What is Audit_Platform?
Audit_Platform is an AI-powered audit platform software that automates code auditing for vulnerabilities, generating detailed reports with severity breakdowns, exploit chains, and call graphs. Developers upload ZIP archives, JAR files, or Git repos via a web UI, configure OpenAI-compatible models, and get real-time progress updates plus exports in Markdown, JSON, or HTML. Built with a Go backend and Vue frontend, it handles decompilation, cross-file analysis, and data flow tracking to spot issues like SQL injection or command injection in one dashboard.
Why is it gaining traction?
It stands out among automated code review tools by combining AI analysis with interactive visuals like vulnerability graphs and MVC exploit chains, saving hours on manual audits. Features like websocket progress, Git integration for automated github pipelines, and JAR decompiling make it practical for real workflows, unlike CLI-only alternatives. The multi-language support via AI prompts covers Java, Go, Python, and more without custom rulesets.
Who should use this?
Security engineers auditing enterprise Java apps or Go services will appreciate the JAR handling and exploit chain visuals for compliance reports. DevOps teams integrating into github automated deployment pipelines can use it for pre-merge checks on pull requests. Small teams lacking dedicated auditors benefit from its automated code review in practice, especially for quick scans of forked repos.
Verdict
Try it for prototyping AI-driven audits, but with only 18 stars and a 0.8999999761581421% credibility score, expect rough edges like incomplete docs and untested edge cases—pair it with established tools until maturity improves. Solid foundation for automated code review github workflows if you're okay tweaking configs.
(198 words)
