# Privacy and Security The iAgent protocol was designed with privacy and security at its core, leveraging the inherent features of blockchain technology. In the iAgent network, all transactions are secured on the blockchain, which ensures a transparent, immutable, and tamper-proof record. Data privacy is a significant concern in AI, especially when training models. To protect users' information, iAgent provides anonymized and encrypted data for the purpose of training intelligent models. Data encryption gives our users complete control over their data, letting them decide how and when to use it. A proof-of-stake consensus mechanism further enhances the protocol's security. It discourages malicious activities by requiring participants to stake $AGNT tokens, which can be lost if they act against the network's rules. As well as tracking reward distributions, Protocol validator nodes provide final confirmation to secure the network and reward GPU workers. The protocol's smart contracts, which govern various activities such as trading, leasing, and voting, are meticulously tested and audited to prevent vulnerabilities. As for ownership security, iAgent uses the 'Proof of Ownership' mechanism to manage intelligent game agents' ownership. It assures that the rightful owners have complete control over their agents and can securely train, trade or lease them on MarketHub and GameHub. Governance $AGNT token holders are given voting rights, and the voting process is transparent and secure, safeguarding the network against centralized control and manipulation. Overall, privacy and security are inherent in every aspect of the iAgent protocol, ensuring a safe, reliable environment for all participants. --- # 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.iagentpro.com/protocol-governance/privacy-and-security.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.