# 2.2  ZKML Verification Protocol

**Zero-Knowledge Machine Learning (ZKML)**

* **Concept and Implementation:**&#x54;he ZKML protocol applies the principles of zero-knowledge proofs to machine learning models, ensuring that the correctness of model execution can be verified without revealing the internal data and parameters of the model. Agentora has invested $1.32 million in reconstructing this protocol to ensure its security and efficiency.<br>
* **Privacy and Security:**&#x44;uring the training process, decisions and parameter updates of AI models are verified through zero-knowledge proofs. This ensures that external observers cannot steal sensitive information, while still confirming that the decision-making process complies with predetermined rules.<br>
* O**n-Chain Verification:**&#x45;ach AI decision is accompanied by an immutable model fingerprint that is verified on-chain through the ZKML protocol. This ensures that all decision-making processes are transparent, traceable, and tamper-proof.


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