# Security, Privacy, & Trust **Cryptographic AI Asset Protection** * **ZK-Protected AI Data Usage:** Users can train AI models on encrypted datasets without direct access, ensuring privacy-preserving AI development. * **Merkle Proofs for Dataset Integrity:** All datasets include on-chain proofs of authenticity, preventing tampering or duplication. **Challenger-Based Fraud Detection** * **Challenger Model:** Any participant can challenge datasets/models with fraudulent claims. * **Slashing Mechanism:** If a dataset is found to be invalid or misleading, the submitter is penalized, and challengers are rewarded. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.lazai.network/lazai-workflow-and-runtime/dat-specifications-and-flow/security-privacy-and-trust.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.