# ZkLock {% hint style="info" %} Our native token $ZKLK has been launched! {% endhint %} ## Introduction ZkLock stands as a beacon of security in an era where data breaches and privacy invasions are becoming the norm. ZkLock specializes in Privacy-Preserving Machine Learning (PPML), decentralized anonymous routing, signature hardware security, user data sovereignty, and scalable privacy infrastructure. Our innovative solutions are built on the principles of federated learning, secure multiparty computation, and advanced encryption techniques, ensuring that privacy is not just an option but a standard. With a team of visionary developers and privacy advocates, ZkLock is committed to creating a secure digital environment where privacy is respected and protected. Whether you're an individual looking to safeguard your online activities or an organization aiming to secure sensitive data, ZkLock offers the tools and expertise to navigate the complexities of digital privacy with ease and confidence. Join us on our journey to redefine privacy in the digital age, where your data remains yours, and security is synonymous with freedom. Welcome to ZkLock – your partner in protecting what matters most. --- # 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://zklock.gitbook.io/zklock/zklock.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.