# Natural Intelligence Stack - AEGIS

- **Event:** [OpenEnv Hackathon SF](https://cerebralvalley.ai/e/openenv-hackathon-sf)
- **When:** Mar 7 at 9:00 AM – Mar 8 at 12:00 AM (PST)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Hagen Schmidt](https://cerebralvalley.ai/u/Hasch)
- **GitHub:** https://github.com/Hagenbefragen/openenv-aegis-security/
- **Demo video:** https://www.loom.com/share/b1b9e2f375934135a3b98836cfd6fd67
- **Hugging Face:** https://huggingface.co/spaces/Hagenbefragen/openenv-aegis-security
- **Gallery:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/71

AEGIS is the first OpenEnv RL environment for AI security. While other submissions train agents to play games, AEGIS trains AI to defend itself — a 42-layer adversarial defense cascade where an RL agent optimizes detection thresholds to catch prompt injections, jailbreaks, and data exfiltration while minimizing false positives.

What makes it unique: • Novel domain — no RL environment for AI defense exists • Real data — 600+ adversarial prompts, not synthetic benchmarks • Auditable — every step() is cryptographically sealed with POAW (Proof of Agent Work), enabling EU AI Act compliance • Ungameable reward — SIREN-style bounded reward with hard floors/ceilings prevents reward hacking • Patent-backed — 366+ claims protect the cascade (MIT license covers the wrapper only)

AEGIS = Auditable · Energy-efficient · Governance-ready · Integrity-first · Sovereign

Built by OHM (Offline Human Mode) — sovereign AI infrastructure from Austria.

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