Smart Contract Safeguards:

  • Formal verification using Certora prover

  • $50,000 bug bounty program

  • Circuit-breaker mechanisms halting predictions during extreme volatility

The system has undergone third-party audits by Hacken (score: 9.8/10) and maintains $5M insurance coverage via Nexus Mutual.

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