🔑Privacy Measures

CentAI prioritizes data security and privacy through the adoption of advanced methodologies:

1. Advanced Encryption Protocols:

• Employ AES-256 encryption for securing data in transit and at rest.

• Integrate quantum-resistant algorithms to safeguard against future cryptographic threats.

2. Data Minimization:

• Collect and process only essential data to reduce exposure and risks.

• Empower users with the ability to control, manage, and delete their data on-demand.

3. Decentralized Storage Solutions:

• Utilize distributed file systems, such as IPFS, to eliminate centralized data silos.

• Incorporate redundancy mechanisms to ensure data availability and prevent loss.

4. User-Controlled Privacy Settings:

• Provide granular privacy controls for users to manage data visibility and sharing preferences.

• Offer anonymization tools to mask user identities while enabling participation in collaborative environments.

5. Federated Learning Models:

• Enable AI model training across decentralized datasets without transferring sensitive information.

• Ensure raw data remains on local devices, maintaining user privacy while supporting collaborative AI development.

CentAI’s comprehensive approach to data protection ensures a secure and privacy-centric ecosystem, fostering trust and empowering users to take control of their data.