Decentralized identity management ensures that AI models are protected through:

1. _Encryption_: AI models are encrypted, making them unreadable to unauthorized parties.

2. _Hashing_: AI models are hashed, creating a unique digital fingerprint for integrity verification.

3. _Digital signatures_: AI models are signed with digital signatures, ensuring authenticity and ownership.

4. _Access control_: Access to AI models is restricted, with permissions granted only to authorized parties.

5. _Decentralized storage_: AI models are stored across a decentralized network, reducing the risk of single-point failure.

6. _Version control_: AI models are version-controlled, ensuring that changes are tracked and recorded.

7. _Tamper-evidence_: Any attempts to tamper with AI models are detectable, ensuring integrity.

8. _Immutable ledger_: AI models are stored on an immutable ledger, preventing unauthorized modifications.

By utilizing these measures, decentralized identity management ensures that AI models are securely stored, protecting intellectual property and maintaining model integrity.