Security & Privacy Protocols
We implement military-grade security through:
Data Protection:
Federated learning framework where user data never leaves local devices
Differential privacy (ε=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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