# ConfigGuardian

- **Event:** [Google Gemini Hackathon](https://cerebralvalley.ai/e/2025-ted-ai-hackathon)
- **When:** Oct 18 at 9:00 AM – Oct 19 at 5:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Manoj Konda](https://cerebralvalley.ai/u/kmanoj03)
- **GitHub:** https://github.com/kmanoj03/config-guardian
- **Demo video:** https://drive.google.com/file/d/1hE9ALKbIlpAYYc-aQVzn2idpnNyMe6cU/view?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/2025-ted-ai-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/2025-ted-ai-hackathon/hackathon/gallery/56

ConfigGuardian is an AI-powered configuration security agent that analyzes raw configuration files or even screenshots like Kubernetes YAMLs or Dockerfiles to automatically detect misconfigurations and propose secure fixes.

Using Google’s multimodal Gemini models, ConfigGuardian can parse text or extract it directly from images, reason about risky settings such as running as root, unpinned images, or exposed ports, and then generate secure auto-fix code diffs.

Finally, it produces a cryptographic provenance record anchored via a Fetch.ai agent, providing tamper-proof, verifiable audit trails for every scan.

In short, ConfigGuardian turns raw or visual configuration data into AI-audited, auto-fixed, and verifiably trustworthy security insights — bridging the gap between developer convenience and compliance-grade integrity.

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