AI-Assisted Security Audit for Datasette Patches
Originally published on Simon Willison's Weblog by Simon Willison
Summary & Key Takeaways
• Datasette released security patch versions 1.0a39 and 0.65.4. • These patches address issues for instances running on the public web, especially those mixing public and private tables. • The audit was conducted by Alex Garcia and Simon Willison using Claude Fable 5.1, GPT-5.6, and GPT-6 Astra. • Frontier AI models helped discover subtle bugs in the codebase. • The team plans to integrate AI security audits into future development workflows. • A productive workflow involved one person creating tests and the other implementing fixes.
Our Commentary
This is fascinating. We've been talking about AI for code generation, but AI for security auditing? That's a whole new level of trust and capability. I'm genuinely curious about the types of "subtle bugs" these models found. It feels like a glimpse into the future of devops, where AI agents are constantly scrutinizing our code. There's something unsettling about agents churning away at 3am while nobody's watching, but also incredibly powerful.