> For the complete documentation index, see [llms.txt](https://wakehacker.gitbook.io/wakehacker/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wakehacker.gitbook.io/wakehacker/autonomous-auditing.md).

# 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.