🔏Security and Privacy

Encryption

Sensitive data is encrypted using advanced encryption techniques, ensuring that even the AI trainers cannot access the raw data. Only the encrypted model updates are shared among the trainers.

Secure Multiparty Computation

To protect data privacy during the training process, secure multiparty computation techniques are employed. This ensures that no single entity has access to the entire dataset.

Auditing

The decentralized nature of the blockchain allows for transparent auditing of transactions and interactions on the CloudAI platform, ensuring accountability and trust.