Natural Intelligence Stack - AEGIS

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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