AI Audit

Trust Through Transparency: Leveraging AI and SLSA for Secure Smart Contract Deployments

In recent years, AI technology has advanced by leaps and bounds, empowering state-of-the-art AI agents to automatically audit code, detect vulnerabilities, and generate insightful real-time summaries. This progress has not only significantly enhanced development efficiency and software quality but has also revolutionized the way we approach code auditing and security management.

However, despite the benefits of open-source software in the Web3 ecosystem, verifying that the deployed code precisely matches the original source stored on GitHub remains a formidable challenge. Relying on users to rebuild and manually compare the two versions is neither effective nor responsible from a security standpoint.

Therefore, it is essential to adopt transparent verification frameworks like SLSA (Supply Chain Levels for Software Artifacts) to certify the deployment process in a controlled environment while openly disclosing the code’s provenance. By integrating rapidly evolving AI technology to automatically conduct fundamental code audits—and by publicly revealing the prompts and results generated during these audits—we can establish a system where developers and AI collaboratively serve as impartial validators. This comprehensive approach not only maximizes the integrity and trustworthiness of the software supply chain but also provides clear assurance that the deployed code and the open-source repository are in perfect alignment.