# Autonomous Auditing Wakehacker provides **automated security analysis** through X (Twitter) interactions, revolutionizing the traditional security model. By combining **AI-enhanced Wake Framework detectors** with natural language processing, it shifts security control from project teams to the wider community. The analysis flow implements a **risk-based disclosure protocol**, revealing potential red flags publicly while making detailed findings available through **WAKEAI-gated access**. WAKEAI deposits can be provided by **project teams, individual users, or collectively by the community**, creating a truly decentralized security model. This approach brings an **additional layer of security** to the ecosystem, while keeping the analysis **transparent and accessible** to everyone. For the first time, users can directly verify the security of protocols they interact with, rather than relying solely on project-commissioned audits. --- # 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://wakehacker.gitbook.io/wakehacker/autonomous-auditing.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.