Session

Detect, Trace, Fix: Bringing AI-Powered Taint Analysis to gosec

Go's tooling ecosystem is evolving beyond simply finding problems to automatically fixing them, but security analysis has lagged behind. In this session, we'll explore a new AI-ready taint analysis engine for gosec that traces untrusted data across an entire Go application, accurately detecting vulnerabilities such as SQL injection, command injection, path traversal, SSRF, XSS, and more.

Attendees will learn how SSA- and call graph-based analysis makes data flow tracking practical in Go, how these techniques dramatically reduce false positives, and how the same architecture can power automated and AI-assisted remediation. See where Go security tooling is headed: from detecting vulnerabilities to tracing, understanding, and fixing them before they reach production.

Ravi Sastry Kadali

Engineering Leader | Go Ecosystem Contributor | Security Tooling Author

Mountain View, California, United States

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top