"zkp ai security" refers to the use of **zero-knowledge proofs (ZKPs)** to enhance the **security and privacy of artificial intelligence (AI)** systems.

In this context:
- A **zero-knowledge proof** is a cryptographic method that allows one party to prove to another that a statement is true without revealing the underlying data or information.
- **AI security** concerns the protection of AI models, data, and computations from tampering, leakage, and misuse.

Combining these, **ZKP AI security** involves applying zero-knowledge techniques to ensure that AI models or computations can be verified as correct or compliant without exposing sensitive data, model parameters, or proprietary algorithms. This is especially useful in privacy-preserving machine learning, federated learning, and secure model deployment.