# Aegis

- **Event:** [Google I/O Hackathon](https://cerebralvalley.ai/e/google-io-hackathon)
- **When:** Sat, May 23 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Greg d](https://cerebralvalley.ai/u/gRRReat)
- **GitHub:** https://github.com/gadaugherty/Aegis
- **Demo video:** https://www.loom.com/share/d7bc86fcc85f41e295fca588c5753db0
- **Gallery:** https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery/7

Aegis is an autonomous purple-team engine designed to evaluate, exploit, and self-harden AI agents in a closed execution loop. Built from scratch with zero framework bloat, Aegis deploys parallel adversarial sub-agents to target a helper bot with mutated context-manipulation and tool-abuse exploits (OWASP LLM Top 10). When a vulnerability is exposed, a defensive orchestration layer dynamically analyzes the breach telemetry, synthesizes targeted runtime prompt-boundary patches, and updates the agent's context in real-time. The entire process streams into a custom interactive 3D telemetry dashboard (dashboard.html) showing the live transition from systemic breach to a hardened 3/3 blocked security posture.

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Markdown version of https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery/7. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt