AegisNet: A Multi-Agent Biomimetic Intelligence Framework for Penetration-Resilient Electromagnetic Cyber-Defense

This research introduces AegisNet, a biomimetic multi-agent intelligence architecture engineered for cyber-electromagnetic defense in contested multidomain environments. Utilizing adaptive neural structures, Floquet-modulated spectrum shielding, and red-teaming AI swarms, AegisNet autonomously detects, deflects, and recovers from electromagnetic (EM) intrusions. Simulation results demonstrate >96% threat mitigation efficiency, rapid agent consensus adaptation, and operational reconfiguration in under 7 seconds. Public-facing algorithmic structures are provided for academic and national security validation. Proprietary modules and morphogenic kernel strategies are redacted under strategic export compliance. This framework forms the public scientific counterpart to Sentinel AI’s classified deployment track.